Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

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 ...

Formal plans for a Python that supports true parallelism are finally on the table. Here’s how a GIL-free Python will finally come together. After much debate, the Python Steering Council intends to ...

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 processing ...

Python 3.13 has been released with a slight delay on the home straight. The new interactive shell aims to make development more convenient. In addition, the global interpreter lock can now be ...