Metadata-Version: 2.1
Name: FEAutils
Version: 0.0.5
Summary: Helper utilities useful in energy data science
Home-page: https://github.com/future-energy-associates/FEA-helpers
Author: Future Energy Associates
Author-email: hello@futureenergy.associates
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# FEA utils

Useful code snippets and helper methods that Future Energy Associates frequently use for data science.

Install with `pip install feautils`

## Deploy to pypi

Install the package `twine`  
Ensure you have your login to pypi, you will need username and password.  

If you have shell with bash, then make the publish script executable, then run it.  
`chmod +x publish`  
`./ publish` in Windows you can run `bash ./publish`


