The Python Package Index (PyPI) is a repository of software for the Python programming language. PyPI helps you find and install software developed and shared by the Python community. Learn about installing packages. Package authors use PyPI to distribute their software. Learn how to package your Python code for PyPI.

PyPy is an interpreter that implements the Python programming language, based on the RPython compiler framework for dynamic language implementations. The home page for the interpreter is: https://pypy.org/

PyPy is a fast, compliant alternative implementation of the Python language. Nearly all Python packages install properly on PyPy. This page shows what happens when you use pip to install the 1000 most-downloaded package from pypi.python.org.

PyPy is a very fast and compliant implementation of the Python language. Loading… PyPy has 13 repositories available. Follow their code on GitHub.

如果您正在使用 TUNA 镜像站，可以使用 pypi.tuna.tsinghua.edu.cn 替换下面所有的 mirrors.tuna.tsinghua.edu.cn/pypi/web。 BFSU 镜像站没有为 PyPI 提供独立服务域名。 PyPI 镜像在每次同步成功后间隔 5 分钟同步一次。 注意， simple 不能少。 pip config...

2025年3月11日 · If you want to find out more about what PyPy is, have a look at our What is PyPy? or consult the PyPy website. If you’re interested in trying PyPy out, check out the installation instructions. If you want to help develop PyPy, please have a look at contributing and at the repo on https://github.com/pypy/pypy and get in touch (Contact)!

PyPy is a Python interpreter and just-in-time compiler. PyPy focuses on speed, efficiency and compatibility with the original CPython interpreter. PyPy started out as a Python interpreter written in the Python language itself. Current PyPy versions are translated from RPython to …

2023年12月29日 · PyPy has moved its canonical repo and issue tracker from https://foss.heptapod.net/pypy/pypy to https://github.com/pypy/pypy. Obviously, this means development will now be tracked in Git rather than Mercurial.

2020年12月15日 · 本文介绍了如何下载和安装Pypy，以及在Pypy环境中配置和使用pip来安装额外的库，例如numpy。 通过遵循简单的步骤，读者可以学习到在Pypy环境下利用pip进行包管理的方法。

Building PyPy from Source¶ For building PyPy, we recommend installing a pre-built PyPy first (see Downloading and Installing PyPy). It is possible to build PyPy with CPython, but it will take a lot longer to run – depending on your architecture, between two and three times as long.