実行したいこと複数ある場合の実行方法について考えます。通常は命令の順番通りに実行していきます。複数実行したい場合でも一つ終わってから次の処理を行うことになります。この処理は同期処理と言います。 複数同時、割り込んで実行することを非 ...

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 ...

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 ...

Python allows developers several ways to write concurrent programs. The most notable of these are asynchronous programming and multithreading. These two approaches were designed specifically to ...

The removal of the Global Interpreter Lock (GIL) in CPython 3.14 enables true thread-level parallelism for CPU-bound Python code. Multiple approaches can exploit this: imperative shared-state code ...

The Python team has released version 3.14, with big new features including free threading support, the ability to use concurrent interpreters, improved debugger support, and an opt-in new interpreter ...

Starting in Python 3.13, a new build of Python is available that eliminates the global interpreter lock to allow free threading of the Python process itself. There is a possibility that any OS threads ...