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Highly compatible
- PyPy is an alternative Python interpreter and just-in-time (JIT) compiler that is highly compatible (subject to a few caveats) with the CPython interpreter. It is designed for speed and efficiency and uses a tracing JIT compiler to optimize frequently executed parts of the program at runtime, thus increasing the execution speed.
www.cardinalpeak.com/blog/faster-python-with-cython-and-pypy-part-2
This page documents the few differences and incompatibilities between the PyPy Python interpreter and CPython. Some of these differences are “by design”, since we think that there are cases in which the behaviour of CPython is buggy, and we do not want to copy bugs.
- Pypy's Ctypes Implementation
PyPy’s implementation internally uses libffi like CPython’s...
- Contributors
What is PyPy? Goals and Architecture Overview; Downloading...
- Changelogs
CPython 3.6 compatible versions¶. What’s new in PyPy3 7.3.3;...
- Glossary
Glossary¶ application level applevel code is normal Python...
- Pypy's Release Process
add a tag on the pypy/jitviewer repo that corresponds to...
- Potential Project List
Run benchmarks, either provided by the extension developers...
- JIT Hooks
JIT hooks¶. There are several hooks in the pypyjit module...
- Pypy's Configuration Handling
Description of Options¶. All the constructors take a name...
- Pypy's Ctypes Implementation
PyPy is written in Restricted Python. It does not run on top of the CPython interpreter, as far as I know. Restricted Python is a subset of the Python language. AFAIK, the PyPy interpreter is compiled to machine code, so when installed it does not utilize a python interpreter at runtime.
3 days ago · A module installed for CPython is not automatically available for PyPy — just like a module installed for CPython 3.6 is not automatically available for CPython 3.7 if you installed both. In other words, you need to install the module xyz specifically for PyPy.
The goal of this page is to point out some of the differences between running python with PyPy and with CPython. TL;DR¶ Pure python code works, but there are a few differences with object lifetime management. Modules that use the CPython C API will probably work, but will not achieve a
Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy.
Compatibility: PyPy is highly compatible with existing python code. It supports cffi, cppyy, and can run popular python libraries like twisted, and django. It can also run NumPy, Scikit-learn and more via a c-extension compatibility layer. Stackless: PyPy comes by default with support for stackless mode, providing micro-threads for massive ...
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Aug 2, 2023 · PyPy is a drop-in replacement for the stock Python interpreter, CPython. Whereas CPython compiles Python to intermediate bytecode that is then interpreted by a virtual machine, PyPy uses...