Interactive Quiz ⋅ 11 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of The Python Standard REPL: Try Out Code and Ideas Quickly. The Python REPL allows you to run Python code interactively, which is useful for testing new ideas, exploring libraries, refactoring and debugging code, and trying out examples. 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 […]

Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share In this quiz, you’ll test your understanding of how to reset a pandas DataFrame index. By working through the questions, you’ll review your knowledge of indexing and also expand on what you learned in the tutorial. You’ll need to do some research outside of the tutorial to answer all the questions. Embrace this challenge and let it take you on a learning journey. The quiz contains 10 questions and there is no […]

Interactive Quiz ⋅ 9 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Python Class Constructors. By working through this quiz, you’ll revisit the internal instantiation process, object initialization using .__init__(), and fine-tuning object creation by overriding .__new__(). The quiz contains 9 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 ⋅ 18 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of how to define your own Python function. You’ll revisit theoretical knowledge about passing values to functions, when to divide your program into separate user-defined functions, and all the tools you’ll need to define complex and powerful functions in Python. The quiz contains 18 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, […]

Python threading allows you to run parts of your code concurrently, making the code more efficient. However, when you introduce threading to your code without knowing about thread safety, you may run into issues such as race conditions. You solve these with tools like locks, semaphores, events, conditions, and barriers. By the end of this tutorial, you’ll be able to identify safety issues and prevent them by using the synchronization primitives in Python’s threading module to make your code thread-safe. […]

Interactive Quiz ⋅ 9 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Pydantic. Pydantic is a powerful data validation library for Python. You can also use a related library, pydantic-settings, for settings management. By working through this quiz, you’ll revisit how to work with data schemas with Pydantic’s BaseModel, write custom validators for complex use cases, validate function arguments with Pydantic’s @validate_call, and manage settings and configure applications with pydantic-settings. The quiz contains 9 questions and […]

The Python Global Interpreter Lock or GIL, in simple words, is a mutex (or a lock) that allows only one thread to hold the control of the Python interpreter. This means that only one thread can be in a state of execution at any point in time. The impact of the GIL isn’t visible to developers who execute single-threaded programs, but it can be a performance bottleneck in CPU-bound and multi-threaded code. Since the GIL allows only one thread to […]