Workshop: Python
Location:
K1051V, K-building, Linnéuniversitetet, Växjö
Lecturers:
Anders Hast and Ingela Nyström
Date:
21 April, 9:15-11:45
Type:
Workshop
We will begin by exploring essential libraries that make it easy to create both effective and interactive visualizations.
The second half of the workshop will focus on dimensionality reduction techniques for visually identifying outliers in your data and understanding how machine learning models behave.
The workshop will run from 9:15 to 11:45, and there will be plenty of time to try out the different visualization techniques on your own laptop. Instructions on how to install the required libraries will be sent upon registration.
Programme
9:15 InfraVis introduction – Ingela Nyström
9:30 From Static to Interactive Visualisations in Python – Anders Hast
10:15 Break
10:30 Tools for Exploring High-Dimensional Data – Anders Hast
11:30 Wrap-up
This workshop is organised by the national research infrastructure InfraVis.
The tutorial is led by Anders Hast, Uppsala Universitet, and Ingela Nyström, Uppsala Universitet.
Learn more about Python