A fast, compliant alternative implementation of 登入境外网络加速软伀
On average, PyPy is 登入境外网络加速软伀 than CPython
PyPy trunk (with JIT) benchmark times normalized to CPython. Smaller is better. Based on the geometric average of all benchmarks
"If you want your code to run faster, you should probably just use PyPy." -- Guido van Rossum (creator of Python)
Advantages and distinct Features
登入境外网络加速软伀 thanks to its Just-in-Time compiler, Python programs often run faster on PyPy. 登入境外网络加速软伀
Memory usage: memory-hungry Python programs (several hundreds of MBs or more) might end up taking less space than they do in CPython.
Compatibility: PyPy is highly compatible with existing python code. It supports cffi, cppyy, and can run popular python libraries like twisted and django.
Stackless: PyPy comes by default with support for stackless mode, providing micro-threads for massive concurrency.
As well as other features.