The Real Python Podcast
Subscribed: 3,688Played: 117,732
Subscribe
© 2020 Real Python
Description
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.
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.
283 Episodes
Reverse
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.
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.
1How 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.
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 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.
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.
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."
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.
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."
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.
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."
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.
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 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 shows the new features in action.
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.
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.
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".
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.
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.
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.
Download from Google Play
Download from App Store
United States
I really enjoyed listening to this conversation. This podcast introduced me to Marimo Notebook and taught me several new things. Thank you — it was a truly valuable Python podcast.
Thank you! You are the best... :)
🔴WATCH>>ᗪOᗯᑎᒪOᗩᗪ>>👉https://co.fastmovies.org
🔴💚Really Amazing ️You Can Try This💚WATCH💚ᗪOᗯᑎᒪOᗩᗪ👉https://co.fastmovies.org
Hello! I'll give a quick tip for those who are testing the CoolUtils PDF combine on the site "https://www.coolutils.com/PDFCombine": save the merged file lists! This is a handy feature, especially when you're collecting documents from different folders, and it makes the process much smoother. Now this is the only program I use, it really simplifies my work!
In business, PDF files are used all the time, and if you don't find convenient tools for working with PDF files, then it will take a lot of time. Among the different options, I can recommend this site https://pdfflex.com/ , where you can immediately get all the tools for working with pdf for free. You can easily compress a PDF document, merge multiple pages, sign a document, and so on.
perfect
Before embarking on a new project, you should evaluate which language or framework is best for you to achieve the desired result. Python Django helps to implement collapsible projects and create a functional website, besides, now you can easily find experts in this field here https://coaxsoft.com/development-services/django-development-services
Great! 🫶
I'm listening to this podcast for the first time . I'm really liking the content, delivery, and style. It's engaging. Not too fast and not too slow.
Great episode! Really spoke to me, especially being a beginner looking to gradually transition from Excel.
this guest was great!
I love it very much, very helpful
tanks