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Episode #502: Django Ledger: Accounting with Python
Released April 21, 2025 (5 days ago)
Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, created by Miguel Sanda, which can do just that.
Episode #500: Django Simple Deploy and other DevOps Things
Released April 10, 2025 (16 days ago)
We're sitting down with Eric Matthes, the educator, author, and developer behind Django Simple Deploy. If you've ever struggled with taking that final step of getting your Django app onto a live server (without spending days wrestling with DevOps complexities), then give Django Simple Deploy a look. Eric shares how Django Simple Deploy automates away the boilerplate parts of deployment, so you can focus on building features instead of deciphering endless configs. We'll talk about this new project's journey to 1.0, the range of hosting platforms it supports, and why it's not just for beginners.
Episode #496: Scaf: Complete blueprint for new Python Kubernetes projects
Released March 14, 2025 (43 days ago)
Today we explore the wild world of Python deployment with my friend, Calvin Hendryx-Parker from Six Feet Up. We’ll tackle some of the biggest challenges in taking a Python app from “it works on my machine” to production, covering inconsistent environments, conflicting dependencies, and sneaky security pitfalls. Along the way, Calvin shares how containerization with Docker and Kubernetes can both simplify and complicate deployments, especially for smaller teams. Finally, we’ll introduce Scaf, a powerful project blueprint designed to give developers a rock-solid start on Python web projects of all sizes.

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Episode #495: OSMnx: Python and OpenStreetMap
Released February 24, 2025 (61 days ago)
On this episode, I'm joined by Dr. Geoff Boeing, an assistant professor at the University of Southern California whose research spans urban planning, spatial analysis, and data science. We explore why OpenStreetMap is such a powerful source of global map data—and how Geoff's Python library, OSMnx, makes that data easier to download, model, and visualize. Along the way, we talk about what shapes city streets around the world, how urban design influences everything from daily commutes to disaster resilience, and why turning open data into accessible tools can open up completely new ways of understanding our cities. If you've ever wondered how to build or analyze your own digital maps in Python, or what it takes to manage a project that transforms raw geographic data into meaningful research, you won't want to miss this conversation.
Episode #493: Quarto: Open-source technical publishing
Released February 09, 2025 (76 days ago)
In this episode, I'm joined by JJ Allaire, founder and executive chairman at Posit, and Carlos Scheidegger, a software engineer at Posit, to explore Quarto, an open-source tool revolutionizing technical publishing. We discuss how Quarto empowers users to seamlessly transform Jupyter notebooks into polished reports, dashboards, e-books, websites, and more. JJ shares his journey from creating RStudio to developing Quarto as a versatile, multi-language tool, while Carlos delves into its roots in reproducibility and the challenges of academic publishing. Don't miss this deep dive into a tool that's shaping the future of data-driven storytelling!
Episode #491: DuckDB and Python: Ducks and Snakes living together
Released December 27, 2024 (120 days ago)
Join me for an insightful conversation with Alex Monahan, who works on documentation, tutorials, and training at DuckDB Labs. We explore why DuckDB is gaining momentum among Python and data enthusiasts, from its in-process database design to its blazingly fast, columnar architecture. We also dive into indexing strategies, concurrency considerations, and the fascinating way MotherDuck (the cloud companion to DuckDB) handles large-scale data seamlessly. Don’t miss this chance to learn how a single pip install could totally transform your Python data workflow!
Episode #490: Django Ninja
Released December 24, 2024 (123 days ago)
If you're a Django developer, I'm sure you've heard so many people raving about FastAPI and Pydantic. But you really love Django and don't want to switch. Then you might want to give Django Ninja a serious look. Django Ninja is highly inspired by FastAPI, but is also deeply integrated into Django itself. We have Vitaliy Kucheryaviy the creator of Django Ninja on this show to tell us all about it.
Episode #489: Anaconda Toolbox for Excel and more with Peter Wang
Released December 20, 2024 (127 days ago)
Peter Wang has been pushing Python forward since the early days of its data science roots. We're lucky to have him back on the show. We're going to talk about the Anaconda Toolbox for Excel as well as many other trends and topics that are hot in the Python space right now. I'm sure you'll enjoy listening to the two of us exchanging our takes on the topics and trends.
Episode #488: Multimodal data with LanceDB
Released December 12, 2024 (135 days ago)
LanceDB is a developer-friendly, open source database for AI. It's used by well-known companies such as Midjourney and Character.ai. We have Chang She, the CEO and cofounder of LanceDB on to give us a look at the concept of multi-modal data and how you can use LanceDB in your own Python apps.
Episode #487: Building Rust Extensions for Python
Released December 01, 2024 (146 days ago)
There has been a lot of changes in the low-level Python space these days. The biggest has to be how many projects have rewritten core performance-intensive sections in Rust. Or even the wholesale adoption of Rust for newer projects such as uv and ruff. On this episode, we dive into the tools and workflow needed to build these portions of Python apps in Rust with David Seddon and Samuel Colvin.
Episode #486: CSnakes: Embed Python code in .NET
Released November 22, 2024 (155 days ago)
If you are a .NET developer or work in a place that has some of those folks, wouldn't it be great to fully leverage the entirety of PyPI with it's almost 600,000 packages inside your .NET code? But how would you do this? Previous efforts have let you write Python syntax but using the full libraries (especially the C-based ones) has been out of reach, until CSnakes. This project by Anthony Shaw and Aaron Powell unlocks some pretty serious integration between the two languages. We have them both here on the show today to tell us all about it.
Episode #485: Secure coding for Python with SheHacksPurple
Released November 15, 2024 (162 days ago)
What do developers need to know about AppSec and building secure software? We have Tanya Janca (AKA SheHacksPurple) on the show to tell us all about it. We talk about what developers should expect from threat modeling events as well as concrete tips for security your apps and services.
Episode #484: From React to a Django+HTMX based stack
Released November 05, 2024 (172 days ago)
Have you heard about HTMX? We've discussed it a time or two on this show. We're back with another episode on HTMX, this time with a real-world success story and lessons learned. We have Sheena O'Connell on to tell us how she moved from a React-Django app to pure Django with HTMX.
Episode #483: Reflex Framework: Frontend, Backend, Pure Python
Released October 29, 2024 (179 days ago)
Let's say you want to create a web app and you know Python really well. Your first thought might be Flask or Django or even FastAPI? All good choices but there is a lot to get a full web app into production. The framework we'll talk about today, Reflex, allows you to just write Python code and it turns it into a full web app running FastAPI, NextJS, React and more plus it handles the deployment for you. It's a cool idea. Let's talk to Elvis Kahoro and Nikhil Rao from Reflex.dev.
Episode #481: Python Opinions and Zeitgeist with Hynek
Released October 17, 2024 (191 days ago)
Hynek has been writing and speaking on some of the most significant topics in the Python space and I've enjoyed his takes. So I invited him on the show to share them with all of us. This episode really epitomizes one of the reasons I launched Talk Python 9 years ago. It's as if we run into each other at a bar during a conference and I ask Hynek, "So what are your thoughts on ..." and we dive down the rabbit hole for an hour. I hope you enjoy it.
Episode #480: Ahoy, Narwhals are bridging the data science APIs
Released October 09, 2024 (199 days ago)
If you work in data science, you definitely know about data frame libraries. Pandas is certainly the most popular, but there are others such as cuDF, Modin, Polars, Dask, and more. They are all similar but definitely not the same APIs and Polars is quite different. But here's the problem. If you want to write a library that is for users of more than one of these data frame frameworks, how do you do that? Or if you want to leave open the possibility of changing yours after the app is built, same problem. That's the problem that Narwhals solves. We have Marco Gorelli on the show to tell us all about it.
Episode #479: Designing Effective Load Tests for Your Python App
Released October 06, 2024 (202 days ago)
You're about to launch your new app or API, or even just a big refactor of your current project. Will it stand up and deliver when you put it into production or when that big promotion goes live? Or will it wither and collapse? How would you know? Well you would test that of course. We have Anthony Shaw back on the podcast to dive into a wide range of tools and techniques for performance and loading testing of web apps.
Episode #478: When and how to start coding with kids
Released September 25, 2024 (213 days ago)
Do you have kids? Maybe nieces and nephews? Or maybe you work in a school environment? Maybe it's just friend's who know you're a programmer and ask about how they should go about introducing programming concepts with them. Anna-Lena Popkes is back on the show to share her research on when and how to teach kids programming. We spend the second half of the episode talking about concrete apps and toys you might consider for each age group. Plus, some of these things are fun for adults too. ;)
Episode #477: Awesome Text Tricks with NLP and spaCy
Released September 20, 2024 (218 days ago)
Do you have text that you want to process automatically? Maybe you want to pull out key products or topics of conversation? Maybe you want to get the sentiment? The possibilities are many with this week's topic: NLP with spaCy and Python. Our guest, Vincent D. Warmerdam, has worked on spaCy and other tools at Explosion AI and he's here to give us his tips and tricks for working with text from Python.
Episode #474: Python Performance for Data Science
Released August 19, 2024 (250 days ago)
Python performance has come a long way in recent times. And it's often the data scientists, with their computational algorithms and large quantities of data, who care the most about this form of performance. It's great to have Stan Seibert back on the show to talk about Python's performance for data scientists. We cover a wide range of tools and techniques that will be valuable for many Python developers and data scientists.
Episode #472: State of Flask and Pallets in 2024
Released July 26, 2024 (274 days ago)
This episode turned out to be a seminal one for me. After speaking with David about the Flask ecosystem, it finally convinced me to get moving and convert talkpython.fm to Quart. You can read all about the journey in a detailed write up I did at Talk Python rewritten in Quart (async Flask).

With this episode, I hope you’re ready for an inside look at the latest happenings in Flask, one of Python’s most popular web frameworks. David Lord, Flask’s lead maintainer, takes us behind the scenes of recent performance boosts (like a 50% speedup in Werkzeug), the future of async support via Quart, and how the broader Pallets ecosystem is evolving under one umbrella. You’ll also hear about Pallets Eco, which aims to streamline and revive critical Flask extensions, and learn how you can contribute to this massive open-source effort. If you use Flask, want to keep your Python apps on the cutting edge, or just love data-driven insights from top maintainers, this episode is for you.

Flask and its sister libraries are faster, leaner, and more maintainable than ever. The pallets-eco initiative aims to keep the Flask extension ecosystem thriving. David and the Pallets team welcome new contributors, especially folks interested in type annotations, extension maintenance, or community support. Check out the Pallets Discord to get involved!

Episode #470: Python in Medicine and Patient Care
Released July 12, 2024 (288 days ago)
Python is special. It's used by the big tech companies but also by those you would rarely classify as developers. On this episode, we get a look inside how Python is being used at a Children's Hospital to speed and improve patient care. We have Dr. Somak Roy here to share how he's using Python in his day to day job to help kids get well a little bit faster.
Episode #469: PuePy: Reactive frontend framework in Python
Released July 08, 2024 (292 days ago)
Python is one of the most popular languages of the current era. It dominates data science, it an incredible choice for web development, and its many people's first language. But it's not super great on front-end programing, is it? Frameworks like React, Vue and other JavaScript frameworks rule the browser and few other languages even get a chance to play there. But with pyscript, which I've covered several times on this show, we have the possibility of Python on the front end. Yet it's not really a front end framework, just a runtime in the browser. That's why I'm excited to have Ken Kinder on the podcast to talk about his project PuePy, a reactive frontend framework in Python.
Episode #468: Python Trends Episode 2024
Released July 01, 2024 (299 days ago)
I've gathered a group of Python experts who have been thinking deeply about where Python is going and who have lived through where it has been. This episode is all about near-term Python trends and things we each believe will be important to focus on as Python continues to grow. Our panelists are Jodie Burchell, Carol Willing, and Paul Everett.
Episode #467: Data Science Panel at PyCon 2024
Released June 20, 2024 (310 days ago)
I have a special episode for you this time around. We're coming to you live from PyCon 2024. I had the chance to sit down with some amazing people from the data science side of things: Jodie Burchell, Maria Jose Molina-Contreras, and Jessica Greene. We cover a whole set of recent topics from a data science perspective. Though we did have to cut the conversation a bit short as they were coming from and go to talks they were all giving but it was still a pretty deep conversation.
Episode #466: Pydantic Performance Tips
Released June 14, 2024 (316 days ago)
You're using Pydantic and it seems pretty straightforward, right? But could you adopt some simple changes to your code that would make it a lot faster and more efficient? Chances are, you'll find a couple of the tips from Sydney Runkle that will do just that. Join us to talk about Pydantic performance tips here on Talk Python.
Episode #465: The AI Revolution Won't Be Monopolized
Released June 08, 2024 (322 days ago)
There hasn't been a boom like the AI boom since the .com days. And it may look like a space destined to be controlled by a couple of tech giants. But Ines Montani thinks open source will play an important role in the future of AI. I hope you join us for this excellent conversation about the future of AI and open source.
Episode #464: Seeing code flows and generating tests with Kolo
Released May 29, 2024 (332 days ago)
Do you want to look inside your Django request? How about all of your requests in development and see where they overlap? If that sounds useful, you should check out Kolo. It's a pretty incredible extension for your editor (VS Code at the moment, more editors to come most likely). We have Wilhelm Klopp on to tell us all about it.
Episode #463: Running on Rust: Granian Web Server
Released May 25, 2024 (336 days ago)
So you've created a web app with Python using Flask, Django, FastAPI, or even Emmett. It works great on your machine. How do you get it out to the world? You'll need a production-ready web server. On this episode, we have Giovanni Barillari to tell us about his relatively-new server named Granian. It promises better performance and much better consistency than many of the more well known ones today.
Episode #462: Pandas and Beyond with Wes McKinney
Released May 15, 2024 (346 days ago)
This episode dives into some of the most important data science libraries from the Python space with one of its pioneers: Wes McKinney. He's the creator or co-creator of pandas, Apache Arrow, and Ibis projects and an entrepreneur in this space.
Episode #461: Python in Neuroscience and Academic Labs
Released May 09, 2024 (352 days ago)
Do you use Python in an academic setting? Maybe you run a research lab or teach courses using Python. Maybe you're even a student using Python. Whichever it is, you'll find a ton of great advice in this episode. I talk with Keiland Cooper about how he is using Python at his neuroscience lab at the University of California, Irvine.
Episode #460: Dropbase: Build Internal Tools with Python
Released May 02, 2024 (359 days ago)
Do you find yourself or your team building internal apps frequently for your company? Are you familiar with the term "forms over data"? They are super empowering for your org but they can be pretty repetitive and you might find yourself spending more time than you'd like working on them rather than core products and services. I invited Jimmy Chan from Dropbase to tell us about their service who's tagline is "Build internal web apps with just Python." It's a cool service and a fun conversation.
Episode #459: I Built A Python SaaS with AI
Released April 27, 2024 (364 days ago)
We all know that tools like ChatGPT have really empowered developers to tackle bigger problems. Are you using TailwindCSS and need a login page? Try asking Chat "What is the HTML for a login page with the login username, password, and button in its own section in the center of the page?" It will literally give you a first pass version of it. But how far can you push this? Fred Tubiermont may have taken it farther than most. He built a functioning SaaS product with paying customers by only using ChatGPT and Python. It's fascinating to hear his story.
Episode #458: Serverless Python in 2024
Released April 24, 2024 (1 years ago)
Serverless has moved from the fringes to the forefront of modern application architecture, especially for Pythonistas looking to reduce operational complexity. Today, we’re joined by Tony Sherman—an industry pro who’s taken Python-based projects from proof-of-concept to production, all powered by serverless tech like AWS Lambda and RDS Proxy. We’ll break down real-world performance tips, packaging best practices, and highlight the new wave of serverless-friendly libraries in the Python ecosystem. Whether you’re building IoT pipelines, spinning up ephemeral dev environments, or just sick of tinkering with Kubernetes, this discussion will help you decide if serverless is your next logical move—and how to get there smoothly.
Episode #456: Building GPT Actions with FastAPI and Pydantic
Released April 16, 2024 (1 years ago)
Do you know what custom GPTs are? They're configurable and shareable chat experiences with a name, logo, custom instructions, conversation starters, access to OpenAI tools, and custom API actions. And, you can build them with Python! Ian Maurer has been doing just that and is here to share his experience building them.
Episode #455: Land Your First Data Job
Released April 04, 2024 (1 years ago)
Interested in data science but you're not quite working in it yet? In software, getting that very first job can truly be the hardest one to land. On this episode, we have Avery Smith from Data Career Jumpstart here to share his advice for getting your first data job.
Episode #454: Data Pipelines with Dagster
Released March 21, 2024 (1 years ago)
Do you have data that you pull from external sources or is generated and appears at your digital doorstep? I bet that data needs processed, filtered, transformed, distributed, and much more. One of the biggest tools to create these data pipelines with Python is Dagster. And we are fortunate to have Pedram Navid on the show this episode. Pedram is the Head of Data Engineering and DevRel at Dagster Labs. And we're talking data pipelines this week at Talk Python.
Episode #453: uv - The Next Evolution in Python Packages?
Released March 13, 2024 (1 years ago)
Have you ever been wait around for pip to do its thing while installing packages or syncing a virtual environment or through some higher level tool such as pip-tools? Then you'll be very excited to hear about the tool just announced from Astral called uv. It's like pip, but 100x faster. Charlie Marsh from Ruff fame and founder of Astral is here to dive in. Let's go.
Episode #452: Top Quart (async Flask) Extensions
Released March 10, 2024 (1 years ago)
Have you heard of Quart? It's the fully-async version of Flask created by Philip Jones who is working closely with the Flask team on these parallel projects. The TL;DR; version is that if you want to take advantage of async and await and you're using Flask, you want to give Quart a solid look. We've spoken to Philip previously about Quart. This time around here's here to share his top Quart extensions and libraries you can adopt today.
Episode #451: Djangonauts, Ready for Blast-Off
Released March 01, 2024 (1 years ago)
Are you interested in contributing to Django? Then there is an amazing mentorship program that helps Python and Django enthusiasts, because contributes and potentially core developers of Django. It's called Djangonauts and their slogan is "where contributors launch." On this episode, we have Sarah Boyce from the Django team and former Djangonaut and now Djangonaut mentor, Tushar Gupta. Not only is this excellent for the Django community, many of other open source communities would do well to keep an eye on how this creative project is working.
Episode #450: Versioning Web APIs in Python
Released February 22, 2024 (1 years ago)
You've built an awesome set of APIs and you have a wide array of devices and clients using them. Then you need to upgrade an end point or change them in a meaningful way. Now what? That's the conversation I dive into over the next hour with Stanislav Zmiev. We're talking about Versioning APIs.
Episode #449: Building UIs in Python with FastUI
Released February 13, 2024 (1 years ago)
Building web UIs in Python has always been in interesting proposition. On one end, we have a the full web design story with artisanal HTML and CSS. On another end there are several Python platforms that aim to the bring RAD, rapid app development, style of building with Python. Those can be great, and I've covered a couple of them, but they usually reach a limit on what they can do or how they integrate with the larger web ecosystem. On this episode, we have Samuel Colvin to share his latest exciting project FastUI. With FastUI, you build responsive web applications using React without writing a single line of JavaScript, or touching npm. Yet designers and other tools can focus on React front-ends for a professional SPA like app experience.
Episode #448: Full-Time Open Source Devs Panel
Released February 08, 2024 (1 years ago)
So you've created a Python-based open source project and it's started to take off. You're getting contributors, lots of buzz in the podcast space, and more. But you have that day job working on Java. How do you make the transition from popular hobby project to full time job? After all, you are giving away your open source project for free, right? Well, on this episode, I have put together an amazing panel of guests who all have done exactly this: Turned their project into full time work and even companies in some cases. We have Samuel Colvin, Gina Häußge, Sebastián Ramírez, Charlie Marsh, Will McGugan and Eric Holscher on to share their stories.
Episode #447: Parallel Python Apps with Sub Interpreters
Released February 03, 2024 (1 years ago)
It's an exciting time for the capabilities of Python. We have the Faster CPython initiative going strong, the recent async work, the adoption of typing and on this episode we discuss a new isolation and parallelization capability coming to Python through sub-interpreters. We have Eric Snow who spearheaded the work to get them added to Python 3.12 and is working on the Python API for 3.13 along with Anthony Shaw who has been pushing the boundaries of what you can already do with subinterpreters.
Episode #446: Python in Excel
Released January 26, 2024 (1 years ago)
Why is Python so popular? There is plenty of room for debate on this but one solid reason is it's easy to adopt, easy to use, and caters to people who are not quite developers/data scientists but need to do some computing. Do you know where there largest untapped set of that group hang out? Excel. That's why it's super exciting that Python is now going to be built directly into Excel. Just go into a cell and type =PY and you're off writing full Python 3 code that is backed by a lite Anaconda distribution of Python. And we have Dr. Sarah Kaiser here to give us the rundown on Python in Excel.
Episode #445: Inside Azure Data Centers with Mark Russinovich
Released January 19, 2024 (1 years ago)
When you run your code in the cloud, how much do you know about where it runs? I mean, the hardware it runs on and the data center it runs in? There are just a couple of hyper-scale cloud providers in the world. This episode is a very unique chance to get a deep look inside one of them: Microsoft Azure. Azure is comprised of over 200 physical data centers, each with 100,000s of servers. A look into how code runs on them is fascinating. Our guide for this journey will be Mark Russinovich. Mark is the CTO of Microsoft Azure and a Technical Fellow, Microsoft's senior-most technical position. He's also a bit of a programming hero of mine. Even if you don't host your code in the cloud, I think you'll enjoy this conversation. Let's dive in.
Episode #444: The Young Coder's Blueprint to Success
Released January 02, 2024 (1 years ago)
Are you early in your software dev or data science career? Maybe it hasn't even really started yet and you're still in school. On this episode we have Sydney Runkle who has had a ton of success in the Python space and she hasn't even graduated yet. We sit down to talk about what she's done and might do differently again to achieve that success. It's "The Young Coder's Blueprint to Success" on episode 444 of Talk Python To Me.
Episode #443: Python Bytes Crossover 2023
Released December 29, 2023 (1 years ago)
Special crossover episode of Python Bytes to wrap up 2023. Topics include:

