Learn how to integrate your Python projects with local models (LLMs) using Ollama for enhanced privacy and cost efficiency.

   Check your understanding of using Ollama with Python to run local LLMs, generate text, chat, and call tools for private, offline apps.

   Choosing between uv vs pip? This video course compares speed, reproducible environments, compatibility, and dependency management to help you pick the right tool.

   Learn how to use the ChatGPT Python API with the openai library to build AI-powered features in your Python applications.

   Test your knowledge of the ChatGPT API in Python. Practice sending prompts with openai and handling text and code responses in this quick quiz.

   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...

   Learn how to create a Django project and app in clear, guided steps. Use it as a reference for any future Django project and tutorial you'll work on.

   Check your Django setup skills. Install safely and pin requirements, create a project and an app. Start building your first site.

   Learn Python OOP fundamentals fast: master classes, objects, and constructors with hands-on lessons in this beginner-friendly video course.

   Use a Python deque to efficiently append and pop elements from both ends of a sequence, build queues and stacks, and set maxlen for history buffers.

   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.

   Learn how to create a personalized Python learning roadmap. Set goals, choose resources, and build a plan to track your progress and stay motivated.

   Learn Cursor fast: AI powered coding with agents, project aware chat, and inline edits for a VS Code workflow that ships smarter, sooner.

   Pick from the best Python tutorials and courses of 2025. Revisit core skills, 3.14 updates, AI coding tools, and project walkthroughs. Kickstart your 2026

   Practice proper Python indentation. Take a quiz on using spaces, editor settings, and autoformatting correctly.

   Decode bytes into readable strings in Python. Test your skills working with data from files, APIs, and databases.

   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.

   Learn how to set up LlamaIndex, choose an LLM, load your data, build and persist an index, and run queries to get grounded, reliable answers with examples.

   Take this Python LlamaIndex quiz to test your understanding of index persistence, reloading, and performance gains in RAG applications.

   Master taking user input in Python to build interactive terminal apps with clear prompts, solid error handling, and smooth multi-step flows.

   Test your understanding of recursion in Python, including base cases, recursive structure, performance considerations, and common use cases.

   Learn how to apply SOLID design principles in Python and build maintainable, reusable, and testable object-oriented code.

   Test your Python understanding of Liskov substitution, Square-Rectangle pitfalls, and safer API design with polymorphism.

   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.

   Build a focused learning plan that helps you identify essential Python skills, assess your strengths, and practice effectively to progress.

   Learn to build async iterators and iterables in Python to handle async operations efficiently and write cleaner, faster code.

   If you're a Python library developer looking to write DataFrame-agnostic code, this tutorial will show how the Narwhals library could give you a solution.

   If you're a Python library developer wondering how to write DataFrame-agnostic code, the Narwhals library is the solution you're looking for.

   Test inner functions, closures, nonlocal, and decorators in Python. Build confidence and learn to keep state across calls. Try the quiz now.

   Boost your Python skills with a quick dive into functional programming: what it is, how Python supports it, and why it matters.

   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.

   Learn pandas DataFrames: explore, clean, and visualize data with powerful tools for analysis. Delete unneeded data, import data from a CSV file, and more.

   Learn to set up and use Claude Code for Python projects: install, run commands, and integrate with Git.

   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.

   Learn how Python’s break lets you exit for and while loops early, with practical demos from simple games to everyday data tasks.

   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.

   Operators let you combine objects to create expressions that perform computations -- the core of how Python works.

   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.