Metadata-Version: 2.1
Name: sciparse
Version: 0.1.7
Summary: Python parser for Scientific datasets
Home-page: https://github.com/edmundsj/sciparse
Author: Jordan Edmunds
Author-email: edmundsj@uci.edu
License: MIT
Description: # sciparse - Scientific Dataset parsing
        [![Build](https://github.com/edmundsj/sciparse/actions/workflows/python-package-conda.yml/badge.svg)](https://github.com/edmundsj/sciparse/actions/workflows/python-package-conda.yml) [![docs](https://github.com/edmundsj/sciparse/actions/workflows/build-docs.yml/badge.svg)](https://github.com/edmundsj/sciparse/actions/workflows/build-docs.yml) [![codecov](https://codecov.io/gh/edmundsj/sciparse/branch/main/graph/badge.svg?token=KS3FB8KS3Z)](https://codecov.io/gh/edmundsj/sciparse)
        
        
        
        ## Getting Started
        
        ## Features
        
        ## Common Issues
        
        ## How to Use
        ### Adding Additional Unit Tests
        - Any time you want to add additional unit tests just add them to those in the
        ``tests/`` directory and prepend with the name ``test``. These will be
        automatically found by pytest and run during local commits and remote builds.
        
        ### Writing the Documentation
        - The documentation source is located in ``docs/source`` and is written in
        restructured text (markdown is also available).
        
        ### Building the Documentation
        Simply run ``make html`` from the ``docs/`` directory. This will compile the
        files in the ``docs/source/`` directory, and place them in the main ``docs/``
        directory where github pages can find them.
        
        ## Dependencies / Technologies Used
        - [Sphinx](http://www.sphinx-doc.org/)
        - [pytest](https://docs.pytest.org/en/stable/index.html)
        - [Github Actions](https://github.com/features/actions)
        - [Codecov](https://codecov.io/)
        - [Github Pages](https://pages.github.com/)
        
        ## Acknowledgements
        Thanks to all the great people on stack overflow and github, for their
        seemingly boundless tolerance to my and others' questions. 
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