      Extras
Episode #442: Ultra High Speed Message Parsing with msgspec
Released December 14, 2023 (1 years ago)
If you're a fan of Pydantic or dataclasses, you'll definitely be interested in this episode. We are talking about a super fast data modeling and validation framework called msgspec. Some of the types in here might even be better for general purpose use than Python's native classes. Join me and Jim Crist-Harif to talk about his data exchange framework, mspspec.
Episode #441: Python = Syntactic Sugar?
Released December 06, 2023 (1 years ago)
You've probably heard the term "syntactic sugar", that is, syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use. It turns out Brett Cannon has spent 2 years diving into and writing about Python's sweet language features and how they really work down inside CPython. He joins me on the show today to dive into a few of the more relevant posts he's written about it.
Episode #440: Talking to Notebooks with Jupyter AI
Released November 30, 2023 (1 years ago)
We all know that LLMs and generative AI has been working its way into many products. It's Jupyter's turn to get a really awesome integration. We have David Qiu here to tell us about Jupyter AI. Jupyter AI provides a user-friendly and powerful way to apply generative AI to your notebooks. It lets you choose from many different LLM providers and models to get just the help you're looking for. And it does way more than just a chat pane in the UI. Listen to find out.
Episode #437: HTMX for Django Developers (And All of Us)
Released November 07, 2023 (1 years ago)
Are you considering or struggling with replacing much of the interactivity of your Django app with frontend JavaScript frameworks? After all, your users do expect an interactive and modern app, right? Before you make a rash decision, you owe it to yourself to check out HTMX. It goes well with Django. We have Christopher Trudeau to run through a whole awesome list of HTMX and Python and tell us about his new HTMX + Django course.
Episode #435: PyPI Security
Released October 25, 2023 (2 years ago)
Do you worry about your developer / data science supply chain safety? All the packages for the Python ecosystem are much of what makes Python awesome. But the are also a bit of an open door to your code and machine. Luckily the PSF is taking this seriously and hired Mike Fiedler as the full time PyPI Safety & Security Engineer (not to be confused with the Security Developer in Residence staffed by Seth Michael Larson). Mike is here to give us the state of the PyPI security and plans for the future.
Episode #434: Building Mobile Apps Backed with Python
Released October 19, 2023 (2 years ago)
Are you building a mobile app and wondering where Python fits in the mix? Are you support others building these apps with backend APIs written in Python? Can you write your entire app, end to end, in Python? I have a great panel put together to discuss exactly this. And they all have a different and unique take on the options. Welcome to Loren Aguey, Harout Boujakjian, Andréas Kühne, Jeyfrin and, Joshua.
Episode #433: Litestar: Effortlessly Build Performant APIs
Released October 15, 2023 (2 years ago)
We all know about Flask and Django. And of course FastAPI made a huge splash when it came on the scene a few years ago. But new web frameworks are being created all the time. And they have these earlier frameworks to borrow from as well. On this episode we dive into a new framework gaining a lot of traction called Litestar. Will it be the foundation of your next project? Join me as I get to know Litestar with its maintainers: Jacob Coffee, Janek Nouvertné, and Cody Fincher.
Episode #432: Migrating to Pydantic 2.0: Beanie for MongoDB
Released October 06, 2023 (2 years ago)
By now, surely you've heard how awesome Pydantic version 2 is. The team led by Samual Colvin spent almost a year refactoring and reworking the core into a high-performance Rust version while keeping the public API in Python and largely unchanged. The main benefit of this has been massive speed ups for frameworks and devs using Pydantic.

But just how much work is it to take a framework deeply built on Pydantic and make that migration? What are some of the pitfalls? On this episode, we welcome back Roman Right to talk about his experience converting Beanie, the popular MongoDB async framework based on Pydantic, from Pydantic v1 to v2. And we'll have some fun talking MongoDB as well while we are at it.
Episode #431: Visualizing CPython Release Process
Released September 29, 2023 (2 years ago)
Every year Python has a new major release. This year it's Python 3.12 and it'll come out on October 2, 2023. That's 4 days from when this episode was published. There is quite process involved to test, build, and ship Python across many platforms and channels. We have Seth Michael Larson here to give us a detailed rundown on what exactly is involved in releasing CPython.
Episode #430: Delightful Machine Learning Apps with Gradio
Released September 19, 2023 (2 years ago)
So, you've got this amazing machine learning model you created. And you want to share it and let your colleagues and users experiment with it on the web. How do you get started? Learning Flask or Django? Great frameworks, but you might consider Gradio which is a rapid development UI framework for ML models. On this episode, we have Freddy Boulton, to introduce us all to Gradio.
Episode #429: Taming Flaky Tests
Released September 11, 2023 (2 years ago)
We write tests to show us when there are problems with our code. But what if there are intermittent problems with the tests themselves? That can be big hassle. In this episode, we have Gregory Kapfhammer and Owain Parry on the show to share their research and advice for taming flaky tests.
Episode #428: Django Trends in 2023
Released August 29, 2023 (2 years ago)
Have you heard of Django? It's this little web framework that, well, kicked off much of Python's significance in the web space back in 2005. And that makes Django officially an adult. That's right, Django is now 18. And Django continues to lead the way on how community should be done for individual projects such as web frameworks. We have Carlton Gibson and Will Vincent back on the show this episode to discuss a bit of the Django history, Django trends in 2023, a little HTMX + Django, and lots more.
Episode #427: 10 Tips and Ideas for the Beginner to Expert Python Journey
Released August 19, 2023 (2 years ago)
Getting started in Python is pretty easy. There's even a t-shirt that jokes about it: I learned Python, it was a good weekend. But to go from know how to create variables and writing loops, to building amazing things like FastAPI or Instagram, well there is this little gap between those two things. On this episode we welcome Eric Matthes to the show. He has thought a lot about teaching Python and comes to share his 10 tips for going from Python beginner to expert.
Episode #426: What's New in PyScript [August 2023]
Released August 09, 2023 (2 years ago)
One of the most exciting initiatives in the Python space these days is pyscript which enables Python running natively in your browser. With consistent support from the folks at Anaconda, this project has been making solid strides since its initial release. On this episode we catch up with Fabio Pliger and Nicholas Tollervey to see where they are with the pyscript project.
Episode #425: Memray: The endgame Python memory profiler
Released August 04, 2023 (2 years ago)
Understanding how your Python application is using memory can be tough. First, Python has it's own layer of reused memory (arenas, pools, and blocks) to help it be more efficient. And many important Python packages are built in natively compiled languages like C and Rust often times making that section of your memory opaque. But with Memray, you can way deeper insight into your memory usage. We have Pablo Galindo Salgado and Matt Wozniski back on the show to dive into Memray, the sister project to their pystack one we recently covered.
Episode #424: Shiny for Python
Released July 27, 2023 (2 years ago)
If you want to share your data science results as interactive web apps, you could learn Flask or Django and a bunch of other web technologies. Or, you could pick up one of the powerful frameworks for deploying data science specifically. And if you're searching through that space, you've likely hear of Shiny -- but that's just for the R side of data science, right? Not any longer. Joe Cheng is here to introduce us to the recently released Shiny for Python. And it looks like a very solid new framework on the block.
Episode #423: Solving 10 different simulation problems with Python
Released July 24, 2023 (2 years ago)
Python is used for a wide variety of software projects. One area it's really gained a huge amount of momentum is in the computational space (including data science). On this episode we welcome back Allen Downey to dive into a particular slice of this space: simulation problems and Python in Physics and Engineering in general.
Episode #422: How data scientists use Python
Released July 07, 2023 (2 years ago)
Regardless of which side of Python, software developer or data scientist, you sit on, you surely know that data scientists and software devs seem to have different styles and priorities. But why? And what are the benefits as well as the pitfalls of this separation. That's the topic of conversation with our guest, Dr. Jodie Burchell, data science developer advocate at JetBrains.
Episode #421: Python at Netflix
Released July 02, 2023 (2 years ago)
When you think of Netflix (as a technology company), you probably imagine them as cloud innovators. They were one of the first companies to go all-in on a massive scale for cloud computing as well as throwing that pesky chaos monkey into the servers. But they have become a hive of amazing Python activity. From their CDN, demand predictions and failover, security, machine learning, executable notebooks and lots more, the Python at play is super interesting. On this episode, we have Zoran Simic and Amjith Ramanujam on the show to give us this rare inside look.
Episode #420: Database Consistency & Isolation for Python Devs
Released June 26, 2023 (2 years ago)
When you use a SQL database like Postgres, you have to understand the subtleties of isolation levels from "read committed" to "serializable." And distributed databases like MongoDB offer a range of consistency levels, from "eventually consistent" to "linearizable" and many options in between. Plus, it's easy enough to confuse "isolation" with "consistency!" We have A. Jesse Jiryu Davis from MongoDB back on the podcast to break it all down for us.
Episode #419: Debugging Python in Production with PyStack
Released June 14, 2023 (2 years ago)
Here's the situation. You have a Python app that is locked or even has completely crashed and all you're left with is a core dump on the server. Now what? It's time for PyStack! You can capture a view of your app as if you've set a breakpoint and even view the callstack and locals across language calls (for example from Python to C++ and back). We have the maintainers, Pablo Galindo Salgado and Matt Wozniski, here to dive into PyStack. You'll definitely want to have this tool in your toolbox.
Episode #418: How To Keep A Secret in Python Apps
Released June 02, 2023 (2 years ago)
Think about the different APIs and databases your application works with. Every one of them requires either an API key or a database connection string that itself contains a password. How do you let your application access this sensitive information without storing it in source code or putting in other compromising locations? We have Glyph Lefkowitz on the show to share his security fable as well as just good advice for keeping secrets out of Python code.
Episode #417: Test-Driven Prompt Engineering for LLMs with Promptimize
Released May 30, 2023 (2 years ago)
Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with them for working on code or just as a fun alternative to search. But others of us are building applications with AI at the core. And when doing that, the slightly unpredictable nature and probabilistic nature of LLMs make writing and testing Python code very tricky. Enter promptimize from Maxime Beauchemin and Preset. It's a framework for non-deterministic testing of LLMs inside our applications. Let's dive inside the AIs with Max.
Episode #416: Open Source Sports Analytics with PySport
Released May 22, 2023 (2 years ago)
If you're looking for fun data sets for learning, for teaching, maybe a conference talk, or even if you're just really into them, sports offers up a continuous stream of rich data that many people can relate to. Yet, accessing that data can be tricky. Sometimes it's locked away in obscure file formats. Other times, the data exists but without a clear API to access it. On this episode, we talk about PySport - something of an awesome list of a wide range of libraries (mostly but not all Python) for accessing a wide variety of sports data from the NFL, NBA, F1, and more. We have Koen Vossen, maintainer of PySport to talk through some of the more popular projects.
Episode #415: Future of Pydantic and FastAPI
Released May 15, 2023 (2 years ago)
The release of Pydantic 2.0, its partial rewrite in Rust, and its refactoring into Pydantic core and top-level Pydantic in Python is big news. In fact, the alpha of Pydantic 2 was just released. Of course, these changes will have potentially wide ranging (and positive!) effects on libraries that are built upon Pydantic such as FastAPI, Beanie, and others. That's why this chance I had to catch up with Samuel Colvin from Pydantic and Sebastián Ramírez from FastAPI together, live from PyCon 2023. It's a super fun and wide ranging interview I'm sure you'll enjoy. Plus, there is a bit of an easter egg in the middle.
Episode #414: A Stroll Down Startup Lane
Released May 07, 2023 (2 years ago)
At PyCon 2023, there was a section of the expo floor dedicated to new Python-based companies called Startup Row. I wanted to bring their stories and the experience of talking with these new startups to you. So in this episode, we'll talk with founders from these companies for 5 to 10 minutes each.
Episode #411: Things I Wish Someone Had Explained To Me Sooner About Python
Released April 14, 2023 (2 years ago)
What advice would you give someone just getting into Python? What did you learn over time through hard work and a few tears that would have really helped you? It's a fun game to play and we have Jason McDonald on the podcast to give us his take. Enjoy!
Episode #410: The Intersection of Tabular Data and Generative AI
Released April 06, 2023 (2 years ago)
AI has taken the world by storm. It's gone from near zero to amazing in just a few years. We have ChatGPT, we have Stable Diffusion. But what about Jupyter Notebooks and pandas? In this episode, we meet Justin Waugh, the creator of Sketch. Sketch adds the ability to have conversational AI interactions about your pandas data frames (code and data). It's pretty powerful and I know you'll enjoy the conversation.
Episode #409: Privacy as Code with Fides
Released April 01, 2023 (2 years ago)
We all know that privacy regulations are getting more strict. And that many of our users no longer believe that "privacy is dead". But for even medium-sized organizations, actually tracking how we are using personal info in our myriad of applications and services is very tricky and error prone. On this episode, we have Thomas La Piana from the Fides project to discuss privacy in our applications and how Fides can enforce and track privacy requirements in your Python apps.
Episode #407: pytest tips and tricks for better testing
Released March 18, 2023 (2 years ago)
If you're like most people, the simplicity and easy of getting started is a big part of pytest's appeal. But beneath that simplicity, there is a lot of power and depth. We have Brian Okken on this episode to dive into his latest pytest tips and tricks for beginners and power users.
Episode #405: Testing in Radio Astronomy with Python and pytest
Released March 03, 2023 (2 years ago)
So you know about dependencies and testing, right? If you're talking to a DB in your app, you have to decide how to approach that with your tests. There are lots of solid options you might pick and they vary by goals. Do you mock out the DB layer for isolation or do you use a test DB to make it as real as possible? Do you just punt and use the real DB for expediency? What if your dependency was a huge array of radio telescopes and a rack of hundreds of bespoke servers? That's the challenge on deck today were we discuss testing radio astronomy with pytest with our guest James Smith. He's a Digital Signal Processing engineer at the South African Radio Astronomy Observatory and has some great stories and tips to share.
Episode #404: Clean Code in Python
Released February 20, 2023 (2 years ago)
Clean code is one of those aspects of your programming career that's easy to put on the back burner (sometimes by management more than yourself). But it's important in the short term for writing more debuggable and readable code. And important in the long run for avoiding having your program take on the dreaded "legacy code" moniker. We're fortunate to have Bob Belderbos back on the show. He's been thinking and writing about clean code and Python a lot lately and we'll dive into a bunch of tips you can use right away to make your code cleaner.
Episode #402: Polars: A Lightning-fast DataFrame for Python [updated audio]
Released February 08, 2023 (2 years ago)
When you think about processing tabular data in Python, what library comes to mind? Pandas, I'd guess. But there are other libraries out there and Polars is one of the more exciting new ones. It's built in Rust, embraces parallelism, and can be 10-20x faster than Pandas out of the box.

