Dealing with errors and exceptional situations is a common requirement in programming. You can either prevent errors before they happen or handle errors after they’ve happened. In general, you’ll have two coding styles matching these strategies: look before you leap (LBYL), and easier to ask forgiveness than permission (EAFP), respectively. In this video course, you’ll dive into the questions and considerations surrounding LBYL vs EAFP in Python. By learning about Python’s LBYL and EAFP coding styles, you’ll be able to […]

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: Reading Input and Writing Output in Python For a program to be useful, it often needs to communicate with the outside world. In Python, the input() function allows you to capture user input from the keyboard, while you can use the print() function to display output to the console. These built-in functions allow for […]

Creating software is an achievement worth celebrating. But software is never static. Bugs need to be fixed, features need to be added, and security demands regular updates. In today’s landscape, with agile methodologies dominating, robust DevOps systems are crucial for managing an evolving codebase. That’s where GitHub Actions shine, empowering Python developers to automate workflows and ensure their projects adapt seamlessly to change. GitHub Actions for Python empowers developers to automate workflows efficiently. This enables teams to maintain software quality […]

When your Python project relies on external packages, you need to make sure you’re using the right version of each package. After an update, a package might not work as it did before. A dependency manager like Python Poetry helps you specify, install, and resolve external packages in your projects. This way, you can be sure that you always work with the correct dependency version on every machine. In this video course, you’ll learn how to: Create a new project […]

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 […]