Links to some good lecture notes and other useful online resources
The internet is a really cool place when it comes to learning literally anything and everything, provided you know where to find the right pdf file! That’s why I have decided to keep a page where I can curate some of the lecture notes that I’ve enjoyed studying. Moreover, the sheer number of lecture videos available of YouTube is mind boggling. I have benefited from many such lectures and decided to include them here as well. I hope that some of you guys will find this page useful.
Of course, before reading any further,
- you should drop by David Tong’s page if you are looking for some amazing lecture notes on a varitey of topics in theoretical physics.
- you should also check out Luca Bombelli’s treasure trove of notes and references on a plethora of topics in hep-th. Warning! Don’t get lost in the maze. WAYBACK MACHINE LINK Oct 2021.
Programming Resources for Scientific Computing
Python
- Mathematical Python, Patrick Walls, University of British Columbia.
- Computational Statistics using Python (2017), Cliburn Chan and Janice McCarthy, Duke University.
- Computational Statistics and Statistical Computing (2018), Cliburn Chan, Duke University.
- Programming for Computations (Python version), Svein Linge and Hans Petter Langtangen.
- Python Programming and Numerical Methods: A Guide for Engineers and Scientists, Qingkai Kong, Timmy Siauw and Alexandre M. Bayen, UC Berkeley and Academic Press (2021).
- Introduction to Scientific Programming with Python, Joakim Sundnes, Springer (2020).
- Think Python, 2nd Edition, Allen B. Downey, O’Reilly Media, Inc. (2015).