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 […]

Interactive Quiz ⋅ 9 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of Single and Double Underscores in Python Names. By working through this quiz, you’ll revisit Python naming conventions that rely on using underscores (_), how to differentiate public and non-public names by using a single leading underscore, how to use double leading underscores to leverage name mangling in Python classes, and other common uses of underscores in Python names. The quiz contains 9 questions […]

Interactive Quiz ⋅ 7 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Asynchronous Programming in Python. By working through this quiz, you’ll revisit the concepts of synchronous and asynchronous programs, why you might want to write an asynchronous program, and how to use Python async features. 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. […]

Structural pattern matching is a powerful control flow construct invented decades ago that’s traditionally used by compiled languages, especially within the functional programming paradigm. Most mainstream programming languages have since adopted some form of pattern matching, which offers concise and readable syntax while promoting a declarative code style. Although Python was late to join the party, it introduced structural pattern matching in the 3.10 release. Getting to Know Structural Pattern Matching Before taking advantage of structural pattern matching in your […]