A high performance, open source Python code library for economics
from quantecon.markov import DiscreteDP aiyagari_ddp = DiscreteDP(R, Q, beta) results = aiyagari_ddp.solve(method='policy_iteration')
quantecon we recommend you install the Anaconda Python distribution, which includes a full suite of scientific python tools.
Next you can install quantecon by opening a terminal prompt and typing
pip install quantecon
quantecon has been installed you should be able to import it as follows:
import quantecon as qe
You can check the version by running
If your version is below what’s available on PyPI then it is time to upgrade. This can be done by running
pip install --upgrade quantecon
An alternative is to download the sourcecode of the
quantecon package and install it manually from the github repository. 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
cd QuantEcon.py pip install ./
(To learn the basics about setting up Git see this link.)
Examples and Sample Code
Many examples of QuantEcon.py in action can be found at Quantitative Economics.
QuantEcon.py is supported financially by the Alfred P. Sloan Foundation and is part of the QuantEcon organization (A NumFOCUS fiscally sponsored project).