Adapt Conda material

[ns-rse]

We would like to use some of the Conda environments for effective and reproducible research material as a basis for teaching the basics of the command line.

Sections we want to have covered, not necessarily in as much detail...

• Getting Started with Conda
  • What are the key terms I need to understand such as ‘package’, ‘dependency’ and ‘environment’?
  • Why should I use a package and environment management system as part of my research workflow?
  • What is Conda and why should I use it?
• Working with Environments
  • What is a Conda environment?
  • How do I create (delete) an environment?
  • How do I activate (deactivate) an environment?
  • How do I install packages into existing environments using Conda?
  • How do I find out what packages have been installed in an environment?
  • How do I find out what environments that exist on my machine?
  • How do I delete an environment that I no longer need?
• Using pip and Conda
  • What should I do if a Python package isn’t available via a Conda channel?
• Sharing Environments
  • Creating Environment Files using --from-history to limit what is captured.
  • Updating an Environment
  • Installing via Pip in environment.yaml

Need to make sure attribution is clearly given to comply with Creative Commons License under which the material is licensed.