About
QuantEcon is a nonprofit organization dedicated to improving economic modeling by enhancing computational tools for economists.
Our activities include
- developing and facilitating the development of open source software for economic modeling, and
- building open, collaborative platforms for sharing, discussing and documenting open source software
Development is centered on open source scientific computing environments such as Python, R and Julia and is hosted on github.
QuantEcon is a NumFocus and PSL Fiscally Sponsored Project.
Contact
Send feedback to contact@quantecon.org
Join the Discourse forum
You can reach out to the QuantEcon team via the Discourse forum.
The forum is a good place to ask questions, get guidance on contributing to the project, or request new lectures or library features.
Donate
QuantEcon is sponsored by NumFOCUS, a U.S. 501(c)(3) nonprofit organization that supports and promotes world-class, innovative, open source scientific software.
Through NumFOCUS, QuantEcon can receive tax-deductible donations to help support ongoing development.
Your donations will go towards:
- developing and facilitating the development of open source software for economic modeling, and
- building open, collaborative platforms for sharing, discussing and documenting open source software
To support the QuantEcon project:
- Donate via NumFOCUS
- Shop in our merchandise store, featuring hoodies, t-shirts, and more
Develop and contribute code
We welcome submission of algorithms and high quality code to QuantEcon.py and QuantEcon.jl on all topics in quantitative economics.
Write a notebook
If you’ve written code related to quantitative economics and want to share it with the community, we encourage you to submit it as a Jupyter notebook to QuantEcon Notes.
Contributing to the lectures
QuantEcon develops and supports the following lecture series for quantitative economics and datascience.
Bug fixes or small updates are welcome as pull requests (PR).
Some PR requirements:
- A PR should address just one lecture
- Python lectures should execute with the latest Anaconda environment. Please update and check prior to submitting your PR.
Information on contributing to the python lectures can be found here