The Real Python Podcast
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.
Episodes
Codemoo: Demonstrating How Coding Agents Work
How do you assemble the core pieces of a coding agent? How are developers defining projects through conversation and introspection? This week on the show, Geir Arne Hjelle returns to talk about his recent project to demonstrate how coding agents work under the hood.
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 ac
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.
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.
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."
Exploring Complex Systems & Maintainable Data Science Pipelines
What are the key characteristics of complex systems, and what are practical patterns for tackling complex coding problems? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Navigating Silent Failures in AI: Strategies for Effective Oversight
Why do AI systems silently fail? How can you set up a system that produces results while also reviewing and validating the work? This week on the show, Calvin Hendryx-Parker returns to discuss his recent talk "Orchestrate Agentic AI: Context, Checklists, and No-Miss Reviews."
Improving NumPy Performance on Free-Threaded Python
What bottlenecks were preventing NumPy from scaling on free-threaded Python? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Programmatically Developing LLM Prompts With DSPy
How can you move from manually writing prompts for an LLM application toward defining them programmatically? This week on the show, Brett Kennedy returns to discuss his new book "Building LLM Applications with DSPy."
Should You Understand Your Entire Python Codebase?
Should you understand the entirety of your codebase? How familiar are you with Python's built-in functions? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Configuring a Versatile LLM Harness & Scraping the Web With Scrapy
Which is more important, the model or the "harness" around an LLM? What are ways to assemble an efficient agentic developer workflow? This week on the show, Ayan Pahwa joins us to discuss harnessing, web scraping, and self-hosting Python applications.
Free-Threaded Python's History & uv in Production
How many attempts have been made to remove Python's Global Interpreter Lock (GIL)? How do they compare to the current approach? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Constructing and Judging Modern Agentic Workflows
How can you improve your LLM agent systems through specification enrichment? What are the advantages of having an LLM act as a judge within an agent system? This week on the show, Senior IEEE Member and Quality Engineer Suneet Malhotra joins us to discuss building and evaluating agentic architecture.
Running Python Locally in a Sandbox
How do you avoid the risk of running a Python application locally that could be malicious, break your code, or leak private data? How can you create a sandboxed local environment using WASM and MicroPython? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
Maintaining Your Python Developer Instincts While Using LLM Tools
Do you feel like your Python skills are atrophying after using LLM coding tools? How do you add the right kind of friction into your coding routine to keep your developer instincts sharp? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
EuroPython 2026: Celebrating 25 Years
What's happening at EuroPython 2026? The conference celebrates its 25th anniversary this year in Kraków, Poland. This week on the show, organizers Mia Bajić and Daria Linhart Grudzien join me to discuss this year's conference.
Reducing the Size of Python Docker Containers
How can you easily reduce the size of a Python Docker container? What are the exceptions you should catch in your code? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
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.
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.
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.
Declarative Charts in Python & Discerning Iterators vs Iterables
What if you could build charts in Python by describing what your data means, instead of scripting every visual detail? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
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.
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.
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.
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.
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.
Automate 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.
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.
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.
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.
Running 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.
Improving 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".
Testing 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.
Continuing 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.
Considering 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.
Coding Python With Confidence: Beginners Live Course Participants
Are you looking for that solid foundation to begin your Python journey? Would the accountability of scheduled group classes help you get through the basics and start building something? This week, two members of the Python for Beginners live course discuss their experiences.
PyCoder's Weekly 2025 Top Articles & Hidden Gems
PyCoder's Weekly included over 1,500 links to articles, blog posts, tutorials, and projects in 2025. Christopher Trudeau is back on the show this week to help wrap up everything by sharing some highlights and uncovering a few hidden gems from the pile.
Moving Towards Spec-Driven Development
What are the advantages of spec-driven development compared to vibe coding with an LLM? Are these recent trends a move toward declarative programming? This week on the show, Marc Brooker, VP and Distinguished Engineer at AWS, joins us to discuss specification-driven development and Kiro.
Exploring Quantum Computing & Python Frameworks
What are the recent advances in the field of quantum computing and high-performance computing? And what Python tools can you use to develop programs that run on quantum computers? This week on the show, Real Python author Negar Vahid discusses her tutorial, "Quantum Computing Basics With Qiskit."