We have Polars' creator, Ritchie Vink here to give us a look at this exciting new data frame library.
Episode #401: Migrating 3.8 Million Lines of Python
Released February 02, 2023 (2 years ago)
At some point, you've probably migrated an app from one framework or major runtime version to another. For example, Django to Flask, Python 2 to Python 3, or even Angular to Vue.js. This can be a big challenge. If you had 100s of active devs and millions of lines of code, it's a huge challenge. We have Ben Bariteau from Yelp here to recount their story moving 3.8M lines of code from Python 2 to Python 3. But this is not just a 2-to-3 story. It has many lessons on how to migrate code in many situations. There are plenty of gems to take from his experience.
Episode #397: Evaluating New Open Source Tech Panel
Released January 05, 2023 (2 years ago)
The beauty of open source software and libraries is that you're not stuck with a single option some vendor is offering. This is especially true when that support is poor and antiquated. Almost any capability you think of has multiple options even for a single language such as Python. Just think about how many web frameworks you can pick today.
Episode #396: AI Goes on Trial For Writing Code (crossover)
Released December 30, 2022 (2 years ago)
For links and very detailed show notes, please view the original episode page over on Python Bytes. Thanks for listening!
Episode #395: Tools for README.md Creation and Maintenance
Released December 22, 2022 (2 years ago)
If you maintain projects on places like GitHub, you know that having a classy readme is important and that maintaining a change log can be helpful for you and consumers of the project. It can also be a pain. That's why I'm excited to welcome back Ned Batchelder to the show. He has a lot of tools to help here as well as some opinions we're looking forward to hearing. We cover his tools and a bunch of others he and I found along the way.
Episode #394: Awesome Jupyter Libraries and Extensions in 2022
Released December 15, 2022 (2 years ago)
Jupyter is an amazing environment for exploring data and generating executable reports with Python. But there are many external tools, extensions, and libraries to make it so much better and make you more productive. On this episode, we are going to cover a ton of them. We have Markus Schanta, the maintainer of the awesome-jupyter list on the show and we'll highlight a bunch of Jupyter gems.
Episode #393: Space Science with Python
Released December 08, 2022 (2 years ago)
Space science is one of the few sciences that can spark wonder and imagining in almost anyone. It also happens to be the domain of Python with many missions, telescopes, and analysis happening with Python playing a major role.
Episode #392: Data Science from the Command Line
Released December 02, 2022 (2 years ago)
When you think data science, Jupyter notebooks and associated tools probably come to mind. But I want to broaden your toolset a bit and encourage you to look around at other tools that are literally at your fingertips. The terminal and shell command line tools.

On this episode, you'll meed Jeroen Janssens. He wrote the book Data Science on The Command Line Book and there are a bunch of fun and useful small utilities that will make your life simpler that you can run immediately in the terminal. For example, you can query a CSV file with SQL right from the command line.
Episode #391: Pyscript powered by MicroPython
Released November 29, 2022 (2 years ago)
No Python announcement of 2022 was met with more fanfare than pyscript. This project, announced at PyCon 2022, allows you to write Python files and run them in your browser in place of JavaScript or even with interactions between Python and JavaScript. There was just one catch: The runtime download was a 9MB WebAssembly file. That made its uses quite limited.
Episode #390: Mastodon for Python Devs
Released November 15, 2022 (2 years ago)
Wondering what Mastodon is all about? More importantly, what does it offer Python developers and other open source folks compared to Twitter? There is a huge amount of interest in the tech community about what's happening at Twitter and whether they should expand to or even move to a new location. So I decided to put together a set of experienced Python developers who have been Mastodon inhabitants for a long time to discuss what this unexpected shift means for one of our important online watering holes.
Episode #389: 18 awesome asyncio packages in Python
Released November 09, 2022 (2 years ago)
If you're a fan of Python's async and await keywords and the powers they unlock, then this episode is for you. We have Timo Furrer here to share a whole bunch of asyncio related Python packages. Timo runs the awesome-asyncio list and he and I picked out some of our favorites to share with you.
Episode #388: Python 3.11 is here and it's fast
Released November 02, 2022 (2 years ago)
Python 3.11 is here! Keeping with the annual release cycle, the Python core devs have released the latest version of Python. And this one is a big one. It has more friendly error messages and is massively faster than 3.10 (between 10 to 60% faster) which is a big deal for a year over year release of a 30 year old platform.

On this episode, we have Irit Katriel, Pablo Galindo Salgado, Mark Shannon, and Brandt Bucher all of whom participated in releasing Python this week on the show to tell us about that process and some of the highlight features.
Episode #387: Build All the Things with Pants Build System
Released October 27, 2022 (2 years ago)
Do you have a large or growing Python code base? If you struggle to run builds, tests, linting, and other quality checks regularly or quickly, you'll want to hear what Benjy Weinberger has to say. He's here to introduce Pants Build to us. Pants is a fast, scalable, user-friendly build system for codebases of all sizes. It's currently focused on Python, Go, Java, Scala, Kotlin, Shell, and Docker.
Episode #386: Realtime Web Apps and Dashboards with H2O Wave
Released October 19, 2022 (3 years ago)
Python's data science and data visualization capabilities are certainly one of the reasons for Python's meteoric rise over the past 10 years. But often thens visuals have been corralled into notebooks used by data scientists themselves or into static web pages. Recently, a host of excellent dashboard build and hosting frameworks have come along to turn these visuals into interactive apps for everyone. On this episode, we'll talk about H20 Wave. One of these excellent dashboard frameworks. We have Martin Turoci from H2O.ai here to tell us about Wave.
Episode #385: Higher level Python asyncio with AnyIO
Released October 15, 2022 (3 years ago)
Do you love Python's async and await but feel that you could use more flexibility and higher-order constructs like running a group of tasks and child tasks as a single operation, or streaming data between tasks, combining async tasks with multiprocessing or threads, or even async file support? You should check out AnyIO. On this episode we have Alex Grönholm the creator of AnyIO here to give us the whole story.
Episode #384: Python Data Visualization - Where To Start?
Released October 04, 2022 (3 years ago)
Do you struggle to know where to start in the wide range of Python's visualization frameworks? Not sure when to use Plotly vs. Matplotlib vs. Altair? Then this episode is for you. We have Chris Moffitt, a Talk Python course author and founder of Practical Business Python, back on the show to discuss getting started with Python's data visualization frameworks.
Episode #383: Textinator and Building macOS Apps with Python
Released September 28, 2022 (3 years ago)
For all the amazing powers of Python, deploying packaged apps that leverage native OS-level capabilities isn't one of them. But it can be done and we have a great guest, Rhet Turnbull, here to tell us how he built his distributable macOS app Textinator that uses macOS's native vision recognition framework through Python.
Episode #382: Apache Superset: Modern Data Exploration Platform
Released September 22, 2022 (3 years ago)
When you think data exploration using Python, Jupyter notebooks likely come to mind. They are excellent for those of us who gravitate towards Python. But what about your everyday power user? Think of that person who is really good at Excel but has never written a line of code? They can still harness the power of modern Python using a cool application called Superset.
Episode #380: 7 lessons from building a modern TUI framework
Released September 05, 2022 (3 years ago)
Terminals seem like the very lowest common denominator for software platforms. They have to work over SSH. They only show text. You can't do much with them. Or can you? Will McGugan and team have been building Textual (based on Rich) which looks more like an animated web app than a terminal app. And he has learned a bunch of lessons trying to maximize terminal based apps. He's here to share his 7 lessons he's learned while building a modern TUI (text user interface) framework.
Episode #379: 17 Libraries You Should Be Using in Django
Released August 26, 2022 (3 years ago)
Do you write web apps in Django? The framework has come a long way lately with versions 3 and 4 adopting many of the modern Python capabilities (async, for example). But there are so many other libraries and apps that you can use to do more with less code in plugin new functionality. I'm happy to have Christopher Trudeau here on talk Python to take us through his 17 favorite libraries you should be using in Django.
Episode #378: Flet: Flutter apps in Python
Released August 21, 2022 (3 years ago)
Have you heard of Flutter? It's a modern and polished UI framework to write mobile apps, desktop apps, and even web apps. While interesting, you may have kept your distance because Flutter is a Dart language-based framework. But with the project we're covering today, Flet, many Flutter UIs can now be written in pure Python. Flet is a very exciting development in the GUI space for Python devs. And we have the creator, Feodor Fitsner, here to take us through it.
Episode #377: Python Packaging and PyPI in 2022
Released August 13, 2022 (3 years ago)
PyPI has been in the news for a bunch of reasons lately. Many of them good. But also, some with a bit of drama or mixed reactions. On this episode, we have Dustin Ingram, one of the PyPI maintainers and one of the directors of the PSF, here to discuss the whole 2FA story, securing the supply chain, and plenty more related topics. This is another important episode that people deeply committed to the Python space will want to hear.
Episode #376: Pydantic v2 - The Plan
Released August 04, 2022 (3 years ago)
Pydantic has become a core building block for many Python projects. After 5 years, it's time for a remake. With version 2, the plan is to rebuild the internals (with benchmarks already showing a 17x performance improvement) and clean up the API. Sounds great, but what does that mean for us? Samuel Colvin, the creator of Pydantic, is here to share his plan for Pydantic v2.
Episode #374: PSF Survey in Review
Released July 20, 2022 (3 years ago)
Every year, the PSF and JetBrains team up to do a Python community survey. The most recent one was Fall of 2021. For this episode, I've gathered a great group of Python enthusiasts to discuss the results. I think you'll really enjoy the group discussion on this episode.
Episode #373: Reinventing Azure's Python CLI
Released July 12, 2022 (3 years ago)
Deploying and managing your application after you create it can be a big challenge. Cloud platforms such as Azure have literally hundreds of services. Which ones should you choose? How do you link them together? In this episode, Anthony Shaw and Shayne Boyer share a new CLI tool and template they've created for jump starting you use of modern Python apps and deploying them to Azure. We're talking FastAPI, Beanie and MongoDB, async and await, Bicep DevOps, automated CI/CD pipelines and more. Plus we catch up on other Python work happening that Anthony is involved with. If you're interested in deploying or structuring modern Python apps, you'll find some interesting take aways from our conversation.
Episode #370: OpenBB: Python's Open-source Investment Platform
Released June 22, 2022 (3 years ago)
You may have heard of the Bloomberg terminal. It's expensive software that can monitor and analyze real-time financial market data and place trades on the electronic trading platform. But have you heard of OpenBB? It's similar software for real-time and long term analysis for finance and investing. The difference is it's open source and built entirely with Python and gives you access to analyze a massive amount of real-time and historical data using the full Python data science stack. On this episode, we have one of the cofounders, James Maslek here to give us a look inside this cool piece of Python-based software.
Episode #369: Getting Lazy with Python Imports and PEP 690
Released June 16, 2022 (3 years ago)
Python is undergoing a performance renaissance. We already have Python 3.11 20-40% faster than even Python 3.10. On this episode, we'll dive into a new proposal to make Python even more efficient using lazy imports laid out in PEP 690. We have all three folks involved on the episode: Carl Meyer, Germán Méndez Bravo, and Barry Warsaw. Are you ready to get into making Python faster still? Let's dive in.
Episode #368: End-to-End Web Testing with Playwright
Released June 03, 2022 (3 years ago)
How do you test whether your web sites are working well? Unit tests are great. But for web apps, the number of pieces that have to click together "just so" are many. You have databases, server code (such as a Flask app), server templates (Jinja for example), CSS, Javascript, and even deployment topologies (think nginx + uvicorn). Unit tests won't cover all of that integration. But Playwright does. Playwright is a modern, Pythonic take on testing webs apps using code driving a browser core to interact with web apps the way real users and API clients do. I think you'll find a lot to like there. And we have Pandy Knight from Automation Panda here to break it down for us.
Episode #366: Optimizing PostgreSQL DB Queries with pgMustard
Released May 20, 2022 (3 years ago)
Does your app have a database? Does that database play an important role in how the app operations and users perceive its quality? Most of you probably said yes to the first, and definitely to the second. But what if your DB isn't doing as well as it should? How would you know? And once you know, what do you do about it?

