Formal plans for a Python that supports true parallelism are finally on the table. Here’s how a GIL-free Python will finally come together. After much debate, the Python Steering Council intends to ...

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 ...

プログラミング言語「Python」の成長に伴い、往年の課題である「GIL」（Global Interpreter Lock）の制約が顕在化してきた。GILはCPython（Pythonの標準実装）が持つ仕組みで、複数のスレッドが同時にPythonプログラムを実行することを妨げる。これはマルチコアCPUの ...

プログラミング言語「Python」において、データの整合性を保つ仕組み「GIL」（Global Interpreter Lock）が廃止されようとしている。GILを廃止することで、複数のCPUコアにまたがる処理が実行可能になる見込みだ。だがこの変更は技術的な課題だけでなく、Python ...

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 ...

Powerful, flexible, and programmer-friendly, Python is widely used for everything from web development to machine learning. By the two most-cited measures, Python has even surpassed the likes of Java ...

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 ...

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 ...