These are programming tutorials for the Boulder Solar REU. Ultimately, the goal is to help you feel comfortable manipulating data for your research. The tutorials begin with significant instruction. As they progress, they guide you towards solving independent programming tasks.
python-intro: The notebooks in this folder are intended to give an applications-based comprehensive overview of Python as a programming language. python_tutorial_1.ipynb covers how to navigate Jupyter notebooks, write and evaluate basic expressions in Python, variables and variable types, commenting, and breaking down Python code into smaller parts to understand it. python_tutorial_2.ipynb covers manipulating strings, invoking methods, working with arrays, and user-defined functions.
These notebooks were modified from Berkeley's Data8 data science course: http://data8.org.
reu_programming/programming_1: These files are for the Programming Skills 1 on Day 2 of bootcamp. In this tutorial, you will do an exploratory data analysis of GOES Satellite data that has been pre-uploaded to GitHub for you to use. You will also write functions to do calculations and plot data.
reu_programming/programming_2: These files are for the Programming Skills 2 on Day 3 of bootcamp. In this tutorial, you will retrieve Solar Dynamics Observatory AIA data from the internet, import it into your programming environment, and put it in a format that is easier to work with. Then you will use skills learned in Programming Skills 1 to interpret the data.
