Tutorials
=========

This section contains a list links to tutorials, which are all `Jupyter Notebooks <http://jupyter.org/>`_.
It is highly recommended that rather than just reading through the material, you
download the notebook files, run them on your own computer and play around with
the code. They also contain short problems that will help you to learn various
aspects of ISAMBARD.

Parametric Modelling
--------------------

`Parametric Modelling of Coiled Coils
<https://gist.github.com/ChrisWellsWood/f23502780b9595f556e55bdf696b674f>`_

Evaluating Models
-----------------

`Evaluation of Models
<https://gist.github.com/ChrisWellsWood/41a8baf9785e1b39a39c70d651d98129>`_

Optimisation
------------

`Grid Scanning Parameters in ISAMBARD
<https://gist.github.com/ChrisWellsWood/9cd8b56a946ce20a31a3b54dde7dec4c>`_


`Parameter Optimisation with Metaheuristics
<https://gist.github.com/ChrisWellsWood/82a315a52b76125d41e24ad369185628>`_