Useful links
=============

Tutorials, Manuals and Books
----------------------------

   * `Python Scientific Lecture Notes <https://scipy-lectures.github.io/>`_
   * `Documentations on NumPy and SciPy <http://docs.scipy.org/doc/>`_
   * `Tentative NumPy Tutorial <http://wiki.scipy.org/Tentative_NumPy_Tutorial>`_
   * `Scipy tutorial <http://docs.scipy.org/doc/scipy/reference/tutorial/index.html>`_
   * `NumPy for Matlab Users <http://wiki.scipy.org/NumPy_for_Matlab_Users>`_
   * `IPython documentation <http://ipython.org/documentation.html>`_
   * `SymPy documentation <http://docs.sympy.org/latest/index.html>`_
   * `h5py project website <http://www.h5py.org/>`_ and `h5py user guide <http://docs.h5py.org/en/2.3/>`_
   * A good book on the subject is H. Langtangen,
     `"Python Scripting for Computational Science" <http://folk.uio.no/hpl/scripting/>`_,
     available electronically on NEBIS, too.
   * A `French overview <http://www.dakarlug.org/pat/scientifique/html/index.html>`_
   * `Using IPython for parallel computing <http://ipython.org/ipython-doc/stable/parallel/index.html>`_

Additional software
-------------------

   * `The spyder IDE <http://code.google.com/p/spyderlib/>`_
   * `winpdb, a python debugger <http://winpdb.org/>`_
   * `mayavi2, 3D scientific data visualization <http://code.enthought.com/projects/mayavi/>`_
   * `image magic, batch image processing <http://www.imagemagick.org/>`_
   * `mplayer, versatile video player and encoder <http://www.mplayerhq.hu/design7/news.html>`_
   * `hdfview, HDF file editor <http://www.hdfgroup.org/hdf-java-html/hdfview/index.html>`_