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21 changes: 5 additions & 16 deletions doc/source/development/contributing.rst
Original file line number Diff line number Diff line change
Expand Up @@ -133,22 +133,11 @@ Installing a C compiler
Pandas uses C extensions (mostly written using Cython) to speed up certain
operations. To install pandas from source, you need to compile these C
extensions, which means you need a C compiler. This process depends on which
platform you're using. Follow the `CPython contributing guide
<https://devguide.python.org/setup/#compile-and-build>`_ for getting a
compiler installed. You don't need to do any of the ``./configure`` or ``make``
steps; you only need to install the compiler.

For Windows developers, when using Python 3.5 and later, it is sufficient to
install `Visual Studio 2017 <https://visualstudio.com/>`_ with the
**Python development workload** and the **Python native development tools**
option. Otherwise, the following links may be helpful.

* https://blogs.msdn.microsoft.com/pythonengineering/2017/03/07/python-support-in-vs2017/
* https://blogs.msdn.microsoft.com/pythonengineering/2016/04/11/unable-to-find-vcvarsall-bat/
* https://github.com/conda/conda-recipes/wiki/Building-from-Source-on-Windows-32-bit-and-64-bit
* https://cowboyprogrammer.org/building-python-wheels-for-windows/
* https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/
* https://support.enthought.com/hc/en-us/articles/204469260-Building-Python-extensions-with-Canopy
platform you're using.

* Windows: https://devguide.python.org/setup/#windows-compiling
* Mac: https://devguide.python.org/setup/#macos
* Unix: https://devguide.python.org/setup/#unix-compiling

Let us know if you have any difficulties by opening an issue or reaching out on
`Gitter`_.
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