Au lieu de cela, Python assure la sécurité des threads en n'autorisant qu'un seul thread à accéder à un objet à la fois. C'est la raison d'être de GIL.

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 ...

In the realm of Python development, achieving parallelism and harnessing the full power of modern multi-core processors is challenging. Traditionally constrained by the Global Interpreter Lock (GIL), ...

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 ...

Finally, the GIL itself was reworked somewhat in Python 3, with a better thread-switching handler. But all of its underlying assumptions — and limitations — remain.

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start.

Python 3.13: Better interactive shell and finally multithreading without GIL The new Python release features an interactive command line and allows the global interpreter lock to be deactivated.

Running multiple independent Python interpreters, where one interpreter is allocated per spawned thread, would be useful for the following situations: A HTTP server, for example using mummy where some ...