Interactive Quiz ⋅ 5 QuestionsBy Philipp Acsany Share In this quiz, you’ll test your understanding of the Python break statement. This keyword allows you to exit a loop prematurely, transferring control to the code that follows the loop. The quiz contains 5 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

In Python, the break statement lets you exit a loop prematurely, transferring control to the code that follows the loop. This tutorial guides you through using break in both for and while loops. You’ll also briefly explore the continue keyword, which complements break by skipping the current loop iteration. By the end of this tutorial, you’ll understand that: A break in Python is a keyword that lets you exit a loop immediately, stopping further iterations. Using break outside of loops […]

In this video course, you’ll learn how to create a Python dice roll simulator. The course guides you through building a text-based user interface (TUI) application that simulates rolling dice using Python’s random module. You’ll learn to gather and validate user input, use random.randint() for dice rolling, and display results with ASCII art. By the end of this video course, you’ll understand that: To simulate dice-rolling events, you can use random.randint() . To get the user’s input, you use the […]

Interactive Quiz ⋅ 11 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Namespaces in Python. You’ll revisit how Python organizes symbolic names and objects in namespaces, when Python creates a new namespace, how namespaces are implemented, and how variable scope determines symbolic name visibility. 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 […]

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: Navigating Namespaces and Scope in Python A Python namespace is a mapping from names to objects. It works like a dictionary where keys are object names and values are the objects themselves. Namespaces organize variables and functions in a dedicated space, allowing you to use multiple instances of the same name without conflict, as […]

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 tutorial, 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 the […]

Python’s in and not in operators allow you to quickly check if a given value is or isn’t part of a collection of values. This type of check is generally known as a membership test in Python. Therefore, these operators are known as membership operators. By the end of this video course, you’ll understand that: The in operator in Python is a membership operator used to check if a value is part of a collection. You can write not in […]