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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. When language architects designed Python, they couldn’t conceive of a world where computers had ...

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 ...

A major criticism of the Python programming language is that it can't thread across cores. The reason is because of the CPython's Global Interpreter Lock (GIL). The inability to take advantage of more ...

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 ...

A new project to change the CPython runtime to boost multithreaded performance has drawn the attention of Python’s core development team. One of Python’s long-standing weaknesses, its inability to ...

Python has been held back by its inability to natively use multiple CPU cores. Now Pythonistas are aiming to find a solution For all of Python’s great and convenient features, one goal remains out of ...