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

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13.

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism. Multithreading and parallel ...

Threading in Python by Reuven M. Lerner: threads can provide concurrency, even if they're not truly parallel. Using Python for Science by Joey Bernard: introducing Anaconda, a Python distribution for ...