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notes_on_data_science_python

In this repo, I will try to document some good stuff that I found in the internet that worth mentioning and installing.

In addition to Anaconda Dist.

  • watermark by Sebastian Raschka

    • An IPython magic extension for printing date and time stamps, version numbers, and hardware information
  • hypertools

    • A python toolbox for visualizing and manipulating high-dimensional data
  • Altair

    • Declarative statistical visualization library for Python

I'm trying to clarify some concepts documented in Jupyter notebooks

Good Read about Python