bokeh: Data Visualization in Python | Tutorials
Bokeh is a powerful data visualization library that creates fully interactive plots and integrates well with the data analysis tools you already know and love: pandas, matplotlib, seaborn, ggplot. Bokeh can produce stand-alone browser-based plots and much more sophisticated server-hosted visualizations. Learn to use bokeh to create everything from basic graphs to advanced interactive plots, dashboards, and data applications. Incorporate bokeh within your Jupyter/IPython notebooks, Partner bokeh with other libraries such as matplotlib, seaborn, pandas, and ggplot, Learn about bokeh server: to serve up even more impressive realtime visualizations, Explore configurations and settings, Recognize and overcome common problems
Chalmer Lowe
Chalmer Lowe founded PyHawaii, the largest programming meetup in Hawaii and served as the Chairman of the Python Education Summit (2015, 2016). He co-founded Dark Art of Coding, a programming school to enable him and his son to fulfill their passion of teaching Python and Data Analysis to geeks at home, at work and in the community. He performs data analysis for his employer: Booz Allen Hamilton and teaches Python to his colleagues, clients and anyone who will stand still long enough.
Room 8
Wednesday, 17th May, 13:20 - 16:40