On this episode, we're joined by Michael Christofides, co-creator of pgMustard, to discuss and explore the EXPLAIN command for Postgres and other databases as well as all the recommendations you might dig into as a result of understanding exactly what's happening with you queries.
Episode #365: Solving Negative Engineering Problems with Prefect
Released May 12, 2022 (3 years ago)
How much time do you spend solving negative engineering problems? And can a framework solve them for you? Think of negative engineering as things you do to avoid bad outcomes in software. At the lowest level, this can be writing good error handling with try / except. But it's broader than that: logging, observability (like Sentry tools), retries, failover (as in what you might get from Kubernetes), and so on. We have a great chat with Chris White about Prefect, a tool for data engineers and data scientists meaning to solve many of these problems automatically. But it's a conversation applicable to a broader software development community as well.
Episode #364: Symbolic Math with Python using SymPy
Released May 07, 2022 (3 years ago)
We're all familiar with the data science tools like numpy, pandas, and others. These are numerical tools working with floating point numbers, often to represent real-world systems. But what if you exactly specify the equations, symbolically like many of us did back in Calculus and Differential Equations courses? With SymPy, you can do exactly that. Create equations, integrate, differentiate, and solve them. Then you can convert those solutions into Python (or even C++ and Fortran code). We're here with two of the core maintainer: Ondřej Čertík and Aaron Meurer to learn all about SymPy.
Episode #363: Python for .NET and C# developers
Released April 28, 2022 (3 years ago)
Are you coming to Python from another language and ecosystem? It can seem a bit daunting at first. But Python is very welcoming and has a massive array of tools and libraries. In this episode, I speak to my friend Cecil Philip who does both Python and .NET development. We discuss what it's like coming to Python from .NET as well as a whole bunch of compare and contrasts across the two ecosystems.
Episode #362: Hypermodern Python Projects
Released April 20, 2022 (3 years ago)
What would a modern Python project look like? Maybe it would use Poetry rather than pip directly for its package management. Perhaps its test automation would be controlled with Nox. You might automate its release notes with Release Drafter. The list goes on and on. And that list is the topic of this episode. Join me and Claudio Jolowicz as we discuss his Hypermodern Python project and template.
Episode #361: Pangeo Data Ecosystem
Released April 16, 2022 (3 years ago)
Python's place in climate research is an important one. In this episode, you'll meet Joe Hamman and Ryan Abernathey, two researchers using powerful cloud computing systems and Python to understand how the world around us is changing. They are both involved in the Pangeo project which brings a great set of tools for scaling complex compute with Python.
Episode #358: Understanding Pandas visually with PandasTutor
Released March 25, 2022 (3 years ago)
Pandas is a great library that allows you to accomplish a ton of filtering and processing in condensed syntax. But how well do you understand what's happening? Sam Lau and Philip Guo built a great site to help use visually explore how Pandas is processing your dataset with your specific syntax. It's called PandasTutor, and Sam is here to tell us about it.
Episode #357: Python and the James Webb Space Telescope
Released March 21, 2022 (3 years ago)
Telescopes have been fundamental in our understanding of our place in the universe. And when you think about images that have shaped our modern view of space, you probably think about Hubble. But just this year, the JWST or James Web Space Telescope, was launch. JWST will go far beyond what Hubble has discovered. And did you know Python is used extensively in the whole data pipeline of JWST? We have two great guests here to tell us about it: Megan Sosey and Mike Swam.
Episode #356: Tips for ML / AI startups
Released March 14, 2022 (3 years ago)
Have you been considering launching a product or even a business based on Python's AI / ML stack? We have a great guest on the episode this week, Dylan Fox, who is the cofounder of AssemblyAI and has been building his startup successfully over the past few years. He has interesting stories of 100s of GPUs in the cloud, evolving ML models, and much more that I know you'll enjoy hearing.
Episode #355: EdgeDB - Building a database in Python
Released March 06, 2022 (3 years ago)
What database are you using in your apps these days? If you like most Python people, it's probably PostgreSQL. If you roll with NoSQL like me, you're probably using MongoDB. Maybe you're even using a graph database focused more on relationships.

But there's a new Python database in town, and as you learn in during this episode, many critical Python libraries have come into existence because of it. This database is called EdgeDB. EdgeDB is built upon Postgres, implemented mostly in python, and is something of a marriage of a traditional relational database and an ORM.
Episode #354: Sphinx, MyST, and Python Docs in 2022
Released February 24, 2022 (3 years ago)
When you think about the power of Python, the clean language or powerful standard library may come to mind. You might certainly point to the external packages too. But what about the relative ease of picking up new libraries or even parts of the standard library? Documentation plays an important role there. And the tools in the Python space for building solid documentation and even publishing articles and books involving live code are huge assets.
Episode #353: SQLModel: The New ORM for FastAPI and Beyond
Released February 18, 2022 (3 years ago)
Two frameworks that have taken the Python world by storm are FastAPI and Pydantic. Once you already have your data exchange modeled in Pydantic, you might want to use that code for storing it in the database. And, if you have DB models you might want to somehow use them to power and document the APIs built with FastAPI.

But the popular ORMs, such as SQLAlchemy and others, far predate Pydantic. But could they be put together?
Episode #352: Running Python in Production
Released February 08, 2022 (3 years ago)
Do we talk about running Python in production enough? I can tell you that the Talk Python infrastructure (courses, podcasts, APIs, etc.) get a fair amount of traffic, but they look nothing like what Google, or Instagram, or insert [BIG TECH NAME] here's deployments do. Yet, mostly, we hear about interesting feats of engineering at massive scale that is impressive but often is also outside of the world most Python devs need for their companies and services.
Episode #350: Python Steering Council 2021 Retrospective
Released January 26, 2022 (3 years ago)
For 30 years, Python was overseen by Guido van Rossum since he created and released it around in 1990. When he retired in 2018 he left the creation of the new governing body up to the core developers. After a few stressful months, they concept of the steering council became the way forward.
Episode #349: Meet Beanie: A MongoDB ODM + Pydantic
Released January 22, 2022 (3 years ago)
This podcast episode you're listening to right now was delivered to you, in part, by MongoDB and Python powering our web apps and production processes. But if you're using pymongo, the native driver from MongoDB to talk to the server, you're doing it wrong. Basing your app on a foundation of exchanging raw dictionaries is a castle of sand. BTW, see the joke at the end of the show about this.
Episode #348: Dear PyGui: Simple yet Fast Python GUI Apps
Released January 17, 2022 (3 years ago)
I'm always on the look out for a good Python UI framework. This episode focuses on Dear PyGui.

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies, created by Jonathan Hoffstadt and Preston Cothren. They are here to tell us all about it.
Episode #347: Cinder - Specialized Python that Flies
Released January 08, 2022 (3 years ago)
The team at Instagram dropped a performance bomb on the Python world when they open-sourced Cider, their performance oriented fork of CPython. It contains a number of performance optimizations, including bytecode inline caching, eager evaluation of coroutines, a method-at-a-time JIT, and an experimental bytecode compiler that uses type annotations to emit type-specialized bytecode that performs better in the JIT.
Episode #346: 20 Recommended Packages in Review
Released December 21, 2021 (3 years ago)
Do you enjoy the "final 2 questions" I always ask at the end of the show? I think it's a great way to track the currents of the Python community. This episode focuses in on one of those questions: "What notable PyPI package have you come across recently? Not necessarily the most popular one but something that delighted you and people should know about?"
Episode #345: 10 Tips and Tools for Developer Productivity
Released December 15, 2021 (3 years ago)
You know that feeling when one of your developer friends or colleague tells you about some amazing tool, library, or shell environment that you never heard of that you just have to run out and try right away? This episode is jam-packed full of those moments. We welcome back Jay Miller to discuss tools and tips for developer productivity. The title says 10 tips, but we actually veer into many more along the way. I think you'll really enjoy this useful and light-hearted episode.
Episode #344: SQLAlchemy 2.0
Released December 09, 2021 (3 years ago)
SQLAlchemy is the most widely used ORM (Object Relational Mapper) for Python developers. It's been around since February 2006. But we might be in for the most significant release since the first one: SQLAlchemy 2.0. This version adds async and await support, new context-manager friendly features everywhere, and even a unified query syntax. Mike Bayer is back to give us a glimpse of what's coming and why Python's database story is getting stronger.
Episode #343: Do Excel things, get notebook Python code with Mito
Released November 30, 2021 (3 years ago)
Here's a question: What's the most common way to explore data? Would you say pandas and matplotlib? Maybe you went more general and said Jupyter notebooks. How about Excel, or Google Sheets, or Numbers, or some other spreadsheet app? Yeah, my bet is on Excel. And while it has many drawbacks, it makes exploring tabular data very accessible to many people, most of whom aren't even developers or data scientists.

On this episode, we're talking about a tool called Mito. This is an add-in for Jupyter notebooks that injects an Excel-like interface into the notebook. You pass it data via a pandas dataframe (or some other source) and then you can explore it as if you're using Excel. The cool thing is though, just below that, it's writing the pandas code you'd need to do to actually accomplish that outcome in code.
Episode #342: Python in Architecture (as in actual buildings)
Released November 23, 2021 (3 years ago)
At PyCon 2017, Jake Vanderplas gave a great keynote where he said, "Python is a mosaic." He described how Python is stronger and growing because it's being adopted and used by people with diverse technical backgrounds. In this episode, we're adding to that mosaic by diving into how Python is being used in the architecture, engineering, and construction industry. Our guest, Gui Talarico, has worked as an architect who help automate that world by bringing Python to solve problems others were just doing by point-and-click tooling. I think you'll enjoy this look into that world. We also touch on his project pyairtable near the end as well.
Episode #341: 25 Pandas Functions You Didn’t Know Existed
Released November 17, 2021 (3 years ago)
Do you do anything with Jupyter notebooks? If you do, there is a very good chance you're working with the pandas library. This is one of THE primary tools of anyone doing computational work or data exploration with Python. Yet, this library is massive and knowing the idiomatic way to use it can be hard to discover.
Episode #340: Time to JIT your Python with Pyjion?
Released November 10, 2021 (3 years ago)
Is Python slow? We touched on that question with Guido and Mark last episode. This time we welcome back friend of the show, Anthony Shaw. Here's there to share the massive amount of work he's been doing to answer that question and speed things up where they answer is yes. He's just released version 1.0 of the Pyjion project.
Episode #337: Kedro for Maintainable Data Science
Released October 09, 2021 (4 years ago)
Have you heard of Kedro? It's a Python framework for creating reproducible, maintainable and modular data science code.

We all know that reproducibility and related topics are important ones in the data science space. The freedom to pop open a notebook and just start exploring is much of the magic.

Yet, that free-form style can lead to difficulties in versioning, reproducibility, collaboration, and moving to production. Solving these problems is the goal of Kedro. And we have 3 great guests from the Kedro community here to give us the rundown: Yetunde Dada, Waylon Walker, and Ivan Danov.
Episode #336: Terminal magic with Rich and Textual
Released October 05, 2021 (4 years ago)
Have you heard of the package Rich? This library allows you to create very, well, rich terminal-based UIs in Python. When you think of what you can typically build with basic print statements, that may seem quite limited. But with Rich, imagine justified tables, progress bars, rendering of markdown, and way more.

This is one of the fastest growing projects in the Python space these days. And the creator, Will McGugan is here to give is the whole history and even a peak at the future of Rich and a follow on library called Textual.
Episode #335: Gene Editing with Python
Released September 24, 2021 (4 years ago)
Gene therapy holds the promise to permanently cure diseases that have been considered life-long challenges. But the complexity of rewriting DNA is truly huge and lives in its own special kind of big-data world.

On this episode, you'll meet David Born, a computational biologist who uses Python to help automate genetics research and helps move that work to production.
Episode #334: Microsoft Planetary Computer
Released September 18, 2021 (4 years ago)
On this episode, Rob Emanuele and Tom Augspurger join us to talk about building and running Microsoft's Planetary Computer project. This project is dedicated to providing the data around climate records and the compute necessary to process it with the mission of help use all understand climate change better. It combines multiple petabytes of data with a powerful hosted Jupyterlab notebook environment to process it.
Episode #333: State of Data Science in 2021
Released September 10, 2021 (4 years ago)
We know that Python and data science are growing in lock-step together. But exactly what's happening in the data science space in 2021? Stan Seibert from Anaconda is here to give us a report on what they found with their latest "State of Data Science in 2021" survey.
Episode #332: Robust Python
Released August 31, 2021 (4 years ago)
Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Patrick Viafore is here to help us write more maintainable, longer-lived, and more enjoyable Python code.
Episode #330: Apache Airflow Open-Source Workflow with Python
Released August 20, 2021 (4 years ago)
If you are working with data pipelines, you definitely need to give Apache Airflow a look. This pure-Python workflow framework is one of the most popular and capable out there. You create your workflows by writing Python code using clever language operators and then you can monitor them and even debug them visually once they get started.

Stop writing manual code or cron-job based code to create data pipelines check out Airflow. We're joined by three excellent guests from the Airflow community: Jarek Potiuk, Kaxil Naik, and Leah Cole.
Episode #328: Piccolo: A fast, async ORM for Python (updated)
Released August 08, 2021 (4 years ago)
ORMs are one of the main tools to put first-class data access in the hands on non-SQL-loving developers and even for those who do love SQL, making them way more productive. When you hear about ORMs in Python, we often hear about either SQLAlchemy and Django ORM. And we should, they are great. But there are newer ORMs that take better advantage of modern Python.
Episode #327: Little Automation Tools in Python
Released July 30, 2021 (4 years ago)
You've heard me talk to wide cast of people building amazing things with Python. Some of them are building bio-reactors to remove carbon from the air with AI and Python. Others are optimizing aerodynamics and race strategy at the highest levels of automobile racing.

This episode is different. Rather than seeing how far we can push Python to the edges of technology, we are diving in to the tiny Python applications that might never be released publicly and yet can transform our day to day lives with simple automation on an individual level.
Episode #326: Building Desktop Apps with wxPython
Released July 23, 2021 (4 years ago)
Did you know I'm a fan of GUIs. You know, they are kind of like web pages, but they run on your computer, they have their own windows, and you can even use them offline! On this episode, we'll dive into wxPython with Mike Driscoll. He's back on the podcast to share his hard-won experience on building and distributing Python Window-based applications.
Episode #324: Gatorade-powered Python APIs
Released July 09, 2021 (4 years ago)
Python is used to solve a large and varied set of problems. One of its core pillars is web APIs. Another one is ML and data science. Those two important pieces were brought together in an unexpected yet magically-futuristic way by Rod Senra's team working with the Gatorade Sports Science Institute.
Episode #323: Best practices for Docker in production
Released July 03, 2021 (4 years ago)
You've got your Python API or app running in a Docker container. Great! Are you ready to ship it to that hosted cluster service and head off to production? Not so fast. Have you considered how you'll manage evolving dependencies and addressing security updates over time? Not just for the base OS but for installed packages? How about your pip installed dependencies? Are you running as root? If you don't know, the answer is yes.
Episode #321: HTMX - Clean, Dynamic HTML Pages
Released June 19, 2021 (4 years ago)
Have you wanted to add more interactivity and liveness to your web application? If you built it using Flask, Django, or some other Python web framework, that thought probably didn't fill you with joy. Because it might mean that you need to change a bunch of code and rewrite a significant bit of your app using a full-on front-end framework like Vue.js or React.js.
Episode #320: Python in the Electrical Energy Sector
Released June 12, 2021 (4 years ago)
In this episode, we cover how Python is being used to understand the electrical markets and grid in Australia. Our guest, Jack Simpson, has used Python to uncover a bunch of interesting developments as the country has adopted more and more solar energy. We round out the episode looking at some best practices for high-performance, large-data processing in Pandas and beyond.
Episode #319: Typosquatting and Supply Chains Vulnerabilities
Released June 06, 2021 (4 years ago)
One of the true superpowers of Python is the libraries over at the Python Package Index. They are all just a "pip install" away. Yet, like all code that you run on your system, it is done with some degree of trust. How do we know that all of those useful packages are trustworthy?

