Anmelden
Cover von The Real Python Podcast

Technologie

The Real Python Podcast

von Real Python

Website RSS

Folgenzu den neuesten

  1. Crafting and Editing In-Depth Tutorials at Real Python

    <p>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 Ph

  2. Overcoming Testing Obstacles With Python's Mock Object Library

    <p>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

  3. Exploring MCP Apps & Adding Interactive UIs to Clients

    <p>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.

  4. Running Local LLMs With Ollama and Connecting With Python

    <p>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 a

  5. Improving Your GitHub Developer Experience

    <p>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 Octoca

  6. Testing Python Code for Scalability & What's New in pandas 3.0

    <p>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 artic

  7. Continuing to Improve the Learning Experience at Real Python

    <p>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.</p>

  8. Considering Fast and Slow in Python Programming

    <p>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, bringi

  9. Coding Python With Confidence: Beginners Live Course Participants

    <p>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

  10. PyCoder's Weekly 2025 Top Articles & Hidden Gems

    <p>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

  11. Moving Towards Spec-Driven Development

    <p>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

  12. Exploring Quantum Computing & Python Frameworks

    <p>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 dis

  13. Building a FastAPI Application & Exploring Python Concurrency

    <p>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

  14. Preparing Data Science Projects for Production

    <p>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 b

  15. Advice for Writing Maintainable Python Code

    <p>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 projec

  16. Michael Kennedy: Managing Your Own Python Infrastructure

    <p>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.”</p>

  17. Benchmarking Python 3.14 & Enabling Asyncio to Scale

    <p>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 an

  18. Evolving Teaching Python in the Classroom

    <p>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.</p> <p>Kelly shares her current th

  19. Python 3.14: Exploring the New Features

    <p>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

  20. Advice on Beginning to Learn Python

    <p>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 beginnin

  21. Managing Feature Flags & Comparing Python Visualization Libraries

    <p>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

  22. Dangers of Automatically Converting a REST API to MCP

    <p>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 bo

  23. Python App Hosting Choices & Documenting Python's History

    <p>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

  24. Large Language Models on the Edge of the Scaling Laws

    <p>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 retur

  25. Exploring Mixin Classes in Python

    <p>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.</p> <p>Christopher covers a recent Real Py

  26. Travis Oliphant: SciPy, NumPy, and Fostering Scientific Python

    <p>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 commun

  27. Selecting Inheritance or Composition in Python

    <p>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

  28. Harnessing the Power of Python Polars

    <p>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 ne

  29. Design Patterns That Don't Translate to Python

    <p>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.</p> <p>Christopher dives in

  30. Supporting the Python Package Index

    <p>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.</p> <p>Maria has

Ältere Folgen

Anmelden oder registrieren

Jetzt

0:00 / 0:00