As part of a data sciense course I took, I've created a nice list of tools, that I found usefull. I think you can enjoy them too. I've decided that the right thing to do is publish them to help you with your data sciense journy
This module is still in alpha stages, and should not be used in production. Expect no backward compatibility at this point
This package is released with GPL 3 for private and commertial use.
I don't know. This is the first package I'm trying to build. I promise I'll get back to you when I can
All contributions must follow the following guidelines:
- All module code Must pass with 100% mypy.
- All "type: ignore" comments have to be precided with a comment explaining it
- All module code Must pass pylint with 10/10
- All functionalities must have a pytest unittest. Test can ignore pylint and mypy rules
- All tests must pass
To contribute Just follow these instructions. (https://www.dataschool.io/how-to-contribute-on-github/)