The required text reading for the class are available for free online from the UVA library.  You do not need to purchase copies, but only if you like to have a hard copy. 

Tutorials:

• Linux command line: https://learning.rc.virginia.edu/notes/unix-tutorial/
• Rivanna/linux/bash: https://learning.rc.virginia.edu/slides/rivanna-cli/
• Python: https://docs.python.org/3.8/tutorial/
• more Python:  https://learning.rc.virginia.edu/courses/python-introduction/

Main books

Introductory (both have pdf available in Collab resources:

• Main Python book by Sundnes: Introduction to Scientific Programming with Python
• Nice short book by Wood but in python v2: Python and Matplotlib Essentials

2nd half of course:

• Jake VanderPlas, Python Data Science Handbook (free) (code)

More advanced (some of this maybe useful for the class, certainly for students who want to go above and beyond):

Statistics:

• P. Bruce, A. Bruce and P. Gedeck, Practical Statistics for Data Scientists (code).
• Learning Scientific Programming with Python

More Python books:

• Statistical Data Analysis for the Physical Sciences
• Longer book by Nagar: Introduction to Python for Engineers and Scientists

These texts may also be useful, and there may be required reading from them at times:

https://search.lib.virginia.edu/sources/uva_library/items/u7298991  PYTHON data analysis

https://search.lib.virginia.edu/sources/uva_library/items/u8506951 Computer Simulation