Do you want to optimize the performance of your Python program to make it run faster or consume less memory? Before diving into any performance tuning, you should strongly consider using a technique called software profiling. It can help you decide whether optimizing the code is necessary and, if so, which parts of the code you should focus on. Sometimes, the return on investment in performance optimizations just isn’t worth the effort. If you only run your code once or […]

Interactive Quiz ⋅ 7 QuestionsBy Philipp Acsany Share Want to get comfortable writing and using Python docstrings? This quiz helps you revisit best practices, standard conventions, and common tools. You’ll review the basics of docstring syntax, how to read them at runtime, and different formatting styles. For more details, check out the tutorial How to Write Docstrings in Python. The quiz contains 7 questions and there is no time limit. You’ll get 1 point for each correct answer. At the […]

Writing clear, consistent docstrings in Python helps others understand your code’s purpose, parameters, and outputs. In this guide on how to write docstrings in Python, you’ll learn about best practices, standard formats, and common pitfalls to avoid, ensuring your documentation is accessible to users and tools alike. By the end of this tutorial, you’ll understand that: Docstrings are strings used to document your Python code and can be accessed at runtime. Python comments and docstrings have important differences. One-line and […]

Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Context Managers and Using Python’s with Statement Python’s with statement allows you to manage external resources safely by using objects that support the context manager protocol. These objects automatically handle the setup and cleanup phases of common operations. By using the with statement alongside appropriate context managers, you can focus on your core logic […]

Python’s .__dict__ is a special attribute in classes and instances that acts as a namespace, mapping attribute names to their corresponding values. You can use .__dict__ to inspect, modify, add, or delete attributes dynamically, which makes it a versatile tool for metaprogramming and debugging. In this video course, you’ll learn about using .__dict__ in various contexts, including classes, instances, and functions. You’ll also explore its role in inheritance with practical examples and comparisons to other tools for manipulating attributes. By […]