s_ranjbar/monthly_energy_balance_results_report
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
650 Commits 2 Branches 75 Tags 178 MiB
Python 100%
fdbf1817c3
Go to file
Peter Yefi fdbf1817c3 Merge branch 'master' of https://rs-loy-gitlab.concordia.ca/Guille/libs
2022-03-18 11:28:44 -04:00
catalogs Small bug fixing in greenery catalog and energy_systems_factory.py 2022-03-09 17:02:12 -05:00
city_model_structure correct small error in merge 2022-03-17 14:49:18 -04:00
config Added new values to configuration.ini for comnet usage 2021-11-15 11:07:16 -05:00
data Merge remote-tracking branch 'origin/master' into heat_pump 2022-03-17 14:34:11 -04:00
exports Merge remote-tracking branch 'origin/master' into heat_pump 2022-03-17 14:34:11 -04:00
helpers Partial implementation for the greenery catalog integration 2022-03-08 20:25:50 -05:00
imports correct another error in merge 2022-03-18 08:33:35 -04:00
unittests Merge remote-tracking branch 'origin/master' into heat_pump 2022-03-17 14:34:11 -04:00
.gitignore Removed unneeded attributes 2022-03-10 12:42:12 -05:00
CODE_OF_CONDUCT.md Update 'CODE_OF_CONDUCT.md' 2020-06-08 10:37:09 -04:00
CONTRIBUTING.md Update 'CONTRIBUTING.md' 2020-06-09 08:48:16 -04:00
LICENSE.md Update 'LICENSE.md' 2020-06-08 10:31:36 -04:00
PYGUIDE.md created weather_factory but not completed 2020-10-28 13:14:05 -04:00
pylintrc Review overall code quality and improve pylintrc 2021-08-30 11:44:19 -04:00
README.md New commit and push 2020-08-07 12:05:25 -04:00
requirements.txt Partial implementation for the greenery catalog integration 2022-03-08 20:25:50 -05:00
WINDOWS_INSTALL.md Update 'WINDOWS_INSTALL.md' 2020-06-26 11:23:41 -04:00

README.md

Libs

Libs is part of Insel4D architecture for the urban simulations, created by the CERC group at Concordia University.

Libs repository contains a set of classes modeling the data for urban environments in the form of:

  • city_model_structure
  • geometry
  • physics
  • usages

Released under LGPL license, will provide an object-oriented, modular approach to urban simulations.

Our aims are:

  • involve as many scientists and contributors as possible
  • provide a complete set of classes that help scientists and students to model urban environments.

Please check the contributing information and code of conduct if you want to contribute, and let us know any new feature you may be of interest for you or your team.