UO Ph.410-510c Scientific Computation (Spring 2024) TA Resources

Official Course Site

Data Sources:

• Sloan Digital Sky Survey
• Gaia Archive
• FiveThirtyEight Github

Reference & Python:

• The Python Wiki
• The Python Tutorial
• The Python Language Reference
• The NumPy API Reference
• SciPy documentation
• pandas Documentation
• astropy Documentation
• matplotlib Documentation
• Think Python: How to Think Like a Computer Scientist
• Learning Scientific Programming with Python
• Software Carpentry
• Compusalon and Python for Astronomers are both incomplete but have lots of good exercises and neat examples.
• Python & OpenGL for Scientific Visualization
• Instant Hacking and Instant Python is dated (python2) but crams a lot of concepts into a short intro - think if it as pseudocode.

Good Practices:

• Scientific Python Design Guide
• The Architechture of Open Source Applications
• Python Style Guide
• The Black Code Style
• Boxes: Your Second Python Book

Algorithms & Computation:

• Problem Solving with Algorithms and Data Structures using Python
• Press, Teukolsky, Vetterling and Flannery, Numerical Recipes: The Art of Scientific Computing
• Abelson and Sussman, Structure and Interpretation of Computer Programs (html)
• Knuth, The Art of Computer Programming

Some basic shell use if you need it:

• Unix Shell Intro or Shell Novice
• The Linux Documentation Project’s Absolute Basics and Bash Guide for Beginners

Similar Course(s):

• Caltech Ph. 20/21/22

Additional Problems/Practice: - Project Euler