It makes writing c extensions for python as easy as python itself. Cdef classes) pxd files caveats profiling unicode and passing strings memory allocation embedding cython modules in c/c++ applications pure python mode. Python string types in cython code string literals general notes about c strings passing byte strings accepting strings from python code dealing with “const” decoding bytes to text encoding text to bytes c++ strings auto encoding and decoding source code encoding single bytes and characters narrow unicode builds iteration windows and wide. Cython provides a fake version of this module as cython.shadow, which is available as cython.py when cython is installed, but can be copied to be used by other modules when cython is not installed. For the last release version, see here. Many scientific python distributions, such as anaconda [anaconda], enthought canopy [canopy], and sage [sage], bundle cython and no setup is needed
Note however that if your distribution ships a version of cython which is too old you can still use the instructions below to update cython. [cython] is a programming language that makes writing c extensions for the python language as easy as python itself Cython is a python compiler This tutorial is aimed at numpy users who have no experience with cython at all If you have some knowledge of cython you may want to skip to the ‘’efficient indexing’’ section
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