Real Python

Interactive Quiz ⋅ 12 Questions By Joseph Peart 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 named entities, and how to analyze text with concordances, dispersion plots, frequency distributions, and collocations.

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 what makes it faster. By the end of this tutorial, you’ll understand that: Python 3.15 improved the experimental JIT compiler that you opt into with PYTHON_JIT=1.

Interactive Quiz ⋅ 12 Questions By Joseph Peart 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 3.15 faster, and decide which workloads benefit most from turning the JIT on. The quiz contains 12 questions and there is no time limit.

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 following best practices such as descriptive naming, consistent coding style, modular design, and robust error handling. To help you with all this, you can use tools such as linters, formatters, and profilers.

Interactive Quiz ⋅ 10 Questions By Joseph Peart 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 the right data structures, and how to keep your code secure. The quiz contains 10 questions and there is no time limit.

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-language prompts. For Python developers who feel at home on the command line, it offers a quick way to plan tasks, edit files, and run agentic workflows without leaving the shell.

Interactive Quiz ⋅ 12 Questions By Joseph Peart 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 between AI models without leaving your terminal. The quiz contains 12 questions and there is no time limit. You’ll get 1 point for each correct answer.

2 Days • Live Course Stop copy-pasting from ChatGPT. Learn to build Python projects with an AI agent that lives inside your codebase. Hosted By Philipp Acsany Real Python core team member. Works with coding agents daily to build tools, automate workflows, and ship Python projects. Last Tuesday, a Python dev named Marco spent 45 minutes arguing with ChatGPT about a bug in his Flask app… He pasted the traceback. It gave him a fix. The fix broke something in a file it didn’t know about.

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 work include sending welcome emails, processing image uploads, and generating monthly reports.

Interactive Quiz ⋅ 8 Questions By Joseph Peart 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. The quiz contains 8 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score.