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What is this repo?

This repo contains a series of Learning Units. A Learning Unit is one hour of material meant to convey a few related concepts in the form of

• a short (<15 min) presentation
• some example notebooks
• some open-ended practice exercises

During the academy, we will be going through these one-by-one listening to the instructors give their short presentations, checking out the examples, and doing the practice exercises.

Usage

Inside the units directory, there are 16 directories, each of them containing a Learning Unit of roughly the following format:

├── README.md
├── data
├── examples
└── practice

• The README.md is meant to be viewed in a browser on github.com and contains.
  • The purpose of the unit.
  • The concepts being presented.
  • A link to the presentation.
  • The practice assignment.
• The data directory contains the datasets that the instructors have chosen for the examples and practice exerciess.
• A examples directory that contains notebooks that have a bunch of code already filled in. You don't HAVE to write any code here but you should play around with the stuff that's already written to get a feel for the code.
• A practice directory that contains an empty notebook. This is where you should implement your solutions to the assignment presented in the README.

Setup

1. Do the setup.
2. Clone this repo.
   • Just do whatever you did to clone the setup repo except for this one instead.
3. Open a jupyter notebook and navigate to the units directory of this repo
   • If you used anaconda, just navigate to where you cloned this repo
   • If you're using Docker, run run-jupyter-notebook.sh