Python for Environmental Data Science

Course Website

The course description, learning goals, format, and outline with links to all activities can be found at the course website.

How to use this repository

1. Fork this repository to create a local copy in your github account. Do this by clicking the "Fork" button in the upper right corner of the repository home page.

2. Clone the forked repository to your local computer

   • Open your Terminal.

   • Type git clone and the the url for your forked copy of this repository, which is https://github.com/<your username>/eds217_2023, where is your github user id.

     The entire command will look like this:

     $ git clone https://github.com/<your username>/eds217_2023

     Note: In the line above, the $ is your terminal prompt. On other systems, the command prompt is something like >, or [username]$. To keep these directions more general, I will just use $ to represent the command prompt throughout our docs. The key point is that you don't need to type this as part of the command.

   • Press Enter. A local clone of the class repository will be created on your local computer.

      $ git clone https://github.com/<your username>/eds217_2023
      > Cloning into eds217_2023...
      > remote: Counting objects: 10, done.
      > remote: Compressing objects: 100% (8/8), done.
      > remove: Total 10 (delta 1), reused 10 (delta 1)
      > Unpacking objects: 100% (10/10), done.
     

     You will now have a new local directory in your instance called eds217_2023/, which contains all of the course materials. We will download and practice using all of the required software to use these course materials on Day 0 of the course.

Course structure ideas for 2024:

1. Lists, numpy, plots with linspace & functions
2. Dictionaries, dataframes, plots with actual data
3. if/else statements and plots
4. For loops and plots
5. Functions??? Classes?????