That's the topic of this episode. Bentz Tozer and John Speed Meyers are here to share their research into typosquatting on PyPI and other sneaky deeds. But we also discuss some potential solutions and fixes.
Episode #318: Measuring your ML impact with CodeCarbon
Released May 28, 2021 (4 years ago)
Machine learning has made huge advancements in the past couple of years. We now have ML models helping doctors catch disease early. Google is using ML to suggest traffic routes in their maps app that will lesson the amount of gasoline used in the trip. And many more examples. But there is a heavy cost for training machine learning models.
Episode #317: Python at the US Federal Election Commission
Released May 21, 2021 (4 years ago)
When you think of government software development and projects, do you fast apps and modern tech stacks jump to mind? Probably not. So you'll be delighted to hear from our guest, Laura Beaufort. She's the Tech Lead at the US Federal Election Commission.
Episode #316: Flask 2.0
Released May 14, 2021 (4 years ago)
Flask is one of the most popular Python web frameworks. And they have huge news to share with us. Flask 2.0 just released after a ton of work. And it's as big of a deal as the version number suggests. Async changes are coming, Python 3.5 and below (including Python 2) support has been dropped and much much more. Join me as I discuss Flask 2.0 with David Lord and Philip Jones.
Episode #315: Awesome FastAPI extensions and add ons
Released May 07, 2021 (4 years ago)
Have you heard that FastAPI is awesome? We have Michael Herman back on the show to help us make it even more awesome with his FastAPI awesome list. He's categorized many extensions and other libraries working with FastAPI to help you be even more efficient with this framework.
Episode #314: Ask us about modern Python projects and tools
Released April 30, 2021 (4 years ago)
Here's an episode that I did not see coming! Sebastian Witowski and I put together a live stream ask me anything (AMA) as a follow up to some of the ideas around his recent course, Modern Python Projects. We dove deep in comparisons of Poetry vs. pip vs pyenv and answered questions like do you need to use Docker? When should you? and so on.
Episode #313: Automate your data exchange with Pydantic
Released April 22, 2021 (4 years ago)
Data validation and conversion is one of the truly tricky part of getting external data into your app. This might come from a REST API, a file on disk, or somewhere else. This includes checking for required fields, correct data types, converting from compatible types (for example, strings to numbers), and much more. Pydantic is one of the best ways to do this in modern Python using dataclass-like constructs and type annotations to make it all seamless and automatic.
Episode #312: Python Apps that Scale to Billions of Users
Released April 18, 2021 (4 years ago)
How do you build Python applications that can handling literally billions of requests. I has certainly been done to great success with places like YouTube (handling 1M requests / sec) and Instagram as well as internal pricing APIs at places like PayPal and other banks.
Episode #311: Get inside the .git folder
Released April 08, 2021 (4 years ago)
These days Git is synonymous with source control itself. Rare are the current debates of whether to use git vs SVN vs some fossil like SourceSafe vs you name it. But do you know how Git works? What about it's internals? I'm sure you've seen a .git folder in your project's root. But to most folks, it's a black box.
Episode #310: AMA (Ask Me Anything) with Michael
Released April 02, 2021 (4 years ago)
The tables have turned and this time I'm the guest and you all are the hosts. I get a ton of questions over email and twitter asking me about my thoughts on various trends, tools, and behind the scenes questions around Talk Python. So I've enlisted two listeners who are up for hosting a conversation and taking questions from you all.
Episode #309: What ML Can Teach Us About Life: 7 Lessons
Released March 26, 2021 (4 years ago)
Machine learning and data science are full of best practices and important workflows. Can we extrapolate these to our broader lives? Eugene Yan and I give it a shot on this slightly more philosophical episode of Talk Python To Me.
Episode #308: Docker for Python Developers (2021 Edition)
Released March 20, 2021 (4 years ago)
Docker is one of the core elements of developing Python applications in consistent ways as well as running them across different hardware universally. On this episode, you'll meet Peter McKee from Docker. He's here to catch us up on what's happening in the Docker universe for Python developers.
Episode #307: Python from 1994 to 2021, my how you've grown!
Released March 11, 2021 (4 years ago)
Python has changed a lot since its inception 30 years ago. On this episode, you'll meet Paul Everitt and Barry Warsaw. They have both been involved with Python since the very first Python conference (called SPAM1 even). We discuss how it's changed but also how so many of the pressures and ideas from the very early days are still playing out in 2021. I'm sure you'll enjoy all the stories and reminiscing.
Episode #305: Python community at Python Discord
Released March 01, 2021 (4 years ago)
People often ask me how they can find a Python community to be part of. Maybe discussion forum or slack channel. This week, we look at one of the most active communities in Python Discord. It's Python, on a discord server. But it's more than that too.
Episode #304: asyncio all the things with Omnilib
Released February 21, 2021 (4 years ago)
The relatively recent introduction of async and await as keywords in Python have spawned a whole area of high performance, highly scalable frameworks and supporting libraries. One such library that has great async building blocks is Omnilib.
Episode #303: Python for Astronomy with Dr. Becky
Released February 12, 2021 (4 years ago)
If you are involved in science or use computational tools in your work, you should be using code to solve your problem. On this episode, we have Dr. Becky Smethurst who's an astrophysicist at Oxford University. She uses Python to explore galaxies and black holes.
Episode #302: The Data Engineering Landscape in 2021
Released February 04, 2021 (4 years ago)
I'm sure you're familiar with data science. But what about data engineering? Are these the same or how are they related?
Episode #301: Deploying and running Django web apps in 2021
Released January 28, 2021 (4 years ago)
Have you been learning Django and now want to get your site online? Not sure the best way to host it or the trade offs between the various options? Maybe you want to make sure your Django site is secure. On this episode, I'm joined by two Django experts Will Vincent and Carlton Gibson to talk about deploying and running Django in production along with recent updates in Django 3.2 and beyond.
Episode #299: Personal search engine with datasette and dogsheep
Released January 17, 2021 (4 years ago)
In this episode, we'll be discussing two powerful tools for data reporting and exploration: Datasette and Dogsheep.

Datasette helps people take data of any shape or size, analyze and explore it, and publish it as an interactive website and accompanying API.

Dogsheep is a collection of tools for personal analytics using SQLite and Datasette. Imagine a unified search engine for everything personal in your life such as twitter, photos, google docs, todoist, goodreads, and more, all in once place and outside of cloud companies.

On this episode we talk with Simon Willison who created both of these projects. He's also one of the co-creators of Django and we'll discuss some early Django history!
Episode #298: Building ML teams and finding ML jobs
Released January 11, 2021 (4 years ago)
Are you building or running an internal machine learning team? How about looking for a new ML position? On this episode, I talk with Chip Huyen from Snorkel AI about building ML teams, finding ML positions, and teach ML at Stanford.
Episode #297: Python year in review (2020 edition)
Released December 28, 2020 (4 years ago)
2020 will be one for the history books, won't it? I've put together a great group to look back on 2020 - from the Python perspective.
Episode #296: Python in F1 racing
Released December 23, 2020 (4 years ago)
Quick: Name the 3 most advanced engineering organizations you can think of? Maybe an aerospace company such as SpaceX or Boeing come to mind. Maybe you thought of CERN and the LHC. But in terms of bespoke engineering capabilities, you should certainly put the F1 racing teams on your list.
Episode #295: GIS + Python
Released December 18, 2020 (4 years ago)
Geography is the study of places and the relationships between people and their environments. Often we think of maps, but maps are static. GIS gets interesting when you realize that we're studying and visualizing data flowing through these locations and communities.
Episode #294: oso authorizes Python
Released December 07, 2020 (4 years ago)
When we think about accounts and security, we often think about identity (logging in and proving who you are). But for many applications, especially internal apps at large organizations, that's just step one. The next step is what can you do and what can you not do.
Episode #292: Pythonic identity (auth in Python ecosystem)
Released November 26, 2020 (4 years ago)
So you're excited about that next app you're about to build. You can visualize the APIs with the smooth scalability taking to the mobile apps. You can see how, finally, this time, you'll get deployment right and it'll be pure continuous delivery out of GitHub with zero downtime.
Episode #291: Operational Resilience with Pyomo
Released November 22, 2020 (4 years ago)
Do you have a scientific system that needs optimization or solving? Our guest, on this episode, Clark Petri is here to tell us all about pyomo. This is a library that can solve all sorts of cool problems, linear programming, nonlinear equations, and many other things you can throw at it.
Episode #289: Discovering exoplanets with Python
Released November 09, 2020 (4 years ago)
When I saw the headline "Machine learning algorithm confirms 50 new exoplanets in historic first" I knew the Python angle of this story had to be told! And that's how this episode was born. Join David Armstrong and Jev Gamper as they tell us how they use Python and machine learning to discover not 1, but 50 new exoplanets in pre-existing Keplar satellite data.
Episode #287: Testing without dependencies, mocking in Python
Released October 21, 2020 (5 years ago)
We know our unit tests should be relatively independent from other parts of the system. For example, running a test shouldn't generally call a credit card possessing API and talk to a database when your goal is just to test the argument validation.
Episode #286: Python and ML at NASA Jet Propulsion Laboratory (JPL)
Released October 16, 2020 (5 years ago)
NASA's Jet Propulsion Laboratory (JPL)'s primary function is the construction and operation of planetary robotic spacecraft, though it also conducts Earth-orbit and astronomy missions. It is also responsible for operating NASA's Deep Space Network.
Episode #285: Dask as a Platform Service with Coiled
Released October 09, 2020 (5 years ago)
If you're into data science, you've probably heard about Dask. It's a package that feels like familiar APIs such as Numpy, Pandas, and Scikit-Learn. Yet it can scale that computation across CPU cores on your local machine all the way to distributed grid-based computing in large clusters.
Episode #284: Modern and fast APIs with FastAPI
Released October 04, 2020 (5 years ago)
As Python 3 has eclipsed the old constrains of Python 2 and web frameworks that adopted them, we have seen a big jump in new frameworks appearing on the scene taking full advantage of things like type hints, async and await, and more.
Episode #283: Web scraping, the 2020 edition
Released September 23, 2020 (5 years ago)
Web scraping is pulling the HTML of a website down and parsing useful data out of it. The use-cases for this type of functionality are endless. Have a bunch of data on governmental sites that are only listed online in HTML without a download? There's an API for that! Do you want to keep abreast of what your competitors are featuring on their site? There's an API for that. Need alerts for changes on a website, for example enrollment is now open at your college and you want to be first to get in and avoid the 8am Monday morning course slot? There's an API for that.
Episode #281: Python in Car Racing
Released September 09, 2020 (5 years ago)
I love to bring you stories of Python being used in amazing places outside the traditional tech silos of pure web development and data science.

On this episode, you'll meet Robert "Kane" Replogle, who works on the simulation and test software at Richard Childress Racing. The NASCAR team that just finished #1 and 2 in at the Texas Motor Speedway.
Episode #277: 10 tips every Django developer should know
Released August 10, 2020 (5 years ago)
We recently covered 10 tips that every Flask developer should know. But we left out a pretty big group in the Python web space: Django developers! And this one is for you. I invited Bob Belderbos, who's been running his SaaS business on Python and Django for several years now, to share his tips and tricks.
Episode #276: Geekout: Life in the solar system and beyond
Released August 06, 2020 (5 years ago)
We're back with another GeekOut episode. Richard Campbell, a developer and podcaster who also dives deep into science and tech topics, is back for our second GeekOut episode. Last time we geeked out about the real science and progress around a moon base. This time it's why is there life on Earth, where could it be or have been in the solar system, and beyond.
Episode #275: Beautiful Pythonic Refactorings
Released August 01, 2020 (5 years ago)
Do you obsess about writing your code just the right way before you get started? Maybe you have some ugly code on your hands and you need to make it better. Either way, refactoring could be your ticket to happier days! On this episode, we'll talk through a powerful example of iteratively refactoring some code until we eventually turn our ugly duckling into a Pythonic beauty.
Episode #273: CoCalc: A fully colloborative notebook development environment
Released July 18, 2020 (5 years ago)
Everyone in the Python space is familiar with Notebooks these days. One of the original notebook environments was SageMath. Created by William Stein, and collaborators, it began as an open-source, Python-based, computational environment focused on mathematicians.
Episode #272: No IoT things in hand? Simulate them with Device Simulator Express
Released July 12, 2020 (5 years ago)
Python is one of the primary languages for IoT devices. With runtimes such as CircuitPython and MicroPython, they are ideal for the really small IoT chips.

Maybe you've heard of the Circuit Playground Express, BBC micro:bit, or the fancy Adafruit CLUE. They aren't too expensive (ranging from $25 to $50 each). But for large groups such as classrooms, this can be a lot of money. Moreover, getting your hands on these devices can sometimes be tricky as well.
Episode #271: Unlock the mysteries of time, Python's datetime that is!
Released July 04, 2020 (5 years ago)
Time is a simple thing, right? And working with it in Python is great. You just import datetime and then (somewhat oddly) use the datetime class from that module.
Episode #270: Python in supply chains: oil rigs, rockets, and lettuce
Released June 25, 2020 (5 years ago)
On this episode, we are going to weave a thread through three different areas of Python programming that at first seem unlikely to have much in common. Yet, the core will be the same throughout. I think this is a cool lesson to learn as you get deeper into programming and a great story to highlight it.
Episode #268: Analyzing dozens of notebook environments
Released June 13, 2020 (5 years ago)
Are you using interactive notebooks for your data exploration or day-to-day programming? What environment do you use? Was it Jupyter and now you've made the move to JupyterLab? That's a great choice. But did you know there are more environments out there to choose from and compare? Have you heard of Callisto or Iodide? How about CoCalc or PolyNote? That's just the tip of the iceberg!
Episode #267: 15 amazing pytest plugins
Released June 06, 2020 (5 years ago)
Do you write tests for your code? You probably should. And most of the time, pytest is the industry standard these days. But pytest can be much more than what you get from just installing it as a tool.
Episode #266: Refactoring your code, like magic with Sourcery
Released May 29, 2020 (5 years ago)
Refactoring your code is a fundamental step on the path to professional and maintainable software. We rarely have the perfect picture of what we need to build when we start writing code and attempts to over plan and overdesign software often lead to analysis paralysis rather than ideal outcomes.
Episode #265: Why is Python slow?
Released May 19, 2020 (5 years ago)
The debate about whether Python is fast or slow is never-ending. It depends on what you're optimizing for: Server CPU consumption? Developer time? Maintainability? There are many factors. But if we keep our eye on pure computational speed in the Python layer, then yes, Python is slow.
Episode #264: 10 tips every Flask developer should know
Released May 12, 2020 (5 years ago)
Are you a web developer who uses Flask? It has become the most popular Python web framework. Even if you have used it for years, I bet we cover at least one thing that will surprise you and make your Flask code better.
Episode #263: SEO for developers
Released May 06, 2020 (5 years ago)
As developers and technologists, it's easy to think that powerful and unique ideas will percolate to the top. If we build something amazing, enthusiastic users will find and share our creations.
Episode #262: Build a career in data science
Released May 01, 2020 (5 years ago)
Has anyone told you that you should get into data science? Have you heard it's a great career? In fact, data scientist is the best job in America according to Glassdoor's 2018 rankings.
Episode #259: From Academia to Tech Industry and Python
Released April 09, 2020 (5 years ago)
Did you come to Python from the academic side of the world? Maybe got into working with code for research or lab work and found you liked coding more than your first field of study. Whatever the reason, many people make the transition from the academic world over to tech and industry.
Episode #256: Click to run your notebook with Binder
Released March 20, 2020 (5 years ago)
Have you come across a GitHub repo with a Jupyter notebook that has a "Run in Binder" button? It seems magical. How does it know what dependencies and external libraries you might need? Where does it run anyway?
Episode #254: A Python mentorship story
Released March 06, 2020 (5 years ago)
How do you go from poking around at Python code to actually solving real problems, the right way?
Episode #248: Climate change and your Python code
Released January 24, 2020 (5 years ago)
The most critical issue of our time is climate change. Yet, when you think about our carbon impact in the software industry, what comes to mind? Business travel? Commuting to the office so you don't miss filing that TPS report? Yeah, those are bad. But data centers, servers, and our apps consume a substantial portion of the total energy used by modern humans.
Episode #247: Solo maintainer of open-source in academia
Released January 16, 2020 (5 years ago)
Do you run an open-source project? Does it seem like you never have enough time to support it? Have you considered starting one but are unsure you can commit to it? It's a real challenge.
Episode #246: Practices of the Python Pro
Released January 09, 2020 (5 years ago)
When you can call yourself a professional developer? Sure, getting paid to write code is probably part of the formula. But when is your skillset up to that level?
Episode #244: Top 10 Real Python Articles of 2019
Released December 27, 2019 (5 years ago)
We've come to the end of 2019. Python 2 has just a handful of days before it goes unsupported. And I've met up with Dan Bader from RealPython.com to look back at the year of Python articles on his website. We dive into the details behind 10 of his most important articles from the past year.
Episode #243: Python on Windows is OK, actually
Released December 17, 2019 (5 years ago)
We all love the Python language. But it's the 200,000+ packages that actually make Python incredibly useful and productive. But installing these libraries and sometimes even Python itself can vary across platforms. In particular, Windows has had a hard time.
Episode #242: Your education will be live-streamed
Released December 11, 2019 (5 years ago)
Online education has certainly gone mainstream. Developers and companies have finally gotten comfortable taking online courses. Sometimes these are recorded, self-paced courses like we have at Talk Python Training. Other times, they are more like live events in webcast format.
Episode #241: Opal: Full stack health care apps
Released December 07, 2019 (5 years ago)
Open source has permeated much of the software industry. What about health care? This highly regulated and important industry might seem to be the domain of huge specialized software companies.
Episode #239: Bayesian foundations
Released November 23, 2019 (5 years ago)
In this episode, we'll dive into one of the foundations of modern data science, Bayesian algorithms, and thinking. Join me along with guest Max Sklar as we look at the algorithmic side of data science.
Episode #237: A gut feeling about Python
Released November 06, 2019 (5 years ago)
Let's start with a philosophical question: Are you human? Are you sure? We could begin to answer the question physically. Are you made up of cells that would typically be considered as belonging to the human body?
Episode #236: Scaling data science across Python and R
Released October 29, 2019 (5 years ago)
Do you do data science? Imagine you work with over 200 data scientists. Many of whom have diverse backgrounds or have come from non-CS backgrounds. Some of them want to use Python. Others are keen to work with R.
Episode #235: Python in your Browser with Skulpt
Released October 23, 2019 (6 years ago)
Do you dream of a day when you can write Python in the browser rather than JavaScript? This is no pipe dream! There are several ways to write Python that runs in the browser already.
Episode #234: Awesome Python Applications
Released October 15, 2019 (6 years ago)
Have you heard of awesome lists? They are well, pretty awesome! Gathering up the most loved libraries and packages for a given topic.
Episode #233: The Masonite Python Web Framework
Released October 10, 2019 (6 years ago)
Folks, it's not like the old days where there were just a couple of web frameworks for building apps with Python. These days there are many. One of those frameworks is the Masonite web framework created by Joseph Mancuso. Joseph is here today to tell us all about Masonite, what makes it special, it's core value proposition for web developers and much more.
Episode #232: Become a robot developer with Python
Released October 04, 2019 (6 years ago)
When you think about the types of jobs you get as a Python developer, you probably weight the differences between data science and web development.
Episode #231: Advice for freelancing with Python
Released September 25, 2019 (6 years ago)
Have you ever wanted to get into consulting? Maybe you're seeking the freedom to work on whatever project you'd like or gain more control of your time.
Episode #230: Python in digital humanities research
Released September 18, 2019 (6 years ago)
You've often heard me talk about Python as a superpower. It can amplify whatever you're interested in or what you have specialized in for your career.

