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.. _installing:
Installing Bottleneck
=====================
As bottleneck aims to provide high-performance, optimized numerical functions
to all users, it is distributed as a source package (except via Anaconda) so
that local compilers can perform the relevant optimizations. Accordingly,
installation may take some additional steps compared to packages like numpy.
Anaconda
~~~~~~~~
If you wish to avoid additional steps, we recommend using Anaconda or
Miniconda. A pre-compiled version of bottleneck is installed by default.
Users looking for optimal performance may benefit from uninstalling the
pre-compiled version and following the steps below.
Build dependencies
~~~~~~~~~~~~~~~~~~
Debian & Ubuntu
---------------
The following build packages must be installed prior to installing bottleneck:
.. code-block::
sudo apt install gcc python3-dev
The Python development headers can be excluded if using Anaconda.
RHEL, Fedora & CentOS
---------------------
.. code-block::
sudo yum install gcc python3-devel
Windows
-------
The Python Wiki maintains detailed instructions on which Visual Studio
version to install here: https://wiki.python.org/moin/WindowsCompilers
pip & setuptools
~~~~~~~~~~~~~~~~
bottleneck leverages :pep:`517` and thus we generally recommend updating
pip and setuptools before installing to leverage recent improvements.
With Anaconda:
.. code-block::
conda update setuptools pip
And with pip:
.. code-block::
pip install --upgrade setuptools pip
Installation
~~~~~~~~~~~~
Finally, simply install with:
.. code-block::
pip install bottleneck
If you encounter any errors, please open an issue on our GitHub
page: https://github.com/pydata/bottleneck/issues
|
