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.

The existing tutorials were generally overly simplistic, and often made use of the older Python 3.5 syntax, adding to the confusion.

The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty… ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers ...