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Episode #505: t-strings in Python (PEP 750)
Released May 13, 2025
(33 days ago)
Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted values into strings. And we have string.format() which offers several powerful styles. Both were verbose and indirect, so f-strings were added in Python 3.6. But these f-strings lacked security features (think little bobby tables) and they manifested as fully-formed strings to runtime code. Today we talk about the next evolution of Python string formatting for advanced use-cases (SQL, HTML, DSLs, etc): t-strings. We have Paul Everitt, David Peck, and Jim Baker on the show to introduce this upcoming new language feature.
Episode #503: The PyArrow Revolution
Released April 28, 2025
(48 days ago)
Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those internals and you can now optionally use PyArrow. PyArrow comes with a ton of benefits including it's columnar format which makes answering analytical questions faster, support for a range of high performance file formats, inter-machine data streaming, faster file IO and more. Reuven Lerner is here to give us the low-down on the PyArrow revolution.
Episode #502: Django Ledger: Accounting with Python
Released April 21, 2025
(55 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 #498: Algorithms for high performance terminal apps
Released March 24, 2025
(83 days ago)
In this episode, we welcome back Will McGugan, the creator of the wildly popular Rich library and founder of Textualize. We'll dive into Will's latest article on "Algorithms for High Performance Terminal Apps" and explore how he's quietly revolutionizing what's possible in the terminal, from smooth animations and dynamic widgets to full-on TUI (or should we say GUI?) frameworks. Whether you're looking to supercharge your command-line tools or just curious how Python can push the limits of text-based UIs, you'll love hearing how Will's taking a modern, web-inspired approach to old-school terminals.
Episode #488: Multimodal data with LanceDB
Released December 12, 2024
(185 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 #486: CSnakes: Embed Python code in .NET
Released November 22, 2024
(205 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 #483: Reflex Framework: Frontend, Backend, Pure Python
Released October 29, 2024
(229 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
(241 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 #472: State of Flask and Pallets in 2024
Released July 26, 2024
(324 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 #471: Learning and teaching Pandas
Released July 22, 2024
(328 days ago)
If you want to get better at something, often times the path is pretty clear. If you get better at swimming, you go to the pool and practice your strokes and put in time doing the laps. If you want to get better at mountain biking, hit the trails and work on drills focusing on different aspects of riding. You can do the same for programming. Reuven Lerner is back on the podcast to talk about his book Pandas Workout. We dive into strategies for learning Pandas and Python as well as some of his workout exercises.
Episode #470: Python in Medicine and Patient Care
Released July 12, 2024
(338 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 #468: Python Trends Episode 2024
Released July 01, 2024
(349 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 #462: Pandas and Beyond with Wes McKinney
Released May 15, 2024
(1 years 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 #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 #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 #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 #442: Ultra High Speed Message Parsing with msgspec
Released December 14, 2023
(2 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
(2 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
(2 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 #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 #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 #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 #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 #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 #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 #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.
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 #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 #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 #392: Data Science from the Command Line
Released December 02, 2022
(3 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.
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
(3 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 #381: Python Perf: Specializing, Adaptive Interpreter
Released September 16, 2022
(3 years ago)
We are on the edge of a major jump in Python performance. With the work done by the Faster CPython team and Python 3.11 due out in around a month, your existing Python code might see an increase of well over 25% in speed with no changes. One of the main reasons is its new specializing, adaptive interpreter.
This episode is about that new feature and a great tool called Specialist which lets you visualize how Python is speeding up your code and where it can't unless you make minor changes. Its creator, Brandt Bucher is here to tell us all about.
This episode is about that new feature and a great tool called Specialist which lets you visualize how Python is speeding up your code and where it can't unless you make minor changes. Its creator, Brandt Bucher is here to tell us all about.
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 #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 #375: Python Language Summit 2022
Released July 30, 2022
(3 years ago)
Every year, the Python core developers and a few other key players in the Python ecosystem meet to discuss the pressing issues and important advancements at an event called the Python Language Summit. While Python is a community known for openness, this meeting is typically held behind closed doors mostly for efficiency's sake. On this episode, we'll give you a look behind that door. We have Alex Waygood here on this episode to break it down for us and give a look inside the summit.
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 #372: Applied mathematics with Python
Released July 08, 2022
(3 years ago)
Often when we learn about or work with Math, it's done so in a very detached style. You might learn the rules and techniques for differentiation, for example. But how often do you get to apply them to meaningful and interesting problems? In this episode, we have Vince Knight and Geraint Palmer on to discuss solving a wide variety of applied and approachable math problems using Python. Whether you're deeply into math or not so much, I think there is a lot to enjoy from this episode.
