Declarative Charts in Python & Discerning Iterators vs Iterables

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1. 

   E297 · 29 May 2026 · 1 hr 20 min

   Improving Python Through PEPs and Protocols

   Have you ever been confused by the naming of modules you're importing from a package? Is there a standard way to organize and name your Python virtual environments? This week on the show, Brett Cannon returns to discuss the Python Enhancement Proposals (PEPs) he's been working on recently.

2. 

   E296 · 22 May 2026 · 42 min

   Managing Polars Schema Issues & Profiling GitHub Users

   How can you avoid schema problems in your Polars data pipeline when adding new columns? How can you quickly examine a GitHub user's profile to decide how much to invest in their contributions? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.

3. 

   E295 · 15 May 2026 · 1 hr 24 min

   Agentic Architecture: Why Files Aren't Always Enough

   What are the limitations of using a file-based agent workflow? Why do massive context windows tend to collapse? This week on the show, Mikiko Bazeley from MongoDB joins us to discuss agentic architecture and context engineering.

4. 

   E293 · 1 May 2026 · 1 hr 4 min

   Agentic Data Science Pair Programming With marimo pair

   How do you add agent skills to your data science workflow? How can a coding agent assist with data wrangling and research? This week on the show, Trevor Manz from marimo joins us to discuss marimo pair.

5. 

   E292 · 24 Apr 2026 · 46 min

   Becoming a Better Python Developer Through Learning Rust

   How can learning Rust help make you a better Python Developer? How do techniques required by a compiled language translate to improving your Python code? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.

6. 

   E291 · 17 Apr 2026 · 1 hr 15 min

   Reassessing the LLM Landscape & Summoning Ghosts

   What are the current techniques being employed to improve the performance of LLM-based systems? How is the industry shifting from post-training towards context engineering and multi-agent orchestration? This week on the show, Jodie Burchell, data scientist and Python Advocacy Team Lead at JetBrains, returns to discuss the current AI coding landscape.

7. 

   E313 · 2 Oct 2026 · 44 min

   Python 3.15: Exploring the New Features

   Python 3.15 is (almost*) here! Christopher Trudeau and Bartosz Zaczyński return to discuss the new version. Bartosz coordinated the series of preview articles with members of the Real Python team and wrote the showcase tutorial, "Python 3.15: Cool New Features for You to Try." Christopher's video course "What's New in Python 3.15" covers the topics from the article and shows the new features in action.

8. 

   E312 · 25 Sep 2026 · 1 hr 8 min

   Navigating AI in Open Source: Insights From Wagtail

   How should you manage AI contributions to an open-source project? How do you measure the impact of using AI tools for development, and what generative features do end users want from a content management system? This week on the show, we speak with Thibaud Colas and Meagen Voss from Wagtail about the complex considerations software organizations are currently facing.

9. 

   E311 · 11 Sep 2026 · 47 min

   Django Developers Survey Results & Reproducible Python Builds

   What are the latest trends uncovered in the 2026 Django Developers Survey? How are Django users employing LLMs in their development process? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.

10. 

    E310 · 4 Sep 2026 · 1 hr 17 min

    Performance Engineering: Profiling and Making Apps Fast by Default

    How do you plan for the performance of your Python applications? What does a performance budget entail, and where should you spend your resources? This week on the show, we speak with Den Odell about his new book "Fast by Default: Practical Performance Engineering."

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