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Python Library for Urban Optimization

Project Description

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 -c https://conda.anaconda.org/dlr-sc pythonocc-core=0.17

b.) conda install scipy (BSD accepted license)

3.) pip install pyliburo

4.) 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 (for editing the scripts)

6.) download example files from (https://github.com/chenkianwee/pyliburo_example_files)

#========================================================

#list of libraries used in pyliburo

#========================================================

1.) lxml ((BSD) libxml2 and libxslt2 (MIT))

2.) pyshp (mit license)

3.) pythonocc (GNU LGPL3)

4.) numpy (BSD 3-clause “New” or “Revised” License)

5.) scipy (BSD 3-clause “New” or “Revised” License)

6.) pycollada (BSD 3-clause “New” or “Revised” License)

7.) networkx (BSD 3-clause “New” or “Revised” License)

8.) scikit-learn (BSD 3-clause “New” or “Revised” License)

9.) pymf

10.) cvxopt (GNU General Public License v3.0)

11.) matplotlib

Release History

Release History

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0.1a18

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Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyliburo-0.1a18.tar.gz (121.0 kB) Copy SHA256 Checksum SHA256 Source May 2, 2017

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