This episode is an amazing example of this. You'll meet Cornelis van Lit. He is a scholar of medieval Islamic philosophy and woks at Utrecht University in the Netherlands. What he is doing with Python is pretty amazing.
Episode #229: Building advanced Pythonic interviews with docassemble
Released September 12, 2019 (6 years ago)
On this episode, we dive into Python for lawyers and a special tool for conducting legal interviews. Imagine you have to collect details for 20,000 participants in a class-action lawsuit. docassemble, a sweet Python web app, can do it for you with easy.
Episode #228: Hunting bugs and tech startups with Python
Released September 04, 2019 (6 years ago)
What's it's like building a startup with Python and going through a tech accelerator? You're about to find out. On this episode, you'll meet Elissa Shevinsky from Faster Than Light. They are building a static code analysis as a service business for Python and other code bases. We touch on a bunch of fun topics including static code analysis, entrepreneurship, and tech accelerators.
Episode #227: Maintainable data science: Tips for non-developers
Released August 28, 2019 (6 years ago)
Did you come to software development outside of traditional computer science? This is common, and even how I got into programming myself. I think it's especially true for data science and scientific computing. That's why I'm thrilled to bring you an episode with Daniel Chen about maintainable data science tips and techniques.
Episode #226: Building Flask APIs for data scientists
Released August 23, 2019 (6 years ago)
If you're a data scientist, how do you deliver your analysis and your models to the people who need them? A really good option is to serve them over Flask as an API. But there are some special considerations you might keep in mind. How should you structure this API? What type of project structures work best for data science and Flask web apps? That and much more on this episode of Talk Python To Me with guest AJ Pryor.
Episode #224: 12 lessons from 100 days of web
Released August 05, 2019 (6 years ago)
Back in May of 2018, Bob Belderbos, Julian Sequeira, and I started on what would be a 9-month project. We wanted to create a dedicated, 100 days of code course specifically for Python web developers. Much of what we created for that course, we had prior experience with. But much of it was also new to us.
Episode #222: Interactive graphs with Bokeh and Python
Released July 26, 2019 (6 years ago)
Do you have data you want to visualize and share? It's easy enough to make a static graph of it. But what if you want to zoom in and highlight different sections? What if you need to rerun your ML model on selected data? Then you might want to consider working with Bokeh. It does this and much more. Join me on this episode where you'll meet Bryan Van de Ven who heads up the Bokeh project.
Episode #217: Notebooks vs data science-enabled scripts
Released June 21, 2019 (6 years ago)
On this episode, I meet up with Rong Lu and Katherine Kampf from Microsoft while I was at BUILD this year. We cover a bunch of topics around data science and talk about two opposing styles of data science development and related tooling: Notebooks vs Python code files and editors.
Episode #216: Digging into Visual Studio Code
Released June 14, 2019 (6 years ago)
One of the questions I often ask at the end of the show is "When you write some Python code, what editor do you use?" Increasingly the most common answer is Visual Studio Code. Despite it's Windows only namesake, Visual Studio Code is cross-platform and has been gaining a lot of traction.
Episode #215: The software powering Talk Python courses and podcast
Released June 06, 2019 (6 years ago)
Have you ever wondered about the software stack powering Talk Python, the training website, mobile apps, video and audio delivery, and more? While at first glance it might seem pretty simple, there's quite a bit going on. We have our own custom search engines. We deliver 15-20 TB of data per month. Our course video streams from 8 locations throughout the world. Our database server is sending about 12 MBit of traffic / sec with no media in the mix. And it's all powered with Python.
Episode #214: Dive into CPython 3.8 and beyond
Released May 31, 2019 (6 years ago)
Python 3.8 is coming soon. It's scheduled for release at the end of October 2019 and you can already download test versions today. Given that Python ships on an 18-month cycle, it's time to talk about what's coming for us Python developers in the fall.
Episode #213: WebAssembly and CPython
Released May 25, 2019 (6 years ago)
On the last episode, we explored Pyodide. A project whose goal is to bring the CPython scientific stack to the browser via WebAssembly.
Episode #211: Classic CS problems in Python
Released May 11, 2019 (6 years ago)
Many of you studied computer science at a University to get into programming and your careers. But I bet most of you came through some self-study or some sort of back door into the industry. I count myself among that crowd.
Episode #208: Packaging, Making the most of PyCon, and more
Released April 21, 2019 (6 years ago)
Are you going to PyCon (or a similar conference)? Join me and Kenneth Retiz as we discuss how to make the most of PyCon and what makes it special for each of us.
Episode #206: Running Django in Production
Released April 06, 2019 (6 years ago)
Let's talk about running Django in production. On this episode, you'll meet Michael Herman who used to work on realpython.com and today is running testdriven.io. We also cover some of the tradeoffs of a set of microservices and a monolith and a round trip journey between them.
Episode #205: Beginners and Experts Panel
Released April 02, 2019 (6 years ago)
Welcome to part 2 of our beginners and experts series. This one is a panel format with 7 different guests. Each of them a beginner in their own way. We dig deeper into some follow up conversations for part 1 with our panelists.
Episode #203: Beginners and Experts in Software Development
Released March 13, 2019 (6 years ago)
What's it like to be a beginner in software development? How about learning Python for the first time? This episode is a special panel episode and is the first of a two-part series we are doing on the podcast called Beginners and Experts.
Episode #200: Escaping Excel Hell with Python and Pandas
Released February 21, 2019 (6 years ago)
Do you know or maybe work with people who abuse Excel? Is it their hammer to pound all the computational problems that get in their way? Well, join me to chat about this opportunity to bring Python deeper into their lives. You'll meet Chris Moffitt who runs Practical Business Python. He works with lots of folks who could make better use of Python to solve their business problems and he has a ton of material on his website. It's time to escape Excel hell with Python and Pandas.
Episode #199: Automate all the things with Python at Zapier
Released February 14, 2019 (6 years ago)
Do your applications call a lot of APIs? Maybe you have a bunch of microservices driving your app. You probably don't have the crazy combinatorial explosion that Zapier does for connecting APIs! They have millions of users automating things with 1,000s of APIs. It's pretty crazy. And they are doing it all with Python. Join me and Bryan Helmig, the CTO and co-founder of Zapier as we discuss how they pull this off with Python.
Episode #198: Catching up with the Anaconda distribution
Released February 09, 2019 (6 years ago)
It's time to catch up with the Anaconda crew and see what's new in the Anaconda distribution. This edition of Python was created to solve some of the stickier problems of deployment, especially in the data science space. Their usage gives them deep insight into how Python is being used in the enterprise space as well. Which turns out to be a very interesting part of the conversation.
Episode #197: Modern Python Standard Library Cookbook
Released February 02, 2019 (6 years ago)
A recent twitter poll went around the web and it asked, what percentage of the Python standard library do you think you know? Someone copied me on it, maybe expecting some really high percentage answer. In reality, what I did answer and my rough estimate is that it's probably around 50%.
Episode #194: Learning (and teaching) Python in a vacuum
Released January 11, 2019 (6 years ago)
How do you learn programming when you're working in a vacuum? Sure there are resources on the internet, but sometimes just bouncing ideas of others in person makes a huge difference. Join me along with Rusti Gregory as we discuss how he is learning and teaching Python in a small town in Vermont.
Episode #193: Data Science Year in Review 2018 Edition
Released December 31, 2018 (6 years ago)
This year, 2018, is the year that the number of data scientists doing Python equals the number of web developers doing Python. That's why I've invited Jonathon Morgan to join me to count down the top 10 stories in the data science space.
Episode #190: Teaching Django
Released December 11, 2018 (6 years ago)
You'll find this episode to be part discussion on how to teach and learn Django as well as why learning web development can be hard and part meta where Will Vincent and I discuss the business of creating content and teaching around Python.
Episode #188: Async for the Pythonic web with Sanic
Released December 01, 2018 (6 years ago)
What do most web servers do most of the time? They wait. They wait on external systems while processing a request.
Episode #187: Secure all the things with HubbleStack
Released November 20, 2018 (6 years ago)
How do you keep track of the security, configuration states, and even out of date system level packages in your servers? What if you had 40,000 or more servers? How's your process scale? I'll tell you, mine would take some tweaks!
Episode #186: 100 Days of Python in a Magical Universe
Released November 16, 2018 (6 years ago)
The key to making anything a habit, including learning to program, is to make it fun. That's exactly what Anna-Lena Popkes did with her 100 days of code challenge. She created a magical universe where Python-derived creatures and castles live.
Episode #185: Creating a Python 3 Culture at Facebook
Released November 09, 2018 (6 years ago)
Do you or your team maintain a large Python 2 code base? Would you like to move to Python 3 but there's just too much in place keeping you on legacy Python? Then you will definitely enjoy this story from Jason Fried. He created a grassroots campaign to move Facebook's massive Python 2 codebase to Python 3 and he made Python 3 part of the culture. There are lessons here for every listener.
Episode #183: Qt for Python
Released October 24, 2018 (7 years ago)
Python is taking over much of the development world as it quickly is becoming one of the, or simply the most widely used programming languages. But that does not mean that Python is without its weaknesses. In my mind, there are three such weaknesses: #1 GUIs applications, #2 Native, general purpose mobile apps (iOS and Android), #3 deployment as a single binary or set of binary and resource files.
Episode #182: Picture Python at Shutterfly
Released October 17, 2018 (7 years ago)
Join me and Doug Farrell as we discuss his career and what he's up to at Shutterfly. You'll learn about the Python stack he's using to work with, not just with bits and bytes, but physical devices on a production line for creating all sorts of picturesque items. You'll also hear how both he and I feel it's a great time to be a developer, even if you're on the older side of 30 or 40 or beyond.
Episode #181: 30 amazing Python projects
Released October 12, 2018 (7 years ago)
Listeners often tell me one of the really valuable aspects of this podcast is the packages and libraries that they learn about and start using in their projects from guests and myself. On this episode, I've invited Brian Okken (my co-host over on Python Bytes) to take this to 11. We are going to cover the top 30 Python packages from the past year (metric to be determined later in the show).
Episode #180: What's new in Python 3.7 and beyond
Released October 02, 2018 (7 years ago)
The Python core developers recently released Python 3.7 and are now busy planning what's coming in 3.8. That makes right now a great time to dig into what was included in Python 3.7 and what's on deck for the next great release of CPython. This week we have Anthony Shaw back on the podcast to tell us all about it.
Episode #178: Coverage.py
Released September 21, 2018 (7 years ago)
You know you should be testing your code right? How do you know whether it's *well* tested? Are you testing the right things? If you're not using code coverage, chances are is you're guessing.
Episode #177: Flask goes 1.0
Released September 15, 2018 (7 years ago)
Flask is now 8 years old and until recently had gone along pretty steady state. It had been hanging around at version 0.11 and 0.12 for some time. After a year-long effort, the web framework has now been updated to Flask 1.0.
Episode #176: The Python Community by the Numbers
Released September 10, 2018 (7 years ago)
The Python landscape is changing pretty dramatically. Python's rapid growth over the past 5 years means it doesn't look the same as the early days. On this episode, we take a deep look inside the state of the Python ecosystem with Ewa Jodlowska and Dmitry Filippov. They lead the PSF and JetBrains Python survey. And they are here to dig into the results.
Episode #175: Teaching Python to network engineers
Released August 31, 2018 (7 years ago)
The discipline of network engineering is quickly moving towards a world where it's as much programming and automation as it is packets and ports. Join me and Hank Preston to discuss what parts of Python are important for network engineers to learn.
Episode #174: Coming into Python from another Industry (part 2)
Released August 16, 2018 (7 years ago)
Not everyone comes to software development and Python through 4-year computer science programs at universities. This episode highlights one alternative journey into Python.
Episode #173: Coming into Python from another Industry (part 1)
Released August 07, 2018 (7 years ago)
Not everyone comes to software development and Python through 4-year computer science programs at universities. This episode highlights one alternative journey into Python.
Episode #171: 1M Jupyter notebooks analyzed
Released July 29, 2018 (7 years ago)
Jupyter notebooks have transformed the way many developers and data scientists do their jobs. They offer a platform to not just explore but to explain data and computation.
Episode #169: Becoming a Python content creator
Released July 13, 2018 (7 years ago)
Corey Schafer has been building his YouTube channel of tutorials for many years. He recently made the big shift into making this hobby project his full time job. You'll hear about how Corey made that transition, what it takes to "go pro", and even a little bit about the similarities with my work with Talk Python and his project.
Episode #168: 10 Python security holes and how to plug them
Released July 06, 2018 (7 years ago)
Do you write Python software that uses the network, opens files, or accepts user input? Of course you do! That's what almost all software does. But these actions can let bad actors exploit mistakes and oversights we've made to compromise our systems.
Episode #167: Simplifying Python's Async with Trio
Released June 29, 2018 (7 years ago)
Ever since Python 3.5 was released, we've had a really powerful way to write I/O bound async code using the async and await keywords.
Episode #166: Continuous delivery with Python
Released June 14, 2018 (7 years ago)
We have evolved from, "It builds, ship it!" to continuous integration where every check-in is automatically verified by something like Travis CI. Taking that further, some people are using continuous delivery. This means, once a check-in is validated by the CI system, it's deployed -- automatically.
Episode #165: Python and the blockchain
Released June 08, 2018 (7 years ago)
The blockchain and cryptocurrencies are some of the most disruptive technologies of the decade. On this episode, you'll meet Stuart Farmer who is building a suite of developer tools that speed up the process of creating new and custom blockchains and apps.
Episode #164: Python in Brain Research at the Allen Institute
Released June 01, 2018 (7 years ago)
The brain is truly one of the final frontiers of human exploration. Understanding how brains work has vast consequences for human health and computation. Imagine how computers might change if we actually understood how thinking and even consciousness worked.

