A community based Python library for quantitative economics
jviada_QuantEcon.py
jviada
Overview
Abstract
## Quantitative Economics (Python)
This repository collects code for quantitative economic modeling in Python
Libary Website: [http://quantecon.org](http://quantecon.org)
### Downloading the Repository
Either
* Click the 'Download ZIP' button on the right, or
* Use [Git](https://help.github.com) to clone the repository
### The quantecon Package
This repository includes the Python package `quantecon`
Assuming you have [pip](https://pypi.python.org/pypi/pip) on your computer --- as will be the case if you've [installed Anaconda](http://quant-econ.net/getting_started.html#installing-anaconda) --- you can install the latest stable release of `quantecon` by typing
pip install quantecon
at a terminal prompt
#### Current Build and Coverage Status:
[](https://travis-ci.org/QuantEcon/QuantEcon.py)
[](https://coveralls.io/r/QuantEcon/QuantEcon.py)
## Additional Links
1. [Project Coordinators](http://quantecon.org/about/#people)
2. [Lead Developers](http://quantecon.org/about/#people)
3. [QuantEcon Course Website](http://quant-econ.net)
### License
Copyright © 2013, 2014 Thomas J. Sargent and John Stachurski: BSD-3
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY
WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
Authoring entity
| Agency Name | Role |
|---|---|
| jviada | owner |
Language
English
Methods, software and scripts
Software
| Name | Libraries or packages used |
|---|---|
| Python |
IPython, pdb, tables, contextlib, lqramsey, io, os, textwrap, version, urllib, distutils, hashlib, mock, sys, utilities, market, lucas_stokey, math, functools, cStringIO, mpl_toolkits, tempfile, chaos_class, matplotlib, collections, re, random, fractions, evans_sargent, numba, quantecon, glob, pygments, numpy, ast, subprocess, nose, numbers, warnings, time, sympy, amss, sphinx_rtd_theme, pip, scipy, networkx, md5, __future__, pandas, sphinx, unittest, LakeModel, docutils, calibrations, pylab, duopoly_mpe
|
| Batchfile | |
| Shell |
License
| Name |
|---|
| BSD 3-Clause "New" or "Revised" License |
Metadata production
Producers
| Name | Role |
|---|---|
| GitHub Bot | bot |
Date of Production
01 December 2019