SMITHERS: Smithers' a Mathematical Interdisciplinary Toolbox for Helping Engineers Researchers and Scientist

Description

Smithers is a generic library for scientific computing developed in Python that aims to facilitate the development of many typical routines. It is substantially a multi-purpose toolbox that inherits functionality from other packages to make easier and compact the coding of recurrent workflows.

Dependencies and installation

Smithers requires numpy, scipy and matplotlib, which are the common libraries for scientific computing in the Python community. All the other dependencies of Smithers are imported at runtime.

Installing from source

The official distribution is on GitHub, and you can clone the repository using

> git clone https://github.com/mathLab/Smithers

To install the package just type:

> python setup.py install

To uninstall the package you have to rerun the installation and record the installed files in order to remove them:

> python setup.py install --record installed_files.txt
> cat installed_files.txt | xargs rm -rf

Testing

We are using Travis CI for continuous intergration testing. You can check out the current status here.

To run tests locally (nose is required):

> python test.py

License

See the LICENSE file for license rights and limitations (MIT).