Stanford-Econ-Programming-Resources

Crowd sourcing programming resouces for Stanford economists

This is a repo to crowdsource useful programming resources and to learn how to use GitHub in the process. If you want to add a link to the list, then please submit a pull request. You can also propose changes to how we structure the document (either in the issues list or in a pull request). Any other thoughts, then create an issue.

Github

Stata

How to make (pretty) maps
Jack Blundell Stata intro
Using “inlist()”. A useful tool that will save you LOTS of time when defining variables.
Stata Forum

Python

QuantEcon. A website with many examples of economic models being solved with Python (and Julia too!).
Cheetsheet by Quantecon for Python; Python vs Matlab vs Julia; Stats: Python pandas vs Stata vs R.
Introduction to Scientific Computing with Python (CME 193). A one-unit course at Stanford – worth taking at some point to see the full capacity of Python.
Stata to Python Cheatsheet
Geeks for Geeks Tutorial on web scraping with Beautiful Soup.
Introduction to data visualization in Python

Matlab

MathWorks. A website that contains many solutions to any coding issues you may face on Matlab.
Tips for Matlab

R

R4DataScience. Free online textbook guiding you how to use R for data science purposes.
R for Data Science (Grolemund and Wickham)
R for economists
A collection of charts in R

Programming for economists

General programming

Toward Data Science. Short articles on all things Python. Want to know how to use some of the packages listed above? There is bound to be an intro here.
QuantEcon Notes
StackOverflow. Online forum where people ask and answer coding questions. Insanely useful!

## Docker