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Talk Python To Me

A podcast on Python and related technologies


Latest episode:
#495 OSMnx: Python and OpenStreetMap

On this episode, I’m joined by Dr. Jeff 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 Jeff’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.
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Geoff Boeing
Geoff Boeing

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Upcoming episodes

Calvin Hendryx-Parker
Calvin Hendryx-Parker
(up next)
Scaf: Complete blueprint for new Python Kubernetes projects

Today we explore the wild world of Python deployment with my friend, Calvin Hendricks-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.

Brett Kennedy
Brett Kennedy
(and then)
Outlier Detection with Python

Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week on Talk Python to Me, we dive into the world of outlier detection with Python with Brett Kennedy. You’ll learn how outliers can signal errors, highlight novel insights, or even reveal hidden patterns lurking in the data you thought you understood. We’ll explore fresh research developments, practical use cases, and how outlier detection compares to other core data science tasks like prediction and clustering. If you're ready to spot those game-changing anomalies in your own projects, stay tuned.

Will McGugan
Will McGugan
(finally)
Algorithms for high performance terminal apps

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.

What listeners think

Great content. Great host.
The host is interesting and funny. The guests have been very interesting. The audio quality is pro level. Highly recommended.
Peter Hill
Every time I learn something new
Every time I listen to a Michael Kennedy Podcast, I learn something new. It’s so educational just hearing the interviews. Genuinely going in depth about different subjects in the world of coding - from a Python perspective. Great guest! So much insight. 💙
df6148
Great listen
Interesting guests, host does a great job moderating and leading the conversation. Awesome for both advanced and beginner Python users.
TX 4ever
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Michael Kennedy
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Michael Kennedy

More about Talk Python to Me

Talk Python to Me is a weekly podcast hosted by Michael Kennedy. The show covers a wide array of Python topics as well as many related topics.

The format is a casual 1-hour conversation with industry experts.

Have feedback for the show? Send it to contact@talkpython.fm. We'd love to hear from you.

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We are always on the look out for exciting topics to bring to you on Talk Python To Me. We could use your help!

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