Introduction to Scientific Python – NumPy, Pandas, xarrays

Abstract:
Building on our previous Python workshop, today we will cover more advanced scientific computing in Python. We will talk about speeding up calculations and working with mathematical arrays with NumPy, working with dataframes in Pandas, and working with scientific datasets with xarray.

Setup & Software Installation:
You need to have Python installed on your device, along with numpy, pandas,  xarray, and netCDF4 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.