AIO: Bridging the Gap Between Data Science and IO

This article gives a brief overview of git, why it's important (even for social scientists) and then walks you through how to set up your first repository in github, clone your repo, make a commit, and then push that commit back to github using the bash shell.

This post explains the differences between doing math on a python list, which is native to python and math on NumPy arrays, which are created using the NumPy package. Focus on the differences, how to do the same math in each case and why and how it's useful for social scientists/ I/Os.

Comparing and contrasting running a linear regression on the Boston housing data in python and R. This post shows how to use both the statsmodels and scikit learn packages in python and the lm function in R.

This post is an overview of how to install an R kernel in Jupyter after you have already installed Jupyter Notebook.

This post gives a brief background into why I find Data Science important for Social Scientists and walks you through how to install and use a python virtual environment that leverages Jupyter Notebooks on your computer.