The Real Python Podcast
Python Tips, Interviews, and More
Real Python
Show overview
The Real Python Podcast has been publishing since 2020, and across the 6 years since has built a catalogue of 300 episodes, alongside 1 trailer or bonus episode. That works out to roughly 290 hours of audio in total. Releases follow a weekly cadence.
Episodes typically run thirty-five to sixty minutes — most land between 51 min and 1h 6m — and the run-time is fairly consistent across the catalogue. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-US-language Technology show.
The show is actively publishing — the most recent episode landed yesterday, with 22 episodes already out so far this year. Published by Real Python.
From the publisher
A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community. The show covers a wide range of topics including Python programming best practices, career tips, and related software development topics. Join us every Friday morning to hear what's new in the world of Python programming and become a more effective Pythonista.
Latest Episodes
View all 300 episodesEuroPython 2026: Celebrating 25 Years
Reducing the Size of Python Docker Containers
Improving Python Through PEPs and Protocols
Managing Polars Schema Issues & Profiling GitHub Users
Agentic Architecture: Why Files Aren't Always Enough
Declarative Charts in Python & Discerning Iterators vs Iterables
Agentic Data Science Pair Programming With marimo pair
Becoming a Better Python Developer Through Learning Rust
Reassessing the LLM Landscape & Summoning Ghosts
Advice on Managing Projects & Making Python Classes Friendly
Ep 289Limitations 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.
Ep 288Automate Exploratory Data Analysis & Invent Python Comprehensions
How do you quickly get an understanding of what's inside a new set of data? How can you share an exploratory data analysis with your team? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Ep 287Crafting 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.
Ep 286Overcoming 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.
Ep 285Exploring 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.
Ep 284Running Local LLMs With Ollama and Connecting With Python
Would you like to learn how to work with LLMs locally on your own computer? How do you integrate your Python projects with a local model? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Ep 283Improving Your GitHub Developer Experience
What are ways to improve how you're using GitHub? How can you collaborate more effectively and improve your technical writing? This week on the show, Adam Johnson is back to talk about his new book, "Boost Your GitHub DX: Tame the Octocat and Elevate Your Productivity".
Ep 282Testing Python Code for Scalability & What's New in pandas 3.0
How do you create automated tests to check your code for degraded performance as data sizes increase? What are the new features in pandas 3.0? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Ep 281Continuing to Improve the Learning Experience at Real Python
If you haven't visited the Real Python website lately, then it's time to check out a great batch of updates on realpython.com! Dan Bader returns to the show this week to discuss improvements to the site and more ways to learn Python.
Ep 280Considering Fast and Slow in Python Programming
How often have you heard about the speed of Python? What's actually being measured, where are the bottlenecks---development time or run time---and which matters more for productivity? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.