Python debugging involves identifying and fixing errors in your code using tools like tracebacks, print() calls, breakpoints, and tests. In this tutorial, you’ll learn how to interpret error messages, use print() to track variable values, and set breakpoints to pause execution and inspect your code’s behavior. You’ll also explore how writing tests can help prevent errors and ensure your code runs as expected. By the end of this tutorial, you’ll understand that: Debugging means identifying, analyzing, and resolving issues in […]

Interactive Quiz ⋅ 7 QuestionsBy Martin Breuss Share In this quiz, you’ll test your knowledge of Python’s __init__.py file. Understanding this file’s role will help you create more organized and reusable Python code. The quiz contains 7 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 is 100%. Good luck! Related Resources

Python’s special __init__.py file marks a directory as a regular Python package and allows you to import its modules. This file runs automatically the first time you import its containing package. You can use it to initialize package-level variables, define functions or classes, and structure the package’s namespace clearly for users. By the end of this tutorial, you’ll understand that: A directory without an __init__.py file becomes a namespace package, which behaves differently from a regular package and may cause […]

In Python, a protocol specifies the methods and attributes that a class must implement to be considered of a given type. Protocols are important in Python’s type hint system, which allows for static type checking through external tools, such as mypy, Pyright, and Pyre. Before there were protocols, these tools could only check for nominal subtyping based on inheritance. There was no way to check for structural subtyping, which relies on the internal structure of classes. This limitation affected Python’s […]

Last month was a watershed moment for Python. Python 3.14 beta 3, released mid-June, isn’t just another pre-release. It’s the first build in which the long-awaited free-threaded or “no-GIL” variant is officially supported. That’s right: a no-GIL Python is finally taking shape. The interpreter isn’t the only thing making headlines, though. Below you’ll find a curated tour of the latest Python developments, broken down by area so you can zero in on your favorite topic. Core Python Development CPython’s core […]

Interactive Quiz ⋅ 11 QuestionsBy Leodanis Pozo Ramos Share Evaluate your grasp of Python’s t-strings, which provide a structured and secure way to handle string templates. 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 is 100%. Good luck! Related Resources

Python 3.14’s t-strings allow you to intercept and transform input values before assembling them into a final representation. Unlike f-strings, which produce a str object, t-strings resolve to a Template instance, allowing you to safely process and customize dynamic content. One of the key benefits of t-strings is their ability to help prevent security vulnerabilities like SQL injection and XSS attacks. They’re also valuable in other fields that rely on string templates, such as structured logging. By the end of […]

This video course explores the Factory Method design pattern and its implementation in Python. Design patterns became a popular topic in late 90s after the so-called Gang of Four (GoF: Gamma, Helm, Johson, and Vlissides) published their book Design Patterns: Elements of Reusable Object-Oriented Software. The book describes design patterns as a core design solution to reoccurring problems in software and classifies each design pattern into categories according to the nature of the problem. Each pattern is given a name, […]