README.md

Intro to Python for Data Analysis Workshop

Setup Instructions

Option 1

If you do have or want to install Python3 and Pip:

• Install Python from https://www.python.org/downloads
  (note: your OS may already have Python installed)

Run the following commands on the command line:

• pip3 install jupyter numpy pandas matplotlib seaborn

Option 2

If you want to use a Docker container:

• Install docker (go to docker.com and follow the instructions)

Run the following commands on the command line:

• docker pull jupyter/scipy-notebook
• docker run -t -i -p 8888:8888 jupyter/scipy-notebook /bin/bash

See this gist for details. https://gist.github.com/painterly/113b32ac6c00c7fd83ab3d36567f2d62

Learning resources

• Intro Python slides
  • http://slides.com/practicaldatascience

Resources for break out sessions

• Pandas Documentation
  • http://pandas.pydata.org/pandas-docs/stable
• Python Documentation
  • http://docs.python.org/3/
• Visualization links
  • http://stanford.edu/~mwaskom/software/seaborn
• Stack Overflow
  • http://stackoverflow.com
• Help functions and docstrings available in the notebook