Discover @davidrpugh Open Source projects

David R. Pugh (@davidrpugh)

davidrpugh

Stars
637
Global Rank 46,723 (Top 2 %)
Followers 375
Following 2
Registered over 12 years ago
Most used languages

Python
44.4 %

Jupyter Notebook
37.0 %

Shell
3.7 %

Scala
3.7 %

Java
3.7 %

Fortran
3.7 %

JavaScript
3.7 %
Location 🇸🇦 Saudi Arabia
Country Total Rank 14
Country Ranking

Fortran
1

Scala
2

Shell
6

Jupyter Notebook
8

Python
18

Java
75

JavaScript
315

pyeconomics

Computational economics in Python

pyBEA

Python package for downloading data from the Bureau of Economic Analysis (BEA) data API.

econometrics-labs

Graduate level econometrics labs in Python/R

dockercon-2021-demo

Example project template from my DockerCon 2021 talk

machine-learning-for-tabular-data

Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost

Jupyter Notebook

numerical-methods

Graduate level course on numerical methods for economists

Jupyter Notebook

introduction-to-deep-learning

Course materials for a multi-day course on deep learning.

Jupyter Notebook

zice-2014

Course materials for Zurich Initiative for Computational Economics (ZICE) 2014

python-boot-camp

Short introduction to Python programming for Economics graduate students.

sfi-complexity-mooc

A Python-based course on Complexity Economics developed for the Santa Fe Institute (SFI).

Jupyter Notebook

pyCollocation

Python package for solving initial value problems (IVP) and two-point boundary value problems (2PBVP).

penn-world-tables

Python module for generating the Penn World Tables data set.

junctionx-kaust-2019

Forecasting Solar Power for NEOM

Jupyter Notebook

beyond-microfoundations

Repository for code from my blog...

evolution-of-social-behavior

Model of the co-evolution by natural selection of an individually costly cooperative behavior trait together with a preference for social partners who bear that trait.

Jupyter Notebook

stochastic-expatriate-descent

An expat scientist's musings about machine learning, deep learning, and living abroad.

Jupyter Notebook

introduction-to-graph-neural-networks

Course materials for a multi-day course on graph neural networks

Pyreto

Python package for fitting Pareto distributions to data using the Clauset, Shalizi, Newman approach...

introduction-to-computer-vision

Materials for a multi-day course on computer vision

Jupyter Notebook

assortative-matching-large-firms

Code for solving Eeckhout and Kircher model of assortative matching between heterogenous firms and workers.

fpinscala4economists

Working notes on functional programming (in Scala) for economists...

jupytercon-2020-talk

Repository of materials for my JupyterCon 2020 talk

object-oriented-programming-java

Work completed for the Object Oriented Programming in Java specialization on Coursera

prompt-engineering-for-developers

Materials for a short course on prompt engineering

algorithm-and-data-structures

Collection of Jupyter notebooks on algorithms and data structures

Jupyter Notebook

quadratic-voting-app

Collection of resources on quadratic voting applications

2019-11-11-aperc

Workshop website for APERC Software Carpentry Workshop

us-banking-sector

talks

Repository for all of my talks...

Jupyter Notebook

functional-programming-scala

Work completed for the Functional Programming in Scala specialization on Coursera