Metadata-Version: 2.1
Name: sarkas
Version: 1.0.1
Summary: Sarkas - A Fast pure-python Molecular Dynamics suite for plasmas
Home-page: https://murillogroup.github.io/sarkas
Author: Murillo Group
Author-email: sarkasdev@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (==1.20)
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: numba (>=0.50)
Requires-Dist: pyfftw
Requires-Dist: fdint
Requires-Dist: pyyaml
Requires-Dist: tables
Requires-Dist: tqdm
Requires-Dist: pyfiglet (==0.8.post1)
Requires-Dist: pickle5
Requires-Dist: jupyter
Requires-Dist: jupyterlab
Requires-Dist: notebook
Requires-Dist: matplotlib
Requires-Dist: seaborn

# Sarkas
A Pure Python Molecular Dynamics package for Non-Ideal Plasmas

Sarkas aims at lowering the entry barrier for computational plasma physics by providing a comprehensive MD suite complete with pre- and post-processing tools commonly found in plasma physics.

Sarkas is entirely written in Python without calls to C/Fortran hence avoiding a two-language problem. It relies on the most common Python scientific packages, e.g. NumPy, Numba, SciPy, and Pandas, which provide a solid foundation built, optimized, and well documented by one of the largest community of developers. Furthermore, Sarkas is developed using an object-oriented approach allowing users to add new features in a straight-forward way.

Sarkas targets a broad user base: from experimentalists to computational physicists, from students approaching plasma physics for the first time to seasoned researchers. Therefore Sarkas’ design revolves around two primary requirements: ease-of-use and extensibility.

## Documentation
https://murillo-group.github.io/sarkas/

## Installation
Sarkas can be installed by running the command

    pip install sarkas
 
in a terminal or command prompt window.




