davidrpugh/pyBEA davidrpugh/pyBEA

  • Stars
    star
    65
  • Rank 458,796 (Top 10 %)
  • Language
    Python
  • License
    MIT License
  • Created over 9 years ago
  • Updated about 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
davidrpugh/pyBEA
github

davidrpugh

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

pyeconomics

Computational economics in Python
Fortran
198
star
2

econometrics-labs

Graduate level econometrics labs in Python/R
Python
42
star
3

dockercon-2021-demo

Example project template from my DockerCon 2021 talk
Shell
38
star
4

numerical-methods

Graduate level course on numerical methods for economists
Jupyter Notebook
35
star
5

introduction-to-deep-learning

Course materials for a multi-day course on deep learning.
Jupyter Notebook
33
star
6

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
32
star
7

zice-2014

Course materials for Zurich Initiative for Computational Economics (ZICE) 2014
Python
29
star
8

python-boot-camp

Short introduction to Python programming for Economics graduate students.
Python
24
star
9

sfi-complexity-mooc

A Python-based course on Complexity Economics developed for the Santa Fe Institute (SFI).
Jupyter Notebook
18
star
10

pyCollocation

Python package for solving initial value problems (IVP) and two-point boundary value problems (2PBVP).
Python
17
star
11

penn-world-tables

Python module for generating the Penn World Tables data set.
Python
5
star
12

beyond-microfoundations

Repository for code from my blog...
Python
5
star
13

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
5
star
14

stochastic-expatriate-descent

An expat scientist's musings about machine learning, deep learning, and living abroad.
Jupyter Notebook
5
star
15

introduction-to-graph-neural-networks

Course materials for a multi-day course on graph neural networks
Python
4
star
16

junctionx-kaust-2019

Forecasting Solar Power for NEOM
Jupyter Notebook
4
star
17

Pyreto

Python package for fitting Pareto distributions to data using the Clauset, Shalizi, Newman approach...
Python
3
star
18

introduction-to-computer-vision

Materials for a multi-day course on computer vision
Jupyter Notebook
3
star
19

fpinscala4economists

Working notes on functional programming (in Scala) for economists...
Scala
3
star
20

jupytercon-2020-talk

Repository of materials for my JupyterCon 2020 talk
3
star
21

object-oriented-programming-java

Work completed for the Object Oriented Programming in Java specialization on Coursera
Java
3
star
22

assortative-matching-large-firms

Code for solving Eeckhout and Kircher model of assortative matching between heterogenous firms and workers.
Python
2
star
23

algorithm-and-data-structures

Collection of Jupyter notebooks on algorithms and data structures
Jupyter Notebook
2
star
24

prompt-engineering-for-developers

Materials for a short course on prompt engineering
2
star
25

quadratic-voting-app

Collection of resources on quadratic voting applications
1
star
26

us-banking-sector

Python
1
star
27

2019-11-11-aperc

Workshop website for APERC Software Carpentry Workshop
Python
1
star
28

talks

Repository for all of my talks...
Jupyter Notebook
1
star
29

functional-programming-scala

Work completed for the Functional Programming in Scala specialization on Coursera
JavaScript
1
star