Intro

Schedule

Date	Session	Title	Description
Day 1	Lecture 1	Intro and Setup	Why Python, Setup, etc
Day 1	Lecture 2	Basic Python	Syntax, data structures, control flow, etc
Day 2	Lecture 3	Numpy + Pandas I	Numpy basics, series + dataframe basics
Day 2	Lecture 4	Pandas II	Joining, advanced indexing, reshaping, etc
Day 3	Lecture 5	Pandas III	Grouping, apply, transform, etc
Day 3	Lecture 6	Plotting	Intro to plotting in Python
Day 3	Lecture 7	Regression Intro	Intro to regressions with Statsmodels

Getting started

Clone this repo

First, you're going to want to get a copy of this repository onto your machine. Simply fire up git and clone it:

1. Open up a shell (e.g. cmd.exe or terminal.app).

2. Navigate to where you'd like to save this. We recommend ~/repos/ (e.g. C:/Users/<user>/repos/ on Windows, /Users/<user>/repos/ on Mac, or /home/<user>/repos/ on Unix).

3. Clone this repo:

   git clone https://github.com/ihmeuw/ihme-python-course.git
   

Saving local changes

You probably want to take notes, etc in your notebooks, so it's best to either fork this repo or just make a local branch to work off of:

1. Use git checkout to make a new branch

   git checkout -b my_branch_name
   

2. Save any changes using git add and then git commit

   git add .
   git commit -m "describe your change"
   

3. To get updates from the master branch, first fetch them:

   git fetch
   

4. Then apply the changes from master to your personal branch:

   git merge origin/master
   

Installing Anaconda

The easy way

Go to the Anaconda download page and download the installer for Python 3.5 (64-bit) and simply click through to follow the instructions

The fancy way

If you'd like to setup a Docker container with Anaconda check out the Docker setup instructions. But be warned that it doesn't play terribly nicely with Windows 7 or 8...

Additional modules

• seaborn

  conda install -c conda-forge seaborn
  

• ggplot

  conda install -c bokeh ggplot
  

• bokeh

  conda install -c bokeh bokeh
  

• statsmodels

  conda install -c conda-forge statsmodels
  

Viewing slideshows

The lectures are all Jupyter notebooks built with the [RISE](https://github.com/damianavila/RISE) live notebook presentation plugin. If you install RISE, you can view them as interactive slideshows (instead of just notebooks). See the RISE page for more info, or simply:

conda install -c damianavila82 rise

Acknowledgments

Significant portions of this course were adapted from the following sources, all of which are licensed under Creative Commons:

• swcarpentry/python-novice-gapminder
• TomAugspurger/pydata-chi-h2t
• fonnesbeck/HealthPolicyPython
• jrjohansson/scientific-python-lectures

License

This work is licensed under a Creative Commons Attribution 3.0 United States License.