SciPy
=====

A collection of open source software for scientific computing in Python.

Based on Anaconda installation script.

About SciPy
------------

The SciPy Stack is a collection of open source software for scientific
computing in Python, and particularly a specified set of core packages that
includes:

- **Python**, a general purpose programming language.
- **NumPy**, the fundamental package for numerical computation.
- **The SciPy library**, a collection of numerical algorithms and
  domain-specific toolboxes, including signal processing, optimization,
  statistics and much more.
- **Matplotlib**, a mature and popular plotting package.
- **pandas**, providing high-performance, easy to use data structures.
- **SymPy**, for symbolic mathematics and computer algebra.
- **IPython**, a rich interactive interface, letting you quickly process data
  and test ideas.
- **nose**, a framework for testing Python code.

The SciPy installation is based on **Anaconda** minimal package.
Anaconda is a completely free Python distribution. It includes more than 400
of the most popular Python packages for science, math, engineering, and data
analysis.

Currently Python 2.7 and Python 3 environments are available.

Reference
----------


        =============== ========================== ===============================================
        **System**      **Python version**                      **Command**
        --------------- -------------------------- -----------------------------------------------
        CRESCO7            3.9.18                   module load scipy39
        --------------- -------------------------- -----------------------------------------------
        XCRESCO            3.6.5                    module load scipy/1.1.0--python--3.6.
        --------------- -------------------------- -----------------------------------------------
        CRESCO6         3.7.0 (or 3.9.18 or 3.6.9)  module load scipy (or scipy39 or scipy3intel)
        =============== ========================== ===============================================


.. note::

   On the CRESCO8 cluster, the version of Python 3.9.18 is already present when the environment is started.

For clusters **CRESCO6** and **CRESCO7** the list of python modules available can be obtained by typing:

.. code-block:: bash 

   conda list

after loading the appropriate SciPy module.