Building a FastAPI Application & Exploring Python Concurrency
What are the steps to get started building a FastAPI application? What are the different types of concurrency available in Python? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Preparing Data Science Projects for Production
How do you prepare your Python data science projects for production? What are the essential tools and techniques to make your code reproducible, organized, and testable? This week on the show, Khuyen Tran from CodeCut discusses her new book, "Production Ready Data Science."
Advice for Writing Maintainable Python Code
What are techniques for writing maintainable Python code? How do you make your Python more readable and easier to refactor? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Michael Kennedy: Managing Your Own Python Infrastructure
How do you deploy your Python application without getting locked into an expensive cloud-based service? This week on the show, Michael Kennedy from the Talk Python podcast returns to discuss his new book, "Talk Python in Production."
Benchmarking Python 3.14 & Enabling Asyncio to Scale
How does Python 3.14 perform under a few hand-crafted benchmarks? Does the performance of asyncio scale on the free-threaded build? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Evolving Teaching Python in the Classroom
How is teaching young students Python changing with the advent of LLMs? This week on the show, Kelly Schuster-Paredes from the Teaching Python podcast joins us to discuss coding and AI in the classroom.
Python 3.14: Exploring the New Features
Python 3.14 is here! Christopher Trudeau returns to discuss the new version with Real Python team member Bartosz Zaczyński. This year, Bartosz coordinated the series of preview articles with members of the Real Python team and wrote the showcase tutorial, "Python 3.14: Cool New Features for You to Try." Christopher's video course, "What's New in Python 3.14", covers the topics from the article and
Advice on Beginning to Learn Python
What's changed about learning Python over the last few years? What new techniques and updated advice should beginners have as they start their journey? This week on the show, Stephen Gruppetta and Martin Breuss return to discuss beginning to learn Python.
Managing Feature Flags & Comparing Python Visualization Libraries
What's a good way to enable or disable code paths without redeploying the software? How can you use feature flags to toggle functionality for specific users of your application? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Dangers of Automatically Converting a REST API to MCP
When converting an existing REST API to the Model Context Protocol, what should you consider? What anti-patterns should you avoid to keep an AI agent’s context clean? This week on the show, Kyle Stratis returns to discuss his upcoming book, "AI Agents with MCP".
Python App Hosting Choices & Documenting Python's History
What are your options for hosting your Python application or scripts? What are the advantages of a platform as a service, container-based hosts, or setting up a virtual machine? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Large Language Models on the Edge of the Scaling Laws
What's happening with the latest releases of large language models? Is the industry hitting the edge of the scaling laws, and do the current benchmarks provide reliable performance assessments? This week on the show, Jodie Burchell returns to discuss the current state of LLM releases.
Exploring Mixin Classes in Python
What is a good way to add isolated, reusable functionality to Python classes? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Travis Oliphant: SciPy, NumPy, and Fostering Scientific Python
What went into developing the open-source Python tools data scientists use every day? This week on the show, we talk with Travis Oliphant about his work on SciPy, NumPy, Numba, and many other contributions to the Python scientific community.
Selecting Inheritance or Composition in Python
When considering an object-oriented programming problem, should you prefer inheritance or composition? Why wouldn't it just be simpler to use functions? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Harnessing the Power of Python Polars
What are the advantages of using Polars for your Python data projects? When should you use the lazy or eager APIs, and what are the benefits of each? This week on the show, we speak with Jeroen Janssens and Thijs Nieuwdorp about their new book, _Python Polars: The Definitive Guide_.
Design Patterns That Don't Translate to Python
Do the design patterns learned in other programming languages translate to coding in Python? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Supporting the Python Package Index
What goes into supporting more than 650,000 projects and nearly a million users of the Python Package Index? This week on the show, we speak with Maria Ashna about her first year as the inaugural PyPI Support Specialist.
Comparing Real-World Python Performance Against Big O
How does the performance of an algorithm hold up when you put it into a realistic context? Where might Python code defy Big O notation expectations when using a profiler? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Solving Problems and Saving Time in Chemistry With Python
What motivates someone to learn how to code as a scientist? How do you harness the excitement of solving problems quickly and make the connection to the benefits of coding in your scientific work? This week on the show, we speak with Ben Lear and Christopher Johnson about their book "Coding For Chemists."
Structuring Python Scripts & Exciting Non-LLM Software Trends
What goes into crafting an effective Python script? How do you organize your code, manage dependencies with PEP 723, and handle command-line arguments for the best results? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Scaling Python Web Applications With Kubernetes and Karpenter
What goes into scaling a web application today? What are resources for learning and practicing DevOps skills? This week on the show, Calvin Hendryx-Parker is back to discuss the tools and infrastructure for autoscaling web applications with Kubernetes and Karpenter.
