Skip to main content

Import the main names to top level.

Project description

QuantEcon.py

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')

Build Status Coverage Status Documentation Status

Installation

Before installing quantecon we recommend you install the Anaconda 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:

import quantecon as qe

You can check the version by running

print(qe.__version__)

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

Examples and Sample Code

Many examples of QuantEcon.py in action can be found at Quantitative Economics. See also the

QuantEcon.py is supported financially by the Alfred P. Sloan Foundation and is part of the QuantEcon organization.

Downloading the quantecon Repository

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

pip install flit
flit install

(To learn the basics about setting up Git see this link.)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quantecon-0.7.1.tar.gz (171.4 kB view details)

Uploaded Source

Built Distribution

quantecon-0.7.1-py3-none-any.whl (214.8 kB view details)

Uploaded Python 3

File details

Details for the file quantecon-0.7.1.tar.gz.

File metadata

  • Download URL: quantecon-0.7.1.tar.gz
  • Upload date:
  • Size: 171.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for quantecon-0.7.1.tar.gz
Algorithm Hash digest
SHA256 801a7d5ff0e944856d04bce8d285b32cf5e7151e4775d2a3ea8c963322559861
MD5 bdf1e8c2fc656f1236c350349cd4a7ba
BLAKE2b-256 346df31b282b3d48e4518ccbf9f15e8e1b7c04c055c29e604fde6ffae7fe6fb8

See more details on using hashes here.

File details

Details for the file quantecon-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: quantecon-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 214.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for quantecon-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9447c9909b8ac5993a6325cda142d89906e1435b4785273d68edc62ea6856072
MD5 2fa4e60aa3ab7208e2dfd2793136ce49
BLAKE2b-256 33eae64e1be90daf370f5b190ceb298b9ac92105b3672775dce77acde8ccf603

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page