Official support for free-threaded Python, an experimental JIT, and a smarter installation manager for Windows are among the goodies in Python 3.14. Now in a release candidate.

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.

Check the key differences between multithreading and multiprocessing. Having a comprehensive understanding of both systems can help you in improving the performance of the concurrent systems.

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.

Moore’s Law and Python’s flawed logic When language architects designed Python, they couldn’t conceive of a world where computers had more than one core. In the 1980s and 1990s, software engineers bet ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications.

Multiprocessing in Python enables the computer to utilize multiple cores of a CPU to run tasks/processes in parallel.