Concurrency refers to the ability of a program to manage multiple tasks at once, improving performance and responsiveness. It encompasses different models like threading, asynchronous tasks, and multiprocessing, each offering unique benefits and trade-offs. In Python, threads and asynchronous tasks facilitate concurrency on a single processor, while multiprocessing allows for true parallelism by utilizing multiple CPU cores. Understanding concurrency is crucial for optimizing programs, especially those that are I/O-bound or CPU-bound. Efficient concurrency management can significantly enhance a program’s performance […]

Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share In this quiz, you’ll test your understanding of the techniques covered in the tutorial NumPy Practical Examples: Useful Techniques. By working through the questions, you’ll review your understanding of NumPy arrays 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 […]

Interactive Quiz ⋅ 8 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of the different ways you can interact with Python. By working through this quiz, you’ll revisit key concepts related to Python interaction in interactive mode using the Read-Eval-Print Loop (REPL), through Python script files, and within Integrated Development Environments (IDEs) and code editors. You’ll also test your knowledge of some other options that may be useful, such as Jupyter Notebooks. The quiz contains 8 questions […]

Interactive Quiz ⋅ 6 QuestionsBy Bartosz Zaczyński Share In this quiz, you’ll test your understanding of Expression vs Statement in Python: What’s the Difference? By working through this quiz, you’ll revisit the key differences between expressions and statements in Python, and how to use them effectively in your code. 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 […]

Interactive Quiz ⋅ 7 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of Python Dictionary Comprehensions: How and When to Use Them. Understanding dictionary comprehensions is crucial for you as a Python developer because they provide a Pythonic tool for dictionary manipulation and can be a valuable addition to your programming toolkit. 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 […]

The NumPy library is a Python library used for scientific computing. It provides you with a multidimensional array object for storing and analyzing data in a wide variety of ways. In this tutorial, you’ll see examples of some features NumPy provides that aren’t always highlighted in other tutorials. You’ll also get the chance to practice your new skills with various exercises. If you’re new to NumPy, it’s a good idea to familiarize yourself with the basics of data science in […]

TOML—Tom’s Obvious Minimal Language—is a reasonably new configuration file format that the Python community has embraced over the last couple of years. TOML plays an essential part in the Python ecosystem. Many of your favorite tools rely on TOML for configuration, and you’ll use pyproject.toml when you build and distribute your own packages. In this video course, you’ll learn more about TOML and how you can use it. In particular, you’ll: Learn and understand the syntax of TOML Use tomli […]

There are multiple ways of interacting with Python, and each can be useful for different scenarios. You can quickly explore functionality in Python’s interactive mode using the built-in Read-Eval-Print Loop (REPL), or you can write larger applications to a script file using an editor or Integrated Development Environment (IDE). In this tutorial, you’ll learn how to: Use Python interactively by typing code directly into the interpreter Execute code contained in a script file from the command line Work within a […]

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: Parallel Iteration With Python’s zip() Function Python’s zip() function combines elements from multiple iterables. Calling zip() generates an iterator that yields tuples, each containing elements from the input iterables. This function is essential for tasks like parallel iteration and dictionary creation, offering an efficient way to handle multiple sequences in Python programming. By the […]

Interactive Quiz ⋅ 11 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Python Namespaces and Scope. 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 […]