This repository contains materials for a Python based undergraduate bootcamp for the Space Sciences Lab REU program students at UC Berkeley organized from June 7 - 11, 2021. See more details on the Space Sciences Lab education website.

To access these lessons 24/7 including after the bootcamp on Github repository at: github.com/abbyazari/ASSURE-REU.

During the bootcamp (bootcamp students only) you can access these through the 2i2c JupyterHub for Jupyter meets the Earth. You will need your Github account information to access these on the hub.

To access these materials for the bootcamp:

• Log into hub.jupyterearth.org.
• Select the lowest computational option (top option).
• Wait for the hub to load, then when loaded, open the terminal (lower left).
• Type the following into the terminal git clone https://github.com/abbyazari/ASSURE-REU/ and then hit enter.
• Now on the left panel, double click on *CourseIntro.ipynb (under 06_08-Tuesday), raise your virtual hand on Zoom (so we know you have reached this point), and await further instructions.

The following are some useful functions and packages when working in Python with space science data.

• scipy.readsav
• Spiceypy
• Astropy
• Sunpy

A. R. Azari, T. Mercer and the REU Team including: S. Badman, C. Gasque, T. Bowen, and M. Fillingim. We would like to thank 2i2c, Jupyter Meets the Earth, Fernando Pérez, and Erik Sundell for their assitance and generosity in enabling the computational environment supporting these training materials. The tutorials here benefited from tutorials online through the Python for Dynamics and Evolution of Earth and Planets series.