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Python Library for Urban Optimisation
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Linwal/pyliburo
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to run the environment: 1.) install anaconda for python2.7 instructions on how to use anaconda: http://conda.pydata.org/docs/using/envs.html 2.) libraries to download: a.) conda install lxml (version 3.5.0) (for reading citygml) (BSD) libxml2 and libxslt2 (MIT) b.) pip install pyshp (version 1.2.3) (for reading shapefiles) (mit license) c.) conda install -c https://conda.anaconda.org/dlr-sc pythonocc-core=0.17 (cad kernel for all geometry operations) (GNU LGPL) d.) install occutils, https://github.com/tpaviot/pythonocc-utils/tree/master/OCCUtils, cut and paste into site-packages e.) conda install numpy (1.11.0) (BSD accepted license) f.) conda install scipy (0.17.0) (BSD accepted license) g.) easy_install pycollada (BSD) h.) conda install networkx (BSD) 3.) install Daysim from http://daysim.ning.com/ for the daylighting analysis a.) if c:/daysim/radiance/bin on env path, delete it 5.) conda install spyder (2.3.8) (for editing the scripts)
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