OpenSourceEcon/CompMethods
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
This resource helps economists and economic researchers apply advanced computational techniques to their work. It provides practical tutorials and executable Python code for the most common computational methods in economics. You get clear instructions and code examples, which you can use to analyze economic models and data. This is for graduate students, academics, and professional economists who use Python for their research.
112 stars. No commits in the last 6 months.
Use this if you need to implement computational methods like dynamic programming, numerical optimization, or simulation in your economic research using Python.
Not ideal if you are looking for a plug-and-play software application, or if your focus is not on economic modeling and quantitative analysis.
Stars
112
Forks
18
Language
Python
License
GPL-3.0
Category
Last pushed
Dec 15, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/OpenSourceEcon/CompMethods"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science