Software used: Python 2.7, Jupyter Notebook, Seaborn, Pandas, MS Excel.
Tools Used: Python 2.7, Jupyter Notebook, Seaborn
The session was to learn scripting in python to generate the visual graphs of the data generated from the fitness criteria for the design generated in grasshopper. For this, the data collected was from the project created in initial session of this workshop in which four rooms were generated around a courtyard. This data was conditioned through scripting in jupyter notebook. Finally, through Seaborn library the graphs of the same data were generated in jupyter notebook.
Rajkumar Dindor is an architect graduated from Faculty of Architecture, CEPT University, India. He has been teaching as a Visiting Faculty at CEPT University since 2018 and also runs his own architecture & design practice with his partner, Prachi Nagar, at Ahmedabad.