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 #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 #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 #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 #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?
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 #344: SQLAlchemy 2.0
Released December 09, 2021
(4 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 #340: Time to JIT your Python with Pyjion?
Released November 10, 2021
(4 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 #339: Making Python Faster with Guido and Mark
Released November 04, 2021
(4 years ago)
There has a been a bunch of renewed interested in making Python faster. While for some of us, Python is already plenty fast. For others, such as those in data science, scientific computing, and even the large tech companies, making Python even a little faster would be a big deal.
This episode is the first of several that dive into some of the active efforts to increase the speed of Python while maintaining compatibility with existing code and packages.
This episode is the first of several that dive into some of the active efforts to increase the speed of Python while maintaining compatibility with existing code and packages.
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.
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.
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 #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 #331: Meet the Python Developer in Residence: Lukasz Langa
Released August 27, 2021
(4 years ago)
Python is a technology and community built upon the goodwill and volunteer time of 1,000s of contributors from the core devs inside CPython to the authors of 100,000s of external packages on PyPI.
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 #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 #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 #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 #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 #294: oso authorizes Python
Released December 07, 2020
(5 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 #288: 10 tips to move from Excel to Python
Released October 31, 2020
(5 years ago)
Excel is one of the most used and most empowering piece of software out there. But that doesn't make it a good fit for every data processing need. And when you outgrow Excel, a really good option for a next step is Python and the data science tech stack: Pandas, Jupyter, and friends.
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 #280: Python and AI in Journalism
Released September 05, 2020
(5 years ago)
If there has ever been a time in history that journalism is needed to shine a light on what's happening in the world, it's now. Would it surprise you to hear that Python and machine learning are playing an increasingly important role in discovering and bringing us the news? On this episode, you'll meet Carolyn Stansky, a journalist and developer who's been researching this intersection.
Released August 21, 2020
(5 years ago)
If there is one message I've been pushing across all of the Talk Python episodes, it's that programming is a superpower. Rather than all of us abandoning what we're interested in and becoming CS majors, we can take our passion or expertise and 10x it with a little programming skill.
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.
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.
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 #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 #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 #242: Your education will be live-streamed
Released December 11, 2019
(6 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
(6 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 #237: A gut feeling about Python
Released November 06, 2019
(6 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 #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 #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 #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 #223: Fun and Easy 2D Games with Python
Released July 30, 2019
(6 years ago)
Have you tried to teach programming to beginners? Python is becoming a top choice for the language, but you still have to have them work with the language and understand core concepts like loops, variables, classes, and more. It turns out, video game programming, when kept simple, can be great for this. Need to repeat items in a scene? There's a natural situation to introduce loops. Move an item around? Maybe make a function to redraw it at a location.
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 #221: Empowering developers by embedding Python
Released July 18, 2019
(6 years ago)
How do we get kids excited about programming? Make programming tangible with embedded devices. Did you know that after kids learned to code with the BBC micro:bit, 90% of kids "thought coding was for everyone" and 86% said it made CS topics more interesting?
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 #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 #207: Parallelizing computation with Dask
Released April 14, 2019
(6 years ago)
What if you could write standard numpy and pandas code but have it run on a distributed computing grid for incredible parallel processing right from Python? How about just splitting it across multiprocessing to escape the limitations of the GIL on your local machine? That's what Dask was built to do.
Episode #204: StaticFrame, like Pandas but safer
Released March 21, 2019
(6 years ago)
Remember back in math class when you would take a test? It wasn't enough to just write down the answer. What's the limit of this infinite summation? pi/2 Yes, but how did you get that number.
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 #188: Async for the Pythonic web with Sanic
Released December 01, 2018
(7 years ago)
What do most web servers do most of the time? They wait. They wait on external systems while processing a request.
Episode #186: 100 Days of Python in a Magical Universe
Released November 16, 2018
(7 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
(7 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 #184: Teaching Python with BBC micro:bit
Released November 02, 2018
(7 years ago)
How can we make learning Python and teaching Python more real for students, especially younger students? The BBC in the UK had a great idea. Make it more physically real with actual devices. That's where Nicholas Tollervey got involved. He helped bring the BBC Micro:bit and Python to millions of kids in the UK.
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 #172: Nuitka: A full Python compiler
Released August 01, 2018
(7 years ago)
Quick, name some ways to make your Python code faster. Did you think PyPy, the JIT-compiled version of Python? Maybe some async and await parallelism? How about Cython where you write in Python-esc language that compiles to machine instructions?
