This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

QUASAR is a state-of-the-art analytics software that empowers decision-makers to optimize models with random parameters.

Model, optimize, and analyze your decisions directly in iPython. Our trial includes many examples as well as a fully functional version of QUASAR. Only the problem size is limited to lattices with a maximum of 50 nodes per stage and 24 stages.

Installation with Anaconda (Windows and intermediate users)

coming soon

Installation with Pypi/pip (Advanced users/Unix users)

Before starting you will need the standard scientific packages and jupyter installed:

pip install numpy scipy jupyter

Then the latest stable version can be installed from Pypi::

pip install pyquasar

Optionally, if you are interested in the latest development version:

pip install -U http://static.quantego.com/releases/pyquasar-dev.tar.gz

Final step is to get the QUASAR Java library. We provide a trial vesion for academic and evaluation use. For productive use please contact us on our website:

wget http://static.quantego.com/releases/quasar-latest-trial.jar

Then set the absolute path to the Jar as environement variable:

export QUASAR_JAR=$(pwd)/quasar-latest-trial.jar

Usage

You can use Pyquasar with Jupyter (recommended) or IPython. For sample notebooks, head over to our sample repo.

Release History

Release History

0.9.3

This version

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0.9.2

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0.9.1

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0.8.9

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0.8.8

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0.8.7

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.8.5

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.8.4

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.8.3

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyquasar-0.9.3.tar.gz (38.2 MB) Copy SHA256 Checksum SHA256 Source Apr 10, 2016

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