09-03, 09:00–10:30 (UTC), Track 2 (Baroja)
The tutorial will be a a tour of the getting-started how-tos of the major Python data visualization libraries such as Yt-Project, Seaborn, Altair, Plotly
Python and it ecosystem is used nowadays in many scientific context as an advanced data visualization tool.
There a wide variety of visualization libraries. The tutorial will focus on primarly on :
For each one it will be shown how to use it in Jupyter, exploring the getting started examples, and letting the audience propose data set to visualize.
At the end of the tutorial, the participants will fill a pros/cons table with an online voting mechanism.
If time will allow, a short view of other libraries may be included.
A Tour of the Data Visualization Ecosystem of Python
Python Skill Level –basic
Domain Expertise –some
Domains –Data Visualisation, Jupyter, Open Source, Statistics, Vector and array manipulation
Assistant Professor of Computer Systems and Cognitive Robotics
Python user since 2001. Core developer of Python3.7-based TaLTaC italian tool for text mining