Automate Exploratory Data Analysis & Invent Python Comprehensions

More from The Real Python Podcast

1. 

   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.

2. 

   E290 · 10 Apr 2026 · 55 min

   Advice on Managing Projects & Making Python Classes Friendly

   What goes into managing a major project? What techniques can you employ for a project that's in crisis? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.

3. 

   E289 · 27 Mar 2026 · 51 min

   Limitations in Human and Automated Code Review

   With the mountains of Python code that it's possible to generate now, how's your code review going? What are the limitations of human review, and where does machine review excel? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.

4. 

   E287 · 13 Mar 2026 · 1 hr 21 min

   Crafting and Editing In-Depth Tutorials at Real Python

   What goes into creating the tutorials you read at Real Python? What are the steps in the editorial process, and who are the people behind the scenes? This week on the show, Real Python team members Martin Breuss, Brenda Weleschuk, and Philipp Acsany join us to discuss topic curation, review stages, and quality assurance.

5. 

   E286 · 27 Feb 2026 · 40 min

   Overcoming Testing Obstacles With Python's Mock Object Library

   Do you have complex logic and unpredictable dependencies that make it hard to write reliable tests? How can you use Python's mock object library to improve your tests? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.

6. 

   E285 · 20 Feb 2026 · 1 hr 9 min

   Exploring MCP Apps & Adding Interactive UIs to Clients

   How can you move your MCP tools beyond plain text? How do you add interactive UI components directly inside chat conversations? This week on the show, Den Delimarsky from Anthropic joins us to discuss MCP Apps and interactive UIs in MCP.

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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