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 ...

Abstract: The use of Python as a high level productivity language on top of high performance libraries written in C++ requires efficient, highly functional, and easy-to-use cross-language bindings.

「如果想让代码运行得更快，您应该使用 PyPy。」 - Python 之父 Guido van Rossum 对于研究人员来说，迅速把想法代码化并查看其是否行得通至关重要。Python 是能够实现这一目标的出色语言，它能够让人们专注于想法本身，而不必过度为代码格式等无聊的事情困扰。

IT之家1 月 5 日消息，Python 解释器 PyPy 日前发布官方新闻稿，宣布已将自家存储库及问题追踪器迁移至微软 GitHub。 IT之家从新闻稿中注意到，PyPy 开发团队声称微软 GitHub 当前已成为“开源代名词”，相较于此前团队使用的 Heptapod 托管服务，切换到 GitHub 能够改善 ...

This guide explores what Python is used for, how it compares to other programming languages and developer resources for building skills in Python. With over 10.1 million developers using Python, the ...

Python has earned a reputation for being powerful, flexible, and easy to work with. These virtues have led to its use in a huge and growing variety of applications, workflows, and fields. However, ...

Advantages and distinct Features (according to pypy): Speed: thanks to its Just-in-Time compiler, Python programs often run faster on PyPy. (What is a JIT compiler?) Memory usage: memory-hungry Python ...