Pyrex (programming language)

Pyrex is a programming language for creating Python modules. Its syntax is very close to Python and it makes it easy for Python programmers to write non-Python supporting code for interfacing modules in a language which is as close to Python as possible.

Pyrex

Developer(s)	Greg Ewing
Initial release	3 April 2002; 21 years ago (2002-04-03)^[1]
Stable release	0.9.9 / 12 April 2010; 13 years ago (2010-04-12)
Written in	Python, C
Operating system	Cross-platform
Type	Programming language
Website	www.cosc.canterbury.ac.nz/~greg/python/Pyrex/

Python itself only provides a C API to write extension modules, which allows writing of functions and datatypes in C.^[discuss] These can then be accessed from Python. It is possible to wrap the functions and datatypes of existing C libraries as Python objects and therefore make them available to Python.^[2]

Pyrex allows the user to write extension modules in a Python-like language which may directly access the external C code. The similarity of Pyrex's syntax to Python's makes it easy to write Python modules, but there are some functional limitations.^[3] The programmer must specify the name of C-header files, enumerations, datatypes and functions needing to be accessed in the module, then they can be used as if they were Python objects. The Pyrex compiler will generate the necessary glue code automatically and compile the Pyrex code into a working Python module.^{[citation needed]}

There are tools like SWIG or Python's foreign function library ctypes which can be used for this task without requiring much additional code, but this is limited to making an external library available in Python code.^[4][5] If adjustments to the API are needed, glue code must again be written manually.^{[citation needed]}

See also

•  Free and open-source software portal

• Cython

References

1. greg at cosc (3 April 2002). "ANN: Pyrex — a language for writing Python extension modules". Retrieved 24 February 2014.
2. Mark Lutz (2006). Programming Python. O'Reilly Media. p. 1461. ISBN 9780596554613.
3. Alex Martelli (2009). Python in a Nutshell. O'Reilly Media. p. 650. ISBN 9781449379100.
4. Jang Hyuk Kwon; Thom Dunning; Kum Won Cho; Aurore Savoy-Navarro (2010). Future Application and Middleware Technology on E-Science. Springer US. p. 141. ISBN 9781441917195.
5. Wesley Chun (2012). Core Python Applications Programming. Prentice Hall. p. 385. ISBN 9780132678209.

External links

• Official website