Interactive Quiz ⋅ 6 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit the fundamentals of object-oriented programming (OOP) in Python and how to work with classes, objects, and constructors. The quiz contains 6 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

Interactive Quiz ⋅ 9 QuestionsBy Martin Breuss Share Are you ready to revisit the essentials of building Flask applications? In this quiz, you’ll practice Flask concepts such as views, blueprints, application factory patterns, and template usage. Check your understanding of Flask fundamentals by exploring concepts covered in the tutorial Build a Scalable Flask Web Project From Scratch. The quiz contains 9 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of […]

Interactive Quiz ⋅ 9 QuestionsBy Martin Breuss Share In this quiz, you’ll revisit Python’s built-in exceptions, exploring their hierarchy and how to handle them gracefully. You’ll practice distinguishing between errors and exceptions, using try…except blocks, and identifying specific exceptions like IndexError and GeneratorExit. Brush up your skills by reviewing the Working With Python’s Built-in Exceptions course before you start! The quiz contains 9 questions and there is no time limit. You’ll get 1 point for each correct answer. At the […]

Interactive Quiz ⋅ 7 QuestionsBy Martin Breuss Share In this quiz, you can test your knowledge on the fundamentals of LangChain, such as creating reusable instructions with prompt templates, LangChain chains, and LangChain’s debug mode. 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    

Interactive Quiz ⋅ 10 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Python’s continue statement. The continue statement allows you to skip code in a loop for the current iteration, jumping immediately to the next iteration. It’s used exclusively in for and while loops, allowing you to control the flow of execution, bypass specific conditions, and continue processing in a structured and predictable manner. The quiz contains 10 questions and there is no time limit. You’ll […]

Interactive Quiz ⋅ 6 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of the Python or Operator. You’ll learn how to use it in both Boolean and non-Boolean contexts, and understand how it can be used to solve programming problems. The quiz contains 6 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! […]

Interactive Quiz ⋅ 7 QuestionsBy Martin Breuss Share In this quiz, you’ll practice your knowledge about Python’s namespace packages. What are they used for? How do you set up a namespace package? How could you create one before PEP 420? Complete this quick quiz to test your knowledge. 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 […]

Until now, you’ve focused on how to use the continue statement effectively in your code. But have you ever wondered what Python actually does when it encounters continue inside a loop? This section pulls back the curtain to explore how Python parses and executes your code, helping you understand what’s really going on when your loops skip ahead. Understanding the Official Documentation As you learned earlier, continue only works inside a loop—it has no function outside a loop and will […]

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: Hands-On Python 3 Concurrency With the asyncio Module Python’s asyncio library enables you to write concurrent code using the async and await keywords. The core building blocks of async I/O in Python are awaitable objects—most often coroutines—that an event loop schedules and executes asynchronously. This programming model lets you efficiently manage multiple I/O-bound tasks […]

Python has a complete set of built-in exceptions that provide a quick and efficient way to handle errors and exceptional situations in your code. Knowing the most commonly used built-in exceptions is key for you as a Python developer. This knowledge will help you debug code because each exception has a specific meaning that can shed light on your debugging process. You’ll also be able to handle and raise most of the built-in exceptions in your Python code, which is […]