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This release is a pre-release and may not be stable for production use.

Pandas Little Helper

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

Warning

This module is still in alpha stages, and should not be used in production. Expect no backward compatibility at this point

License

This package is released with GPL 3 for private and commertial use.

How to install

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

How to contribute

All contributions must follow the following guidelines:

  1. All module code Must pass with 100% mypy.
  2. All "type: ignore" comments have to be precided with a comment explaining it
  3. All module code Must pass pylint with 10/10
  4. All functionalities must have a pytest unittest. Test can ignore pylint and mypy rules
  5. All tests must pass

To contribute Just follow these instructions. (https://www.dataschool.io/how-to-contribute-on-github/)

How to I talk to you?

guruyaya@gmail.com

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