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Design of Experiments in Python
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ci Merge branch 'master' into remove-model Oct 12, 2016
dexpy Added imports to ensure float division. Jun 17, 2018
examples Added some code for the optimal design example. Jun 17, 2018
.gitignore Added code for the seaborn plots in the optimal example. Jun 12, 2017
.landscape.yml Ignore docs folder in Oct 11, 2016
LICENSE Added appendix to apache license so licensee will pick it up. Oct 19, 2016 Added installation instructions to readme. Oct 27, 2016
appveyor.yml Turned off build in appveyor. Oct 12, 2016
circle.yml Disabled auto generation of gh-pages docs. Nov 26, 2016
codecov.yml Added config file for Oct 19, 2016


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dexpy is a Python package for Design of Experiments.


dexpy can be installed using pip, which will install the dependencies automatically. Windows users should see the note below.

pip install dexpy

Dependencies on Windows

dexpy uses numpy and scipy, which can be difficult to build on Windows via pip. You may consider to using Anaconda or Miniconda to install prebuilt numpy/scipy binaries. This can be done by creating an environment containing these packages.

conda create --name dexpy_env numpy scipy pandas patsy
activate dexpy_env
pip install dexpy




dexpy is licensed under the Apache 2.0 license. Details can be found in the LICENSE file.

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