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Episode
Released July 14, 2025 (321 days ago)
Why do people listen to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story behind them. If that speaks to you, then I have the perfect episode lined up. I have Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon all back on the show to share stories from the history of Python. You'll hear about how import this came to be and how the first PyCon had around 30 attendees (two of whom are guests on this episode!). Sit back and enjoy the humorous stories from Python's past.
Episode
Released January 26, 2022 (4 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
Released November 04, 2021 (5 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.
Episode
Released January 11, 2021 (5 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
Released December 28, 2020 (5 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
Released August 12, 2019 (7 years ago)
Have you heard that Python is not good for writing concurrent asynchronous code? This is generally a misconception. But there is one class of parallel computing that Python is not good at: CPU bound work running the Python layer.
Episode
Released April 28, 2019 (7 years ago)
We all got a bit of a shock to the system when Guido van Rossum decided to step down as the leader and top decider of the Python language and CPython runtime. This happened due to many factors but was precipitated by the so-called walrus operator (PEP 572).
Episode
Released April 21, 2019 (7 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
Released December 26, 2018 (7 years ago)
It's been a fantastic year for Python. Literally, every year is better than the last with so much growth and excitement in the Python space. That's why I've asked two of my knowledgeable Python friends, Dan Bader and Brian Okken, to help pick the top 10 stories from the Python community for 2018.
Episode
Released October 02, 2018 (8 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
Released September 30, 2018 (8 years ago)
The Python Language Summit is a yearly gathering of around 40 or 50 developers from CPython, other Python implementations, and related projects. It is held on the first day of PyCon. Many of the decisions driving Python forward are made at this summit. On this episode you'll meet Mariatta Wijaya, Ɓukasz Langa and Brett Cannon, three well-known core devs to walk us through the major topics of this year's summit.
Episode
Released July 20, 2018 (8 years ago)
This past week we have had a passing of the reigns for Python leadership. Guido van Rossum who created and has been shepherding the language for 30 years has stepped down from decision making around the Python language.


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