In this quiz, you’ll test your understanding of Understanding Mixin Classes in Python. By working through this quiz, you’ll revisit how to write reusable mixin classes, tell them apart from abstract base classes, and steer clear of common pitfalls. Mixins let you share behavior across unrelated clas...

LangGraph is a versatile Python framework designed for stateful, cyclic, and multi-actor Large Language Model (LLM) applications. LangGraph builds upon its parent library, LangChain, and allows you to build sophisticated workflows that can handle the complexities of real-world LLM applications. Thro...

By working through this quiz, you’ll revisit how to build LLM workflows and agents in LangGraph, and how LangGraph expands upon LangChain’s capabilities. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to lea...

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...

In this quiz, you’ll test your understanding of Build Enumerations of Constants With Python’s Enum. By working through this quiz, you’ll revisit how to create enumerations by subclassing Enum or using its functional API, how to access and compare members, and how specialized types like IntEnum and I...

When you work on a local Python project, tracking your changes with Git is a great way to maintain a history of your code. However, keeping your repository only on your computer leaves your work vulnerable to hardware failures and makes collaboration difficult. By learning how to use GitHub, you can...

In this quiz, you’ll test your understanding of How to Use GitHub. By working through this quiz, you’ll revisit the core workflow for getting a local project onto GitHub: creating an empty remote repository, connecting it with git remote add, pushing your code, and collaborating through pull request...

Building an MCP client in Python is a great way to test MCP servers directly from your terminal. In this video course, you’ll build a minimal MCP client for the command line. It can connect to an MCP server through the standard input/output (stdio) transport, list the server’s capabilities, and inte...

In this quiz, you’ll test your understanding of the video course Testing MCP Servers With a Python MCP Client. By working through it, you’ll revisit how to build a minimal command-line MCP client, connect it to a server through the stdio transport, and use a CLI to list, call, and inspect a server’s...

Python’s experimental JIT compiler has been riding along in CPython’s main branch since Python 3.13. It’s off by default and easy to forget about. In June, the Steering Council decided that the JIT needs a proper standards-track PEP, and it set a six-month clock to make that happen. Otherwise, the J...

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 arti...

In this quiz, you’ll test your understanding of the Python Interfaces: Object-Oriented Design Principles video course. By working through this quiz, you’ll revisit how to model interfaces in Python, including informal interfaces and duck typing, custom metaclasses, and formal interfaces built with t...

In this quiz, you’ll test your understanding of Natural Language Processing With Python’s NLTK Package. By working through these questions, you’ll revisit how to preprocess text by tokenizing, filtering stop words, stemming, and lemmatizing, how to tag parts of speech, chunk phrases, and recognize n...

Python 3.15 sharpens the experimental Just-In-Time (JIT) compiler. It adds a new tracing frontend, basic register allocation, in-place int and float operations, tighter machine code, and more. In this tutorial, you’ll learn how to enable and benchmark the 3.15 JIT on your own machine and explore wha...

In this quiz, you’ll test your understanding of Python 3.15 Preview: Upgraded JIT Compiler. By working through this quiz, you’ll revisit how to enable the experimental JIT compiler and confirm that it’s running. You’ll also recall what the optimizer does, explore the main upgrades that make Python 3...

Producing high-quality Python code involves using appropriate tools and consistently applying best practices. High-quality code is functional, readable, maintainable, efficient, and secure. It adheres to established standards and has excellent documentation. You can achieve these qualities by follow...

In this quiz, you’ll test your understanding of the Managing and Measuring Python Code Quality course. By working through this quiz, you’ll revisit what separates high-quality code from code that merely works. You’ll cover how to make code functional, readable, efficient, and reusable, how to pick t...

The GitHub Copilot CLI brings AI-assisted coding into your terminal. Unlike the older gh copilot extension, which only suggests and explains shell commands, Copilot CLI is a standalone agentic app that answers questions, writes and debugs code, and interacts with GitHub.com services through natural-...

In this quiz, you’ll test your understanding of How to Get Started With the GitHub Copilot CLI. By working through this quiz, you’ll revisit how to install and authenticate the CLI, run one-shot and interactive prompts, use slash commands and agent modes, delegate work to subagents, and switch betwe...

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. ...

Most Django apps eventually need to defer slow work outside the request-response cycle. Django Tasks, the new built-in framework in Django 6.0, gives you a standard way to push that work onto a background worker instead of a view function that keeps a user’s browser waiting. Common examples of such ...

In this quiz, you’ll test your understanding of Django Tasks: Exploring the Built-in Tasks Framework. By working through this quiz, you’ll revisit how to define a task with the @task decorator, enqueue it onto a background worker, check its result, and split fast and slow work across named queues. [...

Discover how to use LlamaIndex with practical examples. This framework helps you build retrieval-augmented generation (RAG) apps using Python. LlamaIndex lets you load your data and documents, create and persist searchable indexes, and query an LLM using your data as context. In this course, you’ll ...

In this quiz, you’ll test your understanding of the Using LlamaIndex for RAG in Python course. By working through this quiz, you’ll revisit how RAG retrieves context to ground an LLM’s answers, how to load and index your own data, how to query it through a query engine, and why persisting your index...

Data analysis is a broad term that covers a wide range of techniques for revealing insights and relationships in raw data. Data analysis with Python has become a default workflow in industry, thanks to a mature ecosystem of libraries like pandas, NumPy, Matplotlib, and scikit-learn. Once you’ve anal...

In this quiz, you’ll test your understanding of Using the Python zip() Function for Parallel Iteration. By working through these questions, you’ll revisit how zip() pairs up elements from multiple iterables, how to handle iterables of unequal length, and how to combine zip() with dict() and sorted()...

In this quiz, you’ll test your understanding of Sorting a Python Dictionary: Values, Keys, and More. By working through this quiz, you’ll revisit using sorted() with lambdas and itemgetter() to sort dictionaries by keys, by values, or by nested attributes. You’ll also weigh the trade-offs of choosin...

Context engineering is the practice of curating the content that goes into an AI agent’s context window. In Python projects, that may mean pinning your dependency manager in an instruction file, trimming irrelevant history, delegating heavy tasks to subagents, and more. By the end of this tutorial, ...

In this quiz, you’ll test your understanding of Context Engineering for Python Codebases. By working through this quiz, you’ll revisit the layers of an agent’s context window and the four strategies for managing it: Curate, Distill, Delegate, and Externalize. These ideas apply to any modern AI codin...

When you’re learning Python, the sheer volume of topics to explore can feel overwhelming because there’s so much you could focus on. Should you dive into web frameworks before exploring data science? Is test-driven development something you need right away? And which skills actually matter to employ...