dm1g16 / scientific_programming

Scientific Programming

This repository contains a collection of notebooks and exercises for the scientific programming course at the 2018 NGCM Summer Academy.

The course covers

• Testing
• Continuous integration
• Code coverage

The notebooks are best viewed on nbviewer.

The notebooks rely on a number of python libraries. These can be installed most easily by first creating a runtime environment:

conda create -n ngcm_sciprog python=3 numpy scipy jupyter matplotlib pytest pytest-cov 

Activate this environment:

source activate ngcm_sciprog

Then launch jupyter:

jupyter notebook