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https://github.com/QuantEcon/QuantEcon.py
A community based Python library for quantitative economics
https://github.com/QuantEcon/QuantEcon.py
Last synced: 1 day ago
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A community based Python library for quantitative economics
- Host: GitHub
- URL: https://github.com/QuantEcon/QuantEcon.py
- Owner: QuantEcon
- License: mit
- Created: 2013-03-22T00:27:36.000Z (over 11 years ago)
- Default Branch: main
- Last Pushed: 2024-08-30T02:12:26.000Z (3 months ago)
- Last Synced: 2024-10-29T15:35:13.594Z (15 days ago)
- Language: Python
- Homepage: https://quantecon.org/quantecon-py/
- Size: 18.3 MB
- Stars: 1,977
- Watchers: 151
- Forks: 2,258
- Open Issues: 73
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Citation: CITATION.cff
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README
# QuantEcon.py
A high performance, open source Python code library for economics
```python
from quantecon.markov import DiscreteDP
aiyagari_ddp = DiscreteDP(R, Q, beta)
results = aiyagari_ddp.solve(method='policy_iteration')
```[![Build Status](https://github.com/QuantEcon/QuantEcon.py/actions/workflows/ci.yml/badge.svg)](https://github.com/QuantEcon/QuantEcon.py/actions?query=workflow%3Abuild)
[![Coverage Status](https://coveralls.io/repos/QuantEcon/QuantEcon.py/badge.svg)](https://coveralls.io/r/QuantEcon/QuantEcon.py)
[![Documentation Status](https://readthedocs.org/projects/quanteconpy/badge/?version=latest)](https://quanteconpy.readthedocs.io/en/latest/?badge=latest)## Installation
Before installing `quantecon` we recommend you install the [Anaconda](https://www.anaconda.com/download/) Python distribution, which includes a full suite of scientific python tools. **Note:** `quantecon` is now only supporting Python version 3.5+. This is mainly to allow code to be written taking full advantage of new features such as using the `@` symbol for matrix multiplication. Therefore please install the latest Python 3 Anaconda distribution.
Next you can install quantecon by opening a terminal prompt and typing
pip install quantecon
## Usage
Once `quantecon` has been installed you should be able to import it as follows:
```python
import quantecon as qe
```You can check the version by running
```python
print(qe.__version__)
```If your version is below what’s available on [PyPI](https://pypi.python.org/pypi/quantecon/) then it is time to upgrade. This can be done by running
pip install --upgrade quantecon
## Examples and Sample Code
Many examples of QuantEcon.py in action can be found at [Quantitative Economics](https://lectures.quantecon.org/). See also the
* [Documentation](https://quanteconpy.readthedocs.org/en/latest/)
* [Notebook gallery](https://notes.quantecon.org)QuantEcon.py is supported financially by the [Alfred P. Sloan Foundation](http://www.sloan.org/) and is part of the [QuantEcon organization](https://quantecon.org).
## Downloading the `quantecon` Repository
An alternative is to download the sourcecode of the `quantecon` package and install it manually from [the github repository](https://github.com/QuantEcon/QuantEcon.py/). For example, if you have git installed type
git clone https://github.com/QuantEcon/QuantEcon.py
Once you have downloaded the source files then the package can be installed by running
pip install flit
flit install(To learn the basics about setting up Git see [this link](https://help.github.com/articles/set-up-git/).)
## Citation
QuantEcon.py is MIT licensed, so you are free to use it without any charge and restriction. If it is convenient for you, please cite QuantEcon.py when using it in your work and also consider contributing all your changes back, so that we can incorporate it.
A BibTeX entry for LaTeX users is
```bibtex
@article{10.21105/joss.05585,
author = {Batista, Quentin and Coleman, Chase and Furusawa, Yuya and Hu, Shu and Lunagariya, Smit and Lyon, Spencer and McKay, Matthew and Oyama, Daisuke and Sargent, Thomas J. and Shi, Zejin and Stachurski, John and Winant, Pablo and Watkins, Natasha and Yang, Ziyue and Zhang, Hengcheng},
doi = {10.5281/zenodo.10345102},
title = {QuantEcon.py: A community based Python library for quantitative economics},
year = {2024},
journal = {Journal of Open Source Software},
volume = {9},
number = {93},
pages = {5585}
}
```