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Wingo's Python Tutorials For research

These notebooks have been compiled as a service for several of my colleagues who know a little python for scripting, but would like to develop more robust, flexible code.

Who's this for?

Anyone who is interested in learning some basic python, with a slant toward the data sciences.

Why not teach using package XX?

I'm attempting to first provide a solid foundation of how python works and what it can do instead of teaching to a basic package. However, focus on some basic datascience modules/packages, such as numpy and matplotlib, will be introduced fairly early. Other, more advanced frameworks (such as UI libraries) will be discussed and included as requested.

Why present using Jupyter notebooks?

A few resaons; namely:

  • The notebooks allow the free mingling of Python code and decorated text.
  • Allows for interactive code presentation, allowing the user to play with the code.
  • Jupyter notebooks are directly viewable in github.
  • Each person can download their own separate copy to add their own notes, etc.

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Teaching materials in Jupyter notebooks for coworkers and friends alike

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