Starting With marimo Notebooks & Python App Config Management
Looking for a guide on getting started with marimo notebooks? How do you build a reproducible notebook for sharing or create a dashboard with interactive UI elements? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Rodrigo Girão Serrão: Python Training, itertools, and Idioms
Once you've learned the vocabulary and syntax of the Python language, how do you progress into learning the right combinations to put into your code? How can Python's built-in itertools library enhance your skills? This week on the show, we speak with Rodrigo Girão Serrão about teaching Python through his blog and his passion for the itertools library.
Python Thread Safety & Managing Projects With uv
What are the ways you can manage multithreaded code in Python? What synchronization techniques are available within Python's threading module? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
DjangoCon Europe 2025: Live Recording From Dublin
What goes into making video courses at Real Python? How should you build an installable Django application? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Going Beyond requirements.txt With pylock.toml and PEP 751
What is the best way to record the Python dependencies for the reproducibility of your projects? What advantages will lock files provide for those projects? This week on the show, we welcome back Python Core Developer Brett Cannon to discuss his journey to bring PEP 751 and the pylock.toml file format to the community.
Experiments With Gen AI, Knowledge Graphs, Workflows, and Python
Are you looking for some projects where you can practice your Python skills? Would you like to experiment with building a generative AI app or an automated knowledge graph sentiment analysis tool? This week on the show, we speak with Raymond Camden about his journey into Python, his work in developer relations, and the Python projects featured on his blog.
Exploring DuckDB & Comparing Python Expressions vs Statements
Are you looking for a fast database that can handle large datasets in Python? What's the difference between a Python expression and a statement? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Learning Intermediate Python With a Deep Dive Course
Do you want to learn deeper concepts in Python? Would the accountability of scheduled group classes help you get past the basics? This week, five Real Python Intermediate Deep Dive workshop members discuss their experiences.
GUIs & TUIs: Choosing a User Interface for Your Python Project
What are the current Python graphical user interface libraries? Should you build everything in the terminal and create a text-based user interface instead? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
A Decade of Automating the Boring Stuff With Python
What goes into updating one of the most popular books about working with Python? After a decade of changes in the Python landscape, what projects, libraries, and skills are relevant to an office worker? This week on the show, we speak with previous guest Al Sweigart about the third edition of "Automate the Boring Stuff With Python."
Manage Projects With pyproject.toml & Explore Polars LazyFrames
How can you simplify the management of your Python projects with one file? What are the advantages of using LazyFrames in Polars? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Eric Matthes: Maybe Don't Start With Unit Tests
Should you always start testing your code with unit tests? When does it make sense to look at integration or end-to-end testing as a first step instead? This week on the show, we speak with previous guest Eric Matthes about where to begin testing your code.
Deciphering Python Jargon & Compiling Python 1.0
How do you learn the terms commonly used when speaking about Python? How is the jargon similar to other programming languages? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Telling Effective Stories With Your Python Visualizations
How do you make compelling visualizations that best convey the story of your data? What methods can you employ within popular Python tools to improve your plots and graphs? This week on the show, Matt Harrison returns to discuss his new book "Effective Visualization: Exploiting Matplotlib & Pandas."
Behavior-Driven vs Test-Driven Development & Using Regex in Python
What is behavior-driven development, and how does it work alongside test-driven development? How do you communicate requirements between teams in an organization? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Charlie Marsh: Accelerating Python Tooling With Ruff and uv
Are you looking for fast tools to lint your code and manage your projects? How is the Rust programming language being used to speed up Python tools? This week on the show, we speak with Charlie Marsh about his company, Astral, and their tools, uv and Ruff.
Testing Your Python Code Base: Unit vs. Integration
What goes into creating automated tests for your Python code? Should you focus on testing the individual code sections or on how the entire system runs? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Simon Willison: Using LLMs for Python Development
What are the current large language model (LLM) tools you can use to develop Python? What prompting techniques and strategies produce better results? This week on the show, we speak with Simon Willison about his LLM research and his exploration of writing Python code with these rapidly evolving tools.
Principles for Considering Your Python Tooling
What are the principles you should consider when making decisions about which Python tools to use? What anti-patterns get in the way of making the right choices for your team? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
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