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 #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 #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 #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 #141: Python tricks
Released December 07, 2017
(8 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
(8 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
(8 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
(8 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 #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 #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 #119: Python in Engineering
Released July 06, 2017
(8 years ago)
Think about how you learn most technical or detail-oriented subjects?
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 #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.
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.
Released March 16, 2017
(8 years ago)
This episode we have an optimization 2fer.
Episode #100: Python past, present, and future with Guido van Rossum
Released February 22, 2017
(8 years ago)
Welcome to a very special episode. This is the 100th episode of Talk Python To Me. It's the perfect chance to take a moment and look at where we have come from, and where we are going. Not just with regard to the podcast but for Python in general.
And who better to do this than Python's inventor himself. Guido van Rossum. In this episode, we discuss how Guido go into programming, where Python came from and why, and Python's bright future with Python 3.
And who better to do this than Python's inventor himself. Guido van Rossum. In this episode, we discuss how Guido go into programming, where Python came from and why, and Python's bright future with Python 3.
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.
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 #87: PonyORM: The most Pythonic ORM yet?
Released November 29, 2016
(9 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 #85: Parsing horrible things with Python
Released November 17, 2016
(9 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 #75: Pythonic games at CheckIO
Released September 09, 2016
(9 years ago)
Do you like to play games or solve puzzles? Chances are pretty good that you do. After all, what is programming and software development but one really elaborate puzzle?
Episode #74: Past, Present, and Future of IronPython
Released September 02, 2016
(9 years ago)
Have you heard of IronPython and Jython? These two alternate implementations of Python were created by Jim hugunin. They run on top of the .NET and JVM runtimes. On this episode going to look at the story of IronPython. It's been around for many years. Although the last few years, it's been somewhat stagnant.
That's why I am thrilled to introduce you to Alex Earl, who along with Benedikt Eggers, has become the maintainer of the IronPython project. It's great to see IronPython getting the attention it deserves. We'll talk about IronPython past, present, future on this episode of Talk Python To Me.
That's why I am thrilled to introduce you to Alex Earl, who along with Benedikt Eggers, has become the maintainer of the IronPython project. It's great to see IronPython getting the attention it deserves. We'll talk about IronPython past, present, future on this episode of Talk Python To Me.
Episode #70: Pythonic cover songs at Loudr
Released August 05, 2016
(9 years ago)
Some of the best songs are cover songs of popular music. If you're a musician who wants to create a cover song and actually sell it, you'll be diving deep into complex agreements and legal agreements with record labels. Sounds like no fun to me.
But this is where Python comes to the rescue! The guys and girls over at Loudr are using Python to create a service for creating, selling, and distributing cover songs. This week you'll meet one of the co-founders, Josh Whelchel. He's here to tell us all the cool ways Python makes this possible, including a touch of machine learning!
But this is where Python comes to the rescue! The guys and girls over at Loudr are using Python to create a service for creating, selling, and distributing cover songs. This week you'll meet one of the co-founders, Josh Whelchel. He's here to tell us all the cool ways Python makes this possible, including a touch of machine learning!
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 #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 #60: Scaling Python to 1000's of cores with Ufora
Released May 24, 2016
(9 years ago)
You've heard me talk previously about scaling Python and Python performance on this show. But on this episode I'm bringing you a very interesting project pushing the upper bound of Python performance for a certain class of applications.
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 #49: Microsoft's JIT-based Python Project: Pyjion
Released March 08, 2016
(9 years ago)
This episode you'll learn about a project that has the potential to unlock massive innovation around how CPython understands and executes code. And it's coming from what many of you may consider an unlikely source: Microsoft and the recently open-sourced, cross-platform .NET Core runtime.
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 #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 #44: Project Jupyter and IPython
Released February 02, 2016
(9 years ago)
One of the fastest growing areas in Python is scientific computing. In scientific computing with Python, there are a few key packages that make it special. These include NumPy / SciPy / and related packages. The one that brings it all together, visually, is IPython (now known as Project Jupyter). That's the topic on episode 44 of Talk Python To Me.
Released December 22, 2015
(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 #37: Python Cybersecurity and Penetration Testing
Released December 08, 2015
(10 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 #35: Turbogears and the future of Python web frameworks
Released November 24, 2015
(10 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.
Released November 17, 2015
(10 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 #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.
Released August 25, 2015
(10 years ago)
It's time to look deep within the machine and understand what *really* happens when your Python code executes. We're code-walking through the CPython code and visualizing it at pythontutor.com.
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 #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).