Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. Topics Spotlight: AI-ready data centers ...

Python versions from 3.13 forward feature an experimental interpreter that allows Python threads to run with full concurrency, in the same way that multiprocessing does, but without ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

We think it’s awesome that Python manages to keep the same syntax between the threading and multiprocessing modules, when the action taking place under the hood is so different.

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...