SMITHERS: Smithers' a Mathematical Interdisciplinary Toolbox for Helping Engineers Researchers and Scientist
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.
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.
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
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
See the LICENSE file for license rights and limitations (MIT).