Introductory Material: Reference

Key Points

Introduction to Conda
  • conda can be installed in two ways (Anaconda and Miniconda)

  • this tool will prevent headaches when trying to install packages with dependancies or managing multiple libraries/projects

  • projects can be separated by individual environments

  • Reproducible environments can be created easily

  • Most conda packages are friendly across all platforms

  • If you’re not convinced about using conda, read this great blog

Introduction to Jupyter & Jupyterhub
  • The cloud provides on-demand access to infinite computational resources

  • Resources need to be carefully managed, because charges are usually tied to how long resources are held

  • The cloud is great for bursty, high-volume computing, or for some small services you might want to run

Introduction to Cloud Computing for Research

Useful References

These links are the reference for materials covered within the tutorials

Conda Tutorial