LDSSA / bootcamp

LDSA Bootcamp SLUs
http://lisbondatascience.org
MIT License
17 stars 7 forks source link

Until Academy Launch

Bootcamp introduction presentation

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

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.

You will probably not have time to read the Learning Notebooks during the Bootcamp. That's ok, you have them as references for future study, and for consultation as needed.

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

Usage

If (when) you have doubts about the materials

Please checkout the How to Ask for Help section

If (when) you find bugs, typos or minor mistakes

This repo is completely open source and is continuously improving over time. When you spot a mistake, please check whether it has been detected in the issues. If it hasn't, please open an issue, explaining in details where it is (e.g. in what notebook, and on what line), and how to reproduce the error. If it is an easy fix, feel free to make a pull request.

Structure

Inside the units directory, there are 19 directories, each of them containing a Learning Unit of roughly the following format:

├── README.md
├── data
├── Examples Notebook - <name of the Learning Unit> 
├── Exercise Notebook - <name of the Learning Unit> 
├── Learning Notebook - <name of the Learning Unit>