On this episode, you'll meet Justin Kiggins and Corinne Teeter who are research scientists using Python for their daily work at the Allen Institute for Brain Science. They are joined by Nicholas Cain who is a software developer supporting scientists there using Python as well.
Episode #163: Python in Geoscience
Released May 25, 2018 (7 years ago)
Learn how Python is being used in research to understand the inner workings of the Earth.
Episode #162: Python in Building and Architecture
Released May 21, 2018 (7 years ago)
You often hear about architecture in software. This could be things like microservices, 3-tier apps, or even the dreaded client-server mainframe app. But this episode, we're turning this on its head: It's software in architecture and real-world construction projects with Mark Mendez.
Episode #161: Django 2.0
Released May 12, 2018 (7 years ago)
Django has reached a major milestone with its 2.0 release. This puts legacy Python (that is Python 2) fully in the rear-view mirror and brings some nice new features to the framework.
Episode #160: Lektor: Beautiful websites out of flat files
Released May 04, 2018 (7 years ago)
What is the fastest, most scalable web platform? Is it Pyramid running on top of MongoDB with a Redis cache? Maybe Flask and Postgres as a service? Some funky Go API framework?
Episode #159: Inside the new PyPI launch
Released April 27, 2018 (7 years ago)
Python is often described as a "batteries included" language and ecosystem. In fact, that's been taken so far that there is even a delightful Easter egg in the Python REPL. Just type "import antigravity" to see what I mean.
Episode #158: Quantum Computing and Python
Released April 20, 2018 (7 years ago)
You've surely heard of quantum computing and quantum computers. They are based on the (often) non-intuitive nature of very small particles described by quantum mechanics. So how do they work and what will they mean for us as a society and as developers?
Episode #157: The Journal of Open Source Software
Released April 06, 2018 (7 years ago)
One of the hottest areas of growth for Python is in the scientific and data science communities. But if that work is done in an academic or research setting, it can be very hard to get proper credit for it. You have to write full on peer reviewed articles.
Episode #155: Practical steps for moving to Python 3
Released March 16, 2018 (7 years ago)
Since 2008 there has been this tension in Python where the much of the effort to improve Python has been on Python 3 whereas many developers were left stuck on Python 2 primarily because important packages were not yet Python 3 capable.
Episode #153: How Python Evolves
Released March 01, 2018 (7 years ago)
If you have spent some time in the Python community, you have probably heard the term PEP which stands for Python Enhancement Proposal. In fact, the very first one was created in June 2000 which defines the PEP process.
Episode #151: Gradual Typing of Production Applications
Released February 16, 2018 (7 years ago)
I hope you using Python 3 these days. One of its powerful new features is type annotations. This lets you build and maintain large-scale Python projects with much more ease and confidence.
Episode #150: Technical Lessons Learned from Pythonic Refactoring
Released February 08, 2018 (7 years ago)
Does your code smell? Have a weird fragrance? It turns out code smells are a real thing and an amazing conceptualization of suboptimal design. This week you'll meet Yenny Cheung who has some practical and real-world advice on using refactoring in Python to improve your code and wash away those code smells.
Episode #149: 4 Python Web Frameworks, Compared
Released February 02, 2018 (7 years ago)
Are you considering getting into web programming? Choosing a web framework (like Pyramid, Flask, or Django) can be daunting. It would be great to see them all build out the same application and compare the results side-by-side.
Episode #147: Quart: Flask, but 3x faster
Released January 19, 2018 (7 years ago)
There has been a bunch of new Python web frameworks coming out in the past few years. Generally, these have been focused solely on Python 3 and have tried to leverage Python's new async and await features.
Episode #146: Building Alexa Skills with Python and Flask
Released January 11, 2018 (7 years ago)
Voice assistants and voice interfaces are quickly becoming the new, hot way to interact with computers. Two of the notable ones are amazon echo devices and google home devices.

Wouldn't it be great if we could program these with Python? Even better if we could use well-known APIs such as Flask.
Episode #145: 2017 Python Year in Review
Released December 31, 2017 (7 years ago)
It's been an amazing year for Python. We've seen its meteoric growth continue to become the most popular, major programming language. We've seen significant grants and funding come in for open source. And this just might be the year that the Python 2 or Python 3 question was finally settled.
Episode #144: Machine Learning at the Large Hadron Collider
Released December 26, 2017 (7 years ago)
We all know Python is becoming increasingly important in both science and machine learning. This week we journey to the very forefront of Physics.
Episode #143: Tuning Python Web App Performance
Released December 20, 2017 (7 years ago)
Do you run a web application or web service? You probably do a couple of things to optimize the performance of your site. Make sure the database response quickly and more. But did you know a well of performance improvements live in your web servers themselves?
Episode #141: Python tricks
Released December 07, 2017 (7 years ago)
How many Python developers do you know that learned Python quickly but then plateaued pretty quickly as well. Maybe this is someone you worked with or maybe it's even you. Python's clean and simple syntax can mean it's easy to learn but hard to master.
Episode #140: Level up your Python with #100DaysOfCode challenge
Released November 29, 2017 (7 years ago)
How do you learn libraries or parts of Python itself that you don't have actual work projects involving them? Whether that's SQLAlchemy, Slack bots, or map APIs, actually building projects (small and large) with them is really the only way to gain true competency.
Episode #138: Anvil: All web, all Python
Released November 15, 2017 (7 years ago)
Have you noticed that web development is kind of hard? If you've been doing it for a long time, this is easy to forget. It probably sounds easy enough
Episode #136: Secure code lessons from Have I Been Pwned
Released November 02, 2017 (7 years ago)
Do run any code that listens on an open port on the internet? This could be a website, a RESTful web service, or (gasp) even a database endpoint.
Episode #135: Capturing human moments with AI and Python
Released October 27, 2017 (8 years ago)
We all have smartphones these days. And we take them with us everywhere we go. How much could you infer about a person (their stage in life, their driving style, their work / life balance) based on just a phone's motion and GPS data?
Episode #134: Python in Climate Science
Released October 19, 2017 (8 years ago)
What is the biggest challenge facing human civilization right now? Fake news, poverty, hunger? Yes, all of those are huge problems right now. Well, if climate change kicks in, you can bet it will amplify these problems and more. That's why it's critical that we get answers and fundamental models to help understand where we are, where we are going, and how we can improve things.
Episode #133: Productivity for developers
Released October 11, 2017 (8 years ago)
This episode is all about developer productivity. From continuous learning, to git source control tips, to tools and books for developers, Jay Miller from the Productivity in Tech podcast is here to share his experiences.
Episode #132: Contributing to open source
Released October 04, 2017 (8 years ago)
Are you new to open source? Maybe been using it for a long time and never got around to contributing to it? Wondering how to get started?
Episode #130: 10 books Python developers should be reading
Released September 19, 2017 (8 years ago)
One of the hallmarks of successful developers is continuous learning. The best developers I know don't just keep learning, it's one of the things that drives them. That's why I'm excited to bring you this episode on 10 books Python developers should read.
Episode #129: Falcon: The bare-metal Python web framework
Released September 14, 2017 (8 years ago)
Full featured web frameworks such as Django are great. But sometimes, living closer to the network layer is just the thing you need.
Episode #128: Pythonic Networks with NAPALM
Released September 07, 2017 (8 years ago)
When you think of networks, you probably think of physic things: Routers, switches, firewalls, and more. But increasingly, network engineers are managing massive networks that are better managed with software than via admin applications.
Episode #127: Shipping software to users
Released August 31, 2017 (8 years ago)
To make software useful, honestly, to even make it real, you have to ship it. Building a web app? Then deploy that next version. Building a toolset for data scientists? Send them that application. Managed to get a cool GUI going in Python with Togo or PySide? Time to have your users start downloading it.
Episode #126: Kubernetes for Pythonistas
Released August 22, 2017 (8 years ago)
Containers are revolutionizing the way we deploy and manage applications. These containers allow us to build, develop, test, and even deploy on the exact same system. We can build layered systems that fill in our dependencies. They even can play a crucial role in zero-downtime upgrades.
Episode #125: Django REST framework and a new API star is born
Released August 15, 2017 (8 years ago)
APIs were once the new and enabling thing in technology. Today they are table-stakes. And getting them right is important. Today we'll talk about one of the most popular and mature API frameworks in Django REST Framework. You'll meet the creator, Tom Christie and talk about the framework, API design, and even his successful take on funding open source projects.
Episode #123: Lessons from 100 straight dev job interviews
Released July 31, 2017 (8 years ago)
What if you could take the experience and insight from 100 job interviews and use them to find just the right job. You'd be able to weed out the bad places that are not the right fit. You'd see that low-ball offer coming a mile away and move right along.
Episode #122: Home Assistant: Pythonic Home Automation
Released July 26, 2017 (8 years ago)
The past few years have seen an explosion of IoT devices. Many of these are for the so-called smart home. Their true potential lies in the ability to coordinate and automate them as a group.
Episode #121: Microservices in Python
Released July 19, 2017 (8 years ago)
Do you have big, monolith web applications or services that are hard to manage, hard to change, and hard to scale? Maybe breaking them into microservices would give you many more options to evolve and grow that app.
Episode #120: Python in Finance
Released July 12, 2017 (8 years ago)
This week we'll enter the world of stock markets, trades, hedge funds and more. You'll meet Yves Hilpisch who runs The Python Quants where Python, open-source, education, and finance intersect.
Episode #119: Python in Engineering
Released July 06, 2017 (8 years ago)
Think about how you learn most technical or detail-oriented subjects?
Episode #118: Serverless software
Released June 27, 2017 (8 years ago)
Let's consider the progression we've been on over the past 15 or so years.
Episode #116: 10 top talks of PyCon 2017 reviewed
Released June 12, 2017 (8 years ago)
Whether you got to attend PyCon, there were just too many good talks to attend them all. Luckily our friends at the PSF were on top of publishing the videos online for the whole world to watch for free.

On this episode, we'll meet up with Brett Slatkin and replay his path through PyCon. We touch on his top 10 sessions from PyCon 2017.
Episode #115: Python for Humans projects
Released June 08, 2017 (8 years ago)
When you think of popular Python packages, what comes to mind? There's a good chance that this week's guest, Kenneth Reitz, wrote that package you just thought of. He's the author of so of Python's most popular libraries, including Requests, Records, Maya, and pipenv just to name a few.
Episode #114: Empowering developers at the Hidden Genius project
Released May 30, 2017 (8 years ago)
As most of you know, learning to program opens doors. It takes every day people and turns them into creators. Once you know programming, and Python, you've passed through a door to a place with much more opportunity.
Episode #113: Dedicated AI chips and running old Python faster at Intel
Released May 27, 2017 (8 years ago)
Where do you run your Python code? No, not Python 3, Python 2, PyPy or the other implementations. I'm thinking waaaaay lower than that. This week we are talking about the actual chips that execute our code.
Episode #111: Pythonic Career Advice and More
Released May 13, 2017 (8 years ago)
Time for some Pythonic job and career advice with Matt Harrison. Listen in as we discuss how most developer jobs never make it to full job listings and how you can get in on them. We also discuss his books and his avalanche research with the Pandas library.
Episode #110: Data Democratization with Redash
Released May 02, 2017 (8 years ago)
Are you asked to generate reports from your company's data? Has someone suggested that you buy / deploy massive BI software that expensive, closed source, and generally underwhelming?
Episode #109: MongoDB Applied Design Patterns
Released April 29, 2017 (8 years ago)
Database design and decisions use to be fairly straightforward. Pick your relational database engine, map out the general entities, apply the third-normal-form (3NF) to them and you're basically done.

With the Cambrian explosion of database options and variations created from 2009 to present, it gets much harder to even choose the database much less follow the well-worn path of 3NF.
Episode #107: Python concurrency with Curio
Released April 15, 2017 (8 years ago)
You have heard me go on and on about how Python 3.5's async and await changes the game for asynchronous programming in Python. But what exactly does that mean? How does it work in APIs? Internally?

Today I'm here with David Beazley who has been deeply exploring this space with his project Curio.
Episode #105: A Pythonic Database Tour
Released March 27, 2017 (8 years ago)
There are many reasons it's a great time to be a developer. One of them is because there are so many choices around data access and databases. So this week we take tour with our guest Jim Fulton of some databases you may not have heard of or given a try.
Episode #103: Compiling Python through PyLLVM and MongoDB for Data Scientists
Released March 16, 2017 (8 years ago)
This episode we have an optimization 2fer.
Episode #99: Morepath: Super Powered Python Web Framework
Released February 15, 2017 (8 years ago)
One of the areas where Python truly shines is on the web. Many well known websites like YouTube, Pintrest, and Spotify are powered by Python. In the mid 2000's, a number of powerful and popular frameworks were created such as Django, Flask, and Pyramid.
Episode #98: Adding concurrency to Django with Django Channels
Released February 08, 2017 (8 years ago)
One of the major areas of innovation in Python 3 is advances in async and concurrent programming. Yet, when working with any of the major web frameworks: django, flask, or pyramid, this is basically no concurrent option. That's why Andrew Godwin decided to tackle the issue on the django side with django channels.
Episode #97: Flask, Django style with Flask-Diamond
Released February 02, 2017 (8 years ago)
There's a whole spectrum of Python web frameworks. On one end we have the micro-frameworks like bottle, flask, and do some degree Pyramid. On the other things like Django and even CMSes like Wagtail (built on Django) in the far end.
Episode #96: Exploring Awesome Python
Released January 25, 2017 (8 years ago)
Python is said to be a language that comes with "batteries included". That has many meanings depending on the level you're focusing on. At the lowest, it's a very rich and expressive language. Most commonly it means Python has a powerful and comprehensive standard library (itertools and elementtree anyone?).
Episode #94: Guarenteed packages via Conda and Conda-Forge
Released January 11, 2017 (8 years ago)
Have you ever had trouble installing a package you wanted to use in your Python app? Likely it contained some odd dependency, required a compilation step, maybe even using an uncommon compiler like Fortran. Did you try it on Windows? How many times have you seen "Cannot find vcvarsall.bat" before you had to take a walk?
Episode #93: Spreading Python through the sciences with Software Carpentry
Released January 03, 2017 (8 years ago)
You often hear that we need to teach computer science as a foundational skill. Why? Well I'm not sure many of the leaders pushing this forward have great answers other than jobs!
Episode #90: Data Wrangling with Python
Released December 21, 2016 (8 years ago)
Do you have a dirty, messy data problem? Whether you work as a software developer or as a data scientist, you've surely run across data that was malformed, incomplete, or maybe even wrong. Don't let messy data wreck your apps or generate wrong results.
Episode #88: Lightweight Django
Released December 06, 2016 (8 years ago)
Django is a very popular Python web framework. One reason is you have many building blocks to drop in for large sections of your application. Need a full-on admin table editor backend? That's a few lines of code and boom you have a basic table editor.
Episode #87: PonyORM: The most Pythonic ORM yet?
Released November 29, 2016 (8 years ago)
If you could have any API you want for accessing data from Python, what would it look like? What would make it Pythonic? This week you'll hear about Pony ORM: Pony is a Python ORM with beautiful query syntax that lets you write your database queries using Python generators and lambdas.
Episode #86: Python at StackOverflow
Released November 24, 2016 (8 years ago)
If you run into a problem with some API or Python code what do you do to solve it? I personally throw a few keywords into google, sometimes even before checking the full docs.
Episode #85: Parsing horrible things with Python
Released November 17, 2016 (8 years ago)
Do you have horribly convoluted things that need parsing? Obviously you'll learn a bunch of tips and tricks from this episode. But you'll see that advanced parsing is a gateway to many interesting computer science techniques.
Episode #84: Are we failing to fund Python's core infrastructure?
Released November 08, 2016 (8 years ago)
When was the last time you used a 3rd party package in Python? Have you recently pip installed SQLAlchemy? Maybe looked up the documentation on a package you found on PyPI?
Episode #83: Python Videos on Demand at PyVideo
Released November 02, 2016 (8 years ago)
Have you ever searched for a Python educational video? Maybe how to get started with Pyramid, or running queries with SQLAlchemy's ORM layer?
Episode #81: Python and Machine Learning in Astronomy
Released October 21, 2016 (9 years ago)
The advances in Astronomy over the past century are both evidence of and confirmation of the highest heights of human ingenuity. We have learned by studying the frequency of light that the universe is expanding. By observing the orbit of Mercury that Einstein's theory of general relativity is correct.
Episode #80: TinyDB: A tiny document db written in Python
Released October 16, 2016 (9 years ago)
NoSQL and document dbs like MongoDB have made building fast scalable software that is easy to evolve and maintain much easier for a broad class of applications. Embeddable, file-based databases like SQLite have made "shipping" an application requiring a database a no brainer. The database just runs in process so there is no setup or maintenance.
Episode #79: Beeware Python Tools
Released October 07, 2016 (9 years ago)
Could you write me a Python app for the wide range of platforms out there? Oh, wait, I want them to be native GUI applications. And I need them on mobile (Android, iOS, tvOS, and watchOS) as well as major desktop apps. I also need them to appear indistinguishable from native apps (be a .app on macOS, .exe on Windows, etc).
Episode #77: 20 Python Libraries You Aren't Using (But Should)
Released September 23, 2016 (9 years ago)
Many of you write to me and tell me how you appreciate the way my guests and I highlight a particular Python package at the end of each episode. Well if you enjoy that little segment, you're going to love this episode.
Episode #76: Renewable Python
Released September 15, 2016 (9 years ago)
Even with solar panels on your roof, it’s possible that your home is still being powered by fossil fuels. Climate innovator and Python developer Anna Schneider is trying to change that. At her company WattTime, consumers can source the cleanest energy available on the grid.
Episode #73: Machine learning at the new Microsoft
Released August 26, 2016 (9 years ago)
In this episode we catch up with David Crook, a developer evangelist at Microsoft. He is a co-organizer for the Fort Lauderdale Machine Learning User Group and is involved in many more user groups and meetups. You hear about some really cool projects where they are using Python and TensorFlow to work on simple things like growing more food to help feed the world.
Episode #72: Fashion-driven open source software at Zalando
Released August 19, 2016 (9 years ago)
What happens when you take a tech-driven online fashion company that is experiencing explosive growth and infuse it with a deep open-source mission? You'll find out on this episode of Talk Python To Me.
Episode #71: Soft Skills: The software developer's life manual
Released August 11, 2016 (9 years ago)
Writing good, clean code and having a deep working knowledge of Python is critical to your success as a Python developer. But if you look at those who have truly excelled in their career, it's often because they bring something in addition to coding skills.
Episode #67: Property-based Testing with Hypothesis
Released July 13, 2016 (9 years ago)
Let's talk about your unit testing strategy. How do you select the tests you write or do you even write tests? Typically, when you write a test you have to think of what you are testing and the exact set of inputs and outcomes you're looking for. And there are strategies for this. Try to hit the boundary conditions, the most common use-cases, seek out error handling and so on.
Episode #66: Faster Python Programs: Measure, Don't Guess
Released July 07, 2016 (9 years ago)
Python is a wonderful programming language that is often underestimated because it's so clear and simple. Oftentimes people mistake this simplicity for being too simple for real-programs. After all, you didn't even struggle to get your program to link against an incompatible static library or battle a DLL version mismatch in your Python app today did you?
Episode #65: Jump on the real-time web with RethinkDB
Released June 29, 2016 (9 years ago)
Long gone are the days of the web acting as just linked documents and glorified brochures. Web apps of today are just that, rich interactive applications. But unlike desktop apps of old, these are apps with 100,000's or even millions of concurrent users.
Episode #64: Inside the Python Package Index
Released June 24, 2016 (9 years ago)
What is the most powerful part of the Python ecosystem? Well, the ability to say "pip install magic_library" has to be right near the top. But do you what powers the Python Package Index and the people behind it? Did you know it does over 300 TB traffic each month these days?
Episode #63: Validating Python tests with mutation testing
Released June 16, 2016 (9 years ago)
Do you think it's a good idea to test your software? Do you write unit tests or other automated verification for code? I think most of us do these days. A key question is how do you know whether your tests sufficiently verify your code? The standard answer is code coverage.
Episode #62: San Diego Technology Immersion Group Learns Python
Released June 07, 2016 (9 years ago)
What's it like to learn Python? Yes, some of you may have just picked up the language while others have lived and breathed it for years. Either way, you may have some hindsight bias towards the experience. What was hard? What were your expectations? What delighted you?
Episode #61: Free software, free people
Released May 30, 2016 (9 years ago)
How often do you read some news headline about free speech denied and human rights being suppressed and think that sucks but there is nothing I can do about it from my distant perspective. I guess you could vote slightly differently in the next election and maybe, just maybe, it will have a small impact in 4 years time.
Episode #59: SageMath - Open source is ready to compete in the classroom
Released May 18, 2016 (9 years ago)
What do you do when you are a high caliber mathematician or scientist and you want share your algorithms and code? This sounds like a job for github, but the problem is often this work is done on proprietary platforms such as Magma, Matlab, Mathematica or others.
Episode #58: Create better Python programs with concurrency, libraries, and patterns
Released May 10, 2016 (9 years ago)
What do you focus on once you've learned the core concepts of the Python programming language and ecosystem?
Episode #57: Python performance from the inside-out at Intel
Released May 05, 2016 (9 years ago)
When you think about the performance of your software, there is nothing more low level and fundamental than how your code executes on the CPU itself. Many of us study and try to understand how to maximize performance at this low level. But few are in a position to define what happens at this level.
Episode #55: How our engineering environments are killing diversity (and how we can fix it)
Released April 21, 2016 (9 years ago)
In the software field, we pride ourselves on fairness, openness and the fact that our workplaces are largely meritocracies. And compared to other environments, I would say this is certainly true. It's one of the reasons I love being a developer.

