Python for simple data visualizations

Abstract:
Building on our two previous Python workshops, today we will look at various packages to do simple plotting and data visualization in Python. In the hands-on part, we will focus on matplotlib which is a well-established Python plotting library for for creating static and animated visualizations in Python.

Setup & Software Installation:
You need to have Python installed on your device, along with matplotlib and numpy libraries.

Presenters:
Marie-Hélène Burle. An evolutionary and behavioural ecologist by training, Software/Data Carpentry instructor, and open source advocate, Marie-Hélène Burle develops and delivers training for researchers on high-performance computing tools (R, Python, Julia, Git, Bash scripting, machine learning, parallel scientific programming, and HPC) for Simon Fraser University and the Digital Research Alliance of Canada. 

Alex Razoumov earned his Ph.D. in computational astrophysics from the University of British Columbia and held postdoctoral positions in Urbana-Champaign, San Diego, Oak Ridge, and Halifax. He spent five years as an HPC Analyst in SHARCNET and in 2014 moved back to Vancouver to focus on scientific visualization and training researchers to use advanced computing tools. Alex is currently based at Simon Fraser University.

This event will be held ONLINE.

(A zoom link will be sent to registrants 24 hours before event start.)