Threads can provide concurrency, even if they're not truly parallel. In my last article, I took a short tour through the ways you can add concurrency to your programs. In this article, I focus on one ...

長年「Pythonは並列処理が苦手」と言われてきました。その原因のひとつ「だった」のが、GIL（Global Interpreter Lock）です。 しかし2025年、Python 3.14でついに「GILなし版」が実用段階に突入しました。この記事では、gi0baroさんの記事「The future of Python web services looks ...

When executing programs in Python, there are times when you want to run multiple processes "simultaneously" rather than waiting for one task to finish before moving on to the next. For example, when ...

There’s more than one way to thread (or not to thread) a Python program. We point you to several threading resources, a fast new static type checker from Astral, a monkey patch for Pandas that adds ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

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's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...