And yet, if we look at programming jobs in Silicon Valley, you'll see that over 85% of them are filled by men and less than 15% women.
Episode #52: EVE Online: MMO game powered by Python
Released March 27, 2016 (9 years ago)
Have you ever played a massively multiplayer online game? My first experience with these types of games with text-based role playing games called MUDs back in the early 90's. Well, things have come a long way since then. Game such as Eve Online have hundreds of thousands of players exploring, trading, and battling within a universe of over 7,000 star systems. Gameplay in Eve Online consists of beautiful 3D space flight within a dynamic universe and many real world players.
Episode #48: Building Flask-based Web Apps
Released March 01, 2016 (9 years ago)
When you think of Python web microframeworks, Flask is definitely near the top of the list. With almost 19,000 stars on GitHub it's a powerful and extensible web framework and it even powers the bandwidth intensive audio delivery of the Talk Python To Me podcast.
Episode #46: Python in Movies and Entertainment
Released February 16, 2016 (9 years ago)
What did you experience the last time you watched a movie in a theater? Were you captivated by fast-paced action and special effects? Deeply moved by the characters that came to life during those two hours when the outside world just melted away? Yeah, movies are still magical.
Episode #45: The Python Testing Column, Now a Thing
Released February 09, 2016 (9 years ago)
What is the role, the core purpose of writing tests for your application? Should you write more unit tests and fewer integration tests, or is it actually the other way around? You may have heard of the test pyramid with unit tests building the foundation. In this episode we talk about a variation on that theme called the test column. We talk about this and more with Brian Okken on this episode of Talk Python To Me.
Episode #43: Monitoring high performance Python apps at Opbeat
Released January 26, 2016 (9 years ago)
What does it take to track detailed analytics and errors from literally thousands of web applications all at once? Could you build such a system entirely in Python?
Episode #41: Getting your first dev job as a Python developer (part 2)
Released January 12, 2016 (9 years ago)
How often do you meet people who are looking to get into the software development space? Do they ask you for advice? Maybe they want to know your story of how you got started and landed that first big job. Maybe they want to know what they should be doing right now.
Episode #40: Top 10 Data Science Stories from 2015
Released December 29, 2015 (9 years ago)
It's the end of the year and many of you are probably kicking and taking it easy without a TPS report to be seen. So we'll keep this fun and lighthearted this week. We've teamed up with the Partially Derivative podcast and we're running down the top 10 data science stories of 2015 in this joint episode.
Episode #38: Continuous Integration and Delivery at Codeship
Released December 15, 2015 (9 years ago)
Have you heard about the works on my machine certification program? It's a really awesome certification for developers. It was created by Joseph Cooney and enhanced by Jeff Atwood (of stackoverflow fame). Here's how it works:
Episode #37: Python Cybersecurity and Penetration Testing
Released December 08, 2015 (9 years ago)
How secure is your application? Do you know the main vulnerabilities that most apps suffer from? How would you even start answer these questions? On this episode of Talk Python To Me, Justin Seitz is here to tell us all about it.
Episode #36: Python IDEs with the PyCharm team
Released December 01, 2015 (9 years ago)
As a software developer, what's the most important application on your computer? If your answer is Microsoft Outlook, my heart goes out to you - stay strong! But for most of us, it's probably a toss up between your web browser and code editor.
Episode #35: Turbogears and the future of Python web frameworks
Released November 24, 2015 (9 years ago)
Do you have a new web project coming up? Are you thinking of choosing Django or maybe Flask? Those are excellent frameworks, but you might also want to check out TurboGears.
Episode #34: Continuum: Scientific Python and The Business of Open Source
Released November 17, 2015 (9 years ago)
What if you built a product that dramatically improved how hundreds of free, open source Python libraries worked together, gave it to the world for free, and then built a thriving business on it? It's the open-source dream really, isn't it? In this episode, we talk with Travis Oliphant from Continuum who did exactly that!
Episode #33: OpenStack: Cloud computing built on Python
Released November 10, 2015 (9 years ago)
You've probably heard of Infrastructure-as-a-services (IaaS) cloud providers such as Amazon's AWS, with EC2 in particular, and to a lesser degree Microsoft's Azure cloud platform. But have you hear of OpenStack? It is an incredibly powerful IaaS platform which you can buy as a service or install in your own data center to build your own private cloud
Episode #32: PyPy.js - PyPy Python in Your Browser
Released November 03, 2015 (9 years ago)
Imagine a future where you are building that rich, client-side web app. You start by creating some backend services in Flask or Node, an HTML page, throw in a few divs and uls, and then you type [script src="main.py" language="Python"].
Episode #29: Python at the Large Hadron Collider and CERN
Released October 13, 2015 (10 years ago)
The largest machine ever built is the Large Hadron Collider at CERN. It's primary goal was the discovery of the Higgs Boson: the fundamental particle which gives all objects mass. The LHC team of 1000's of physicists achieved that goal in 2012 winning the Nobel Prize in physics. Kyle Cranmer is here to share how Python was at the core of this amazing achievement!
Episode #28: Making Python Fast: Profiling Python Code
Released October 06, 2015 (10 years ago)
Is that Python code of yours running a little slow? Are you thinking of rewriting the algorithm or maybe even in another language? Well, before you do, you'll want to listen to what Davis Silverman has to say about speeding up Python code using Profiling.
Episode #27: Four Years of Python for High Schoolers
Released September 29, 2015 (10 years ago)
Often people complain about the lack of developer skills in western countries like the United States and that problem is amplified when you consider typically under represented groups such as women and minorities. This week you'll meet Laura Blankenship who is doing more than her share to widen the appeal of programming in general and Python in particular.
Episode #26: Deploying Python Web Applications (Updated)
Released September 22, 2015 (10 years ago)
So, you've build an amazing Python web app and now what? You want to put it online of course but that's a whole different skill set. You're in luck, because Matthew Makai is here to tell us all about deploy Python applications on this episode of Talk Python To Me.
Episode #25: Effective Python
Released September 15, 2015 (10 years ago)
What if you could bottle up all the wisdom and hard-fought experience of many expert Python developers and power up your own skills? That's what Brett Slatkin did and he put it in his book Effective Python.
Episode #23: 3D Printing with Python at Authentise
Released September 01, 2015 (10 years ago)
You've heard of the full-stack developer and full-stack Python, but this week Authentise is taking it to a new level with Python all the way from the cloud to the client to the printer.
Episode #21: PyPy - The JIT Compiled Python Implementation
Released August 18, 2015 (10 years ago)
Is your Python code running a little slow? Did you know that the PyPy runtime could make it run up to 10x faster? Seriously! Maciej Fijalkowski is here to tell us all about it. This episode is all about the alternative, JIT compiled, garbage collection Python implementation PyPy.
Episode #19: Automate the Boring Stuff with Python
Released August 04, 2015 (10 years ago)
Some of the things we do in life are tedious and boring. It's the kind of thing that machines or robots could do. So let's build those machines!
Episode #18: Python Anti-patterns and other mistakes
Released July 28, 2015 (10 years ago)
Often the most important lessons we learn is what NOT to do. Show #18 is all about BAD Python code and Python Antipatterns with Andreas Dewes. Listen in to learn about the "Empty Intern Except Block" and other dubious coding decisions!
Episode #15: Python at Spotify, PSF, and PyLadies
Released July 07, 2015 (10 years ago)
A strong community is one of Python's super-powers and that's what this episode of Talk Python To Me is all about! We speak with Lynn Root about her work with Python at Spotify, her role in the PSF as a Python Software Foundation board member, how she came to be the founder of PyLadies San Francisco, her talks and presentations, as well as some excellent open source work she is doing.
Episode #14: Moving from PHP to Python 3 with Patreon
Released June 30, 2015 (10 years ago)
It's uncommon when technology and purpose combine to create something amazing. But that's exactly what's happening here a Patreon. Learn how they are using Python to enable an entirely new type of crowdsourcing for creative endeavours (podcasting, art, open source, and more).
Episode #13: Flask web framework and much, much more
Released June 23, 2015 (10 years ago)
Did you know that Flask has its origins in an April fools joke that unexpectedly took off? Listen in this week to hear about the history, current state, and future of Flask with its creator Armin Ronacher.

You'll learn how he's using Python as the backend for a set of major computer games. His thoughts on the future of web development and HTTP 2. And why Rust is an amazing new language you should check out.
Episode #12: Deep Dive into Modules and Packages
Released June 16, 2015 (10 years ago)
Quick: What's the difference between a module, a package, and packing in Python? Find out in this episode of Talk Python To Me.

All Python programmers use the import statement, but do you really know how it works and what it allows? Join David and Michael to take a deep dive into diabolical issues related to modules, packages, and imports. When we're done, you'll finally be ready to unleash your million line micro framework on the world!
Episode #11: PyImageSearch and Computer Vision
Released June 09, 2015 (10 years ago)
Does a computer see in color or black and white? It's time to find out on this episode of Talk Python to Me. Join Adrian Rosebrock as we talk about PyImageSearch, OpenCV, and building computer vision systems with Python and OpenCV.
Episode #10: Bringing Python to the Masses with Hosting and DevOps at PythonAnywhere
Released June 02, 2015 (10 years ago)
Did you know that PythonAnywhere started out as the first spreadsheet powered and scripted using Python before it became a hosting and Python-in-your-browser-Service (PiybS)! Come get to know Harry Percival and his path from Economics to PythonAnywhere all the way to Extreme Programming and Obey the Testing Goat.
Episode #9: Docker for the Python Developer
Released May 26, 2015 (10 years ago)
Did you know that Docker was not the original product from the team that built it? They were working on ways to improve their PaaS cloud platform and docker was just a side product! But oh what a side product. Wisely, dotCloud cancelled their PaaS plans and became Docker Inc.
Episode #8: Teaching Python at Grok Learning and Classrooms
Released May 19, 2015 (10 years ago)
Did you know that Australia is making text-based computer programming a core requirement for high school students? Grok Learning is building the platform to make teaching it to kids a joy for teachers and students. Our guest, Dr. James Curran is a key player in both of these projects.

Join Michael in a conversation with Dr. Curran from Sydney University and co-founder of Grok Learning to learn about both of these and more! You'll learn about the different types of online tutorials, or short courses, you can use for learning or teaching including a text-based MUD game!
Episode #6: Requests, PyCon, and Python's future
Released May 05, 2015 (10 years ago)
Come and get plugged right into the middle the inner circle of the Python community with Kenneth Reitz. You'll get some insight into conversations from the latest Language Summit.

Kenneth works at Heroku and may be best known for creating Requests - HTTP for Humans. Requests is the most popular package on PyPI, It has been downloaded over 40,000,000 times.
Episode #5: SQLAlchemy and data access in Python
Released April 28, 2015 (10 years ago)
In this episode we speak with Mike Bayer. Mike created SQLAlchemy in 2005 and over the past 10 years has been building and refining this amazing RDBMS ORM and data access layer.

You'll learn a lot about the history of the project and how it has evolved over time. You'll also here where Mike got some of his inspiration for the design patterns used in the library.
Episode #4: Enterprise Python and Large-Scale Projects
Released April 23, 2015 (10 years ago)
Mahmoud is lead developer of the Python Infrastructure team at eBay/PayPal and he has some amazing facts and studies to discuss about the truths and myths using Python for real projects. We discuss how eBay is using Python internally for many large-scale uses. Then we move on to discuss the 10 myths of enterprise Python, such as Python is not compiled, Python is weakly-typed, Python does not scale, and more.
Episode #3: Pyramid Web Framework
Released April 16, 2015 (10 years ago)
Join Michael for a conversation with Chris McDonough about the Pyramid web framework. You'll learn about what Pyramid is and how it compares to frameworks like Django, Flask, Bottle, and more. We discuss the history of the project and how Chris took inspiration from the Pylons project as well as some notable uses of Pyramid
Episode #2: Python and MongoDB
Released April 07, 2015 (10 years ago)
In this show we speak with Jesse Davis from MongoDB. Jesse is the maintainer for a number of popular open-source projects including the Python MongoDB driver known as PyMongo and Mongo C (for C/C++ developers, yes you read right! C developers).
Episode #1: EVE - RESTful APIs for humans
Released March 31, 2015 (10 years ago)
In this episode, our guest is Nicola Iarocci discuss his open-source RESTful framework named EVE. You will learn about the history of EVE, how you get started, and some of the more notable deployment and users of the framework.

Nicola and Michael talk about the careful balance of leading a successful open-source project in EVE and keeping the day job going. You'll also learn why Nicola chose MongoDB as the default backend for EVE.

We also discuss how Nicola got into Python and compare and contrast the open-source world of the Python community with other ecosystems such as the C# / .NET ecosystem.

Check out Nicola's course on Eve REST Framework
Episode #0: Introducing the show!
Released March 21, 2015 (10 years ago)
Welcome to the pre show! We are still building out the site and getting everything scheduled and setup. However, we're super excited to announce that we already have 3 or 4 excellent shows in the works. Subscribe and stay tuned!


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