Discover the key differences between async and multithreading in Python. Learn their pros, cons, and how to choose the best concurrency method for your tasks.

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.

PyCon 2020 Tutorial 👉 [slides] This is the code for my PyCon 2020 online tutorial about concurrency and parallelism using Python This tutorial provides a complete overview of what is concurrency (and ...

SmartExecutor is a Python library that automatically determines whether a given task is CPU-bound or I/O-bound and dispatches it to the appropriate executor. This solves a common problem in Python ...

Python 3.13: Better interactive shell and finally multithreading without GIL The new Python release features an interactive command line and allows the global interpreter lock to be deactivated.