.. _additional_resources:

Additional Resources
====================

An enormous amount of information (including tutorials and examples) can be
found on the official websites of the packages

* `Python Website <https://www.python.org/>`_
* `Numpy Website <http://www.numpy.org/>`_
* `SciPy Website <http://www.scipy.org/>`_
* `Matplotlib <http://matplotlib.org/>`_

Python for scientific computing
-------------------------------

* `Learn Python <https://pyzo.org/learn.html>`_ Links to commonly used packages, Matlab to Python comparison
* `Python Wiki <http://wiki.python.org/moin/NumericAndScientific>`_ Lists packages and resources for scientific computing in Python

Numpy and Matlab
----------------

* `NumPy for Matlab Users <https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html>`_
* `Python vs Matlab <https://pyzo.org/python_vs_matlab.html>`_

Lessons in Python
-----------------

* `Software Carpentry <http://swcarpentry.github.io/python-novice-inflammation/>`_
* `Introduction to NumPy and Matplotlib <https://www.youtube.com/watch?v=3Fp1zn5ao2M>`_

Editing Python
--------------

There are numerous ways to edit and test Python
(see `PythonWiki <http://wiki.python.org/moin/PythonEditors>`_ for an overview)
and in our group at least the following options are being used:

* `Sublime <https://www.sublimetext.com/>`_
* `Jupyter <https://jupyter.org/>`_