Big Data

Dask

Allows you to leverage your pandas (dask.dataframe) knowledge in big data situations. 

df-compress

A Python package to compress pandas DataFrames akin to Stata's compress command. This function may prove particularly helpful if you are dealing with large datasets. 

Spatial Data

GIS Methods Course

Sebastian Hohmann's lectures (for economists) on using Python to work with GIS data. An incredible resource that almost single-handedly taught me how to work with spatial data.

dask-geopandas

Similar to Dask, but for GIS data.

Maps in Stata

Asjad Naqvi's guide on using Stata to generate maps.

Other Resources

QSE Models in Julia

Most QSE models' replication packages are available in MATLAB. This repository contains my attempts at translating these models to Julia, a highly efficient and open-source programming language. The goal is to discuss the steps and decisions made by the authors while replicating their findings. Importantly, I value code readability more than computational efficiency, particularly for didactic purposes. Thus, I will consistently avoid turning the equilibrium equations into matrix multiplications, opting for element-wise multiplications instead. Nevertheless, Julia is very efficient when dealing with such operations, hence the computing times remain quite low.

Class Notes on Economics of Electricity (pt-br)

I worked as the TA for Prof. Fulvio Fontini in his Economics of Electricity class. As requested by him, I made some class notes which may prove helpful to others.