Abstract
I will explain the basic principles of the conda-based toolset, recommend best practices for using conda environments and channels, and demonstrate techniques on how to efficiently delete and reinstall everything in under 5 minutes. I also will discuss Python software package discovery and installation strategies in relation to these conda environments and how to efficiently develop your own libraries while being part of a conda environment.
Date
Tuesday, 23 Jun 2020 11:00 MT
Michael Aye
Research Scientist in Planetary Science
My research interests include remote sensing of surfaces, related machine learning studies and open source software.