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PEP 510: rephrase introduction on PyPy 

suggestion of Yury Selivanov
This commit is contained in:
Victor Stinner 2016-01-13 00:02:21 +01:00
parent 62cad3ab0c
commit cb2695ed1f
1 changed files with 5 additions and 4 deletions
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pep-0510.txt
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@ -55,10 +55,11 @@ There are multiple JIT compilers for Python actively developed:
* `Pyjion <https://github.com/microsoft/pyjion>`_
Numba is specific to numerical computation. Pyston and Pyjion are still
young. PyPy is the most complete Python interpreter, it is much faster
than CPython and has a very good compatibility with CPython (it respects
the Python semantics). There are still issues with Python JIT compilers
which avoid them to be widely used instead of CPython.
young. PyPy is the most complete Python interpreter, it is generally
faster than CPython in micro- and many macro-benchmarks and has a very
good compatibility with CPython (it respects the Python semantics).
There are still issues with Python JIT compilers which avoid them to be
widely used instead of CPython.
Many popular libraries like numpy, PyGTK, PyQt, PySide and wxPython are
implemented in C or C++ and use the Python C API. To have a small memory