Python 中的自由线程功能可禁用全局解释器锁(GIL),目前已在 PEP 703 中得到完整实现。它还配套了一个自适应解释器思路,源自 Mark Shannon 领衔的 Faster CPython 项目(尽管微软已在今年 5 月停止官方支持,相关成果已沉淀进实现)。
简单来说,**Python 全局解释器锁**(Global Interpreter Lock, 简称 **GIL**) 是一个互斥锁(或锁),只允许一个线程保持 Python 解释器的控制权。这意味着在任何时间点都只能有一个线程处于执行状态。执行单线程程序的开发人员看不到 GIL 的影响,但它可能是 CPU 密集型 ...
随着 GitHub 2025 年度 Octoverse 报告与 Python 3.13 系列版本的密集发布,全球 Python 生态正迎来“性能跃迁 + 场景扩容”的双重爆发。作为深耕开发者服务、链接技术前沿的行业枢纽,码途钥匙第一时间深度梳理生态核心趋势,从全局解释器锁(GIL)限制突破到边缘智能落地,从 AI 原生开发升级到跨栈集成革新,全面解析 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 ...
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 ...
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 ...
The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...
The Python world has been fractured a few times before. The infamous transition from version 2 to version 3 still affects people today, and there could be a new schism in the future. [Sam Gross] ...
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 ...
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