Skip to content

SDiserens/scientific_programming

 
 

Repository files navigation

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

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 95.4%
  • Python 3.3%
  • CSS 1.3%