Exploring the Future Potential of AI-Enabled Smartphone Processors
20170927 py data_n3_bokeh_plotly
1. Part 1: Interactive visualisations
Andrey Vykhodtsev anvykhod@Microsoft.com
Cloud Solution Architect, Data & AI
PyDataLjubljanaMeetup#3
2. Agenda
Welcome to PyData meetup #3!
This group is sponsored by PyData &
NumFocus
Snacks and venue are provided by
Agenda
Part 1: Interactive visualisations with
Bokeh, Plotly, Dash and Flask (30-40
min)
Part 2: Automation and measurements
with Python (30-40 min)
3. Agenda(part1)
Bokeh hands-on overview
What is bokeh
Main structures
Data Sources
Applications
Plotly & Dash
Quick intro to Plotly and Dash
Examples and demos
Embedding your visualizations into Flask
applications
Publishing your Flask apps to Azure App Services
4. WhatisBokeh
Python library for building rich interactive
visualizations
Translated to JS (BokehJS)
Can be embedded into a web app or distributed
standalone