Statistical Computing in Python and R

Notebooks and reference for most routine tasks in data-management and econometrics in R and Python [typically written in jupyter notebooks / forked and exported with to HTML H1-H4 headers for easy reference using the html-toc extension].

R

• Data munging
  • DT ~ dplyr
  • data.table
    • notebook; src
• ggplot notes (based on Kieran Healy’s draft book)
  • notebook; src
• spatial (based on the in-progress Pebesma-Bivand Book)
  • notebook
• MHE Replication / Applied Econometrics Notes -
  • Notes from Classes - temporarily out of commission
  • Old
• Sqlite / Google Bigquery with R
  • notebook
• Tidyverse Non standard evaluation [outdated; use rlang instead]

Python

• Numpy
  • basics notebook
  • Numpy-Matlab-Julia Cheatsheet
• Python data science
  • QuantEcon Data science link
  • Tom Augspurger’s Modern Pandas
  • basics notebook;
  • gist reference
• Econometrics
  • notebook
  • MHE Examples
• Maths etc
  • General
  • JRJ Notes
  • Teaching Repo
• Spatial
  • Overview / Teaching Notebook
  • Intermediate
  • Vector Data + Nunn 2009 replication
  • Conda environment specifications for working GIS stack gist
  • Dan Arribas’ Geographical Data Science notes
  • GDS Book-in-progress

Julia

• Quant-Econ
• Applied Linear Algebra

General

• QuantEcon Cheatsheets

Translation notes

• Data.table ~ Pandas
• Dplyr ~ Pandas
• Stop using Stata [open science and proprietary software are fundamentally antithetical]
  • Stata ~ R
  • Stata ~ Python