Interactive Quiz ⋅ 11 QuestionsBy Martin Breuss Share Sharpen your sense of where Python fits. You’ll revisit web frameworks, CLIs and TUIs, GUIs, data work, and robotics. Use hints when stuck, then read the explanations. For a quick big-picture refresher, watch What Can You Do With Python?. The quiz contains 11 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. The maximum score […]

Interactive Quiz ⋅ 6 QuestionsBy Martin Breuss Share Want to revisit different ways to run Python code interactively? In this quiz, you’ll review concepts such as using the REPL, executing scripts, and working within IDEs. Before starting, make sure you’ve gone through the Ways to Start Interacting With Python course to get the most from these questions. The quiz contains 6 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of […]

Interactive Quiz ⋅ 4 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of Python 3.14 Preview: REPL Autocompletion and Highlighting. With these skills, you’ll be able to take advantage of smarter autocompletion in import statements, real-time syntax highlighting, and even customize or disable the colors to fit your workflow. The quiz contains 4 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 […]

Python 3.14 introduces improvements to its interactive shell (REPL), bringing a more modern, colorful, and user-friendly environment. The new features make the Python 3.14 REPL a powerful tool for experimentation. Whether you’re testing a quick idea, exploring a new library, or debugging a tricky snippet, the REPL gives you instant feedback—no files, no setup, just type and run. The default CPython REPL intentionally kept things minimal. It was fast, reliable, and available everywhere, but it lacked the richer, more ergonomic […]

The uv tool is a high-speed package and project manager for Python. It’s written in Rust and designed to streamline your workflow. It offers fast dependency installation and integrates various functionalities into a single tool. With uv, you can install and manage multiple Python versions, create virtual environments, efficiently handle project dependencies, reproduce working environments, and even build and publish a project. These capabilities make uv an all-in-one tool for Python project management. By the end of this video course, […]

Interactive Quiz ⋅ 8 QuestionsBy Philipp Acsany Share In this quiz, you will revisit how Python uses the arrow notation (->) in function signatures to provide return type hints. Practice identifying correct syntax, annotating containers, and understanding the role of tools like mypy. Brush up on key concepts, clarify where and how to use return type hints, and see practical examples in What Does -> Mean in Python Function Definitions?. The quiz contains 8 questions and there is no time […]

Interactive Quiz ⋅ 6 QuestionsBy Rodrigo Girão Serrão Share In this quiz, you will review how to use uv, the high-speed Python package and project manager. You will practice key commands, explore the files uv creates for you, and work with project setup tasks. This is a great way to reinforce project management basics with uv and get comfortable with its streamlined workflows. The quiz contains 6 questions and there is no time limit. You’ll get 1 point for each […]

In Python, the arrow symbol (->) appears in function definitions as a notation to indicate the expected return type. This notation is optional, but when you include it, you clarify what data type a function should return: >>> def get_number_of_titles(titles: list[str]) -> int: … return len(titles) … You may have observed that not all Python code includes this particular syntax. What does the arrow notation mean? In this    

Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share Challenge yourself with this quiz and see how much you understand about dropping null values in pandas. Working through this quiz is a great way to revisit what you learned in the How to Drop Null Values in pandas tutorial. You’ll find most of the answers in the tutorial content, but for some of the questions, you might need to do some extra digging. The quiz contains 10 questions and there is […]

Missing values can derail your analysis. In pandas, you can use the .dropna() method to remove rows or columns containing null values—in other words, missing data—so you can work with clean DataFrames. In this tutorial, you’ll learn how this method’s parameters let you control exactly which data gets removed. As you’ll see, these parameters give you fine-grained control over how much of your data to clean. Dealing with null values is essential for keeping datasets clean and avoiding the issues […]