Learn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without waiting.

Explore how async programming and threading in Python handle concurrency differently and when each method is most effective for software development tasks.

Python's async features include robust task management capabilities. The `asyncio` module allows you to create tasks, which are a way to schedule coroutines to be run by the event loop.

Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications.

1. Create an empty Python file with a main function Note that the main function is marked as asynchronous. We use asyncio loop to prevent the script from exiting until the main function completes.

Giambio - Asynchronous Python made easy (and friendly) Giambio is an event-driven concurrency library meant* to perform efficient and high-performant I/O multiplexing. This library implements what is ...

Learn the key differences between async and multithreading in Python. Discover which concurrency model is best for your specific use case, whether it's I/O-bound or CPU-bound tasks.

Python simplifies coding with easy syntax, built-in tools, and real-world applications.Mastering basics like loops, functions ...