I took Mark Newman’s course some years ago. It was fantastic! Geared at sophomore/ junior year physics major — someone who had completed the basic intro sequence. I am sure this book is also great.

Could somebody provide some opinion on the book and/or accompanying course?

What physics do I need to know to follow this book?

• griffzhowl

  today at 6:23 PM

  Looks like not much. The book is about using Python to implement numerical methods, mainly about teaching the Python part, and that's all explained. You might be missing motivation if you don't know any physics, but even so, basic mechanics using differential equations seems to be enough to give context, at least for the earlier parts

• mapt

  today at 6:00 PM

  > Exercises by chapter

  Click on a chapter to download:

  Chapter 2: Python programming for physicists

  Chapter 3: Graphics and visualization

  Chapter 4: Accuracy and speed

  Chapter 5: Integrals and derivatives

  Chapter 6: Solution of linear and nonlinear equations

  Chapter 7: Fourier transforms

  Chapter 8: Ordinary differential equations

  Chapter 9: Partial differential equations

  Chapter 10: Random processes and Monte Carlo methods

  Chapter 11: Data science

I did a few courses across academic years that were based around this book and it's very handy skills to learn. Whilst perhaps not in the moment, it's a good introduction to implementing functions and equations, before you lead on to the next steps of specific functions and methods of analysis alongside hpc with parallelization.

good book