In-Workshop Resources

Resources to use during the workshop sessions.

• Preliminary Workshop Agenda
  • All workshop sessions will be held in the Munk Conference Room at IGPP (Munk 303)
• Creating a Conda Environment
  • Conda commands
  • Creating a new environment from scratch
  • Creating a new environment from an environment.yml file
  • Exporting your environment to a yml file
• Programming with Python
  • Session Overview
  • What is programming with Python?
  • Basic Mathematical Operations
  • Variables
  • Importing Packages
  • If statements and For loops
  • Creating Functions
• Python Plotting
  • Set Up
  • Visualizing Data with Matplotlib
• Version Control with Git
  • The Unix Shell
  • Personal Git Workflows
  • Version Control With Git
  • Navigating GitHub
• Python For Earth and Natural Sciences
  • SciPy (the Scientific Python Library)
  • Parallelization with Dask
  • Gridded Data with Xarray
  • Geometric Data with GeoPandas
  • Plotting with Cartopy
• Workflows for Earth Science
  • Collaborating with Git
  • Git Exercise 1: Adding collaborators to a repository and creating feature branches
  • Git Exercise 2: Opening Pull Requests and Assigning Reviewers
  • Git Exercise 3: Reviewing Code, Merging into Main, Updating Feature Branches, Resolving Conflicts
  • Collaborative Git Best Practices
  • Open Source Software Best Practices
  • Thinking About Data Storage for Open Science
  • Migrating Your Workflow to a Remote Server
  • Bash Scripting
  • AI Agents and Tools for Coding