Computational Physics

Welcome to computational physics! This is the repository with the syllabus, problem sets, and lectures. Other useful links:

• JupyterBook
• This repository official location
• Course lecture recordings
• UC Blackboard (look for meta_schreihf_2962 (Meta 18FS-Full) TOPICS IN PHYSICS (001))
• My public blog, ISciNumPy

Installing

To install, download and install miniconda then:

conda env create
conda activate compclass

Topics and links

These links open a static nbviewer. You can also open binder by clicking - this may take quite a while to load the first time someone clicks it after a new commit to the repository.

• Week 1
  • Introduction
  • Basics of Programming
• Week 2
  • Object Oriented Programming
  • Error Accumulation
• Week 3
  • Numerical Tools
  • Plotting
  • How Git Works
• Week 4
  • Random Numbers
  • Monte Carlo • Random Walk
  • Projects • IPython Magics
• Week 5
  • Integration rules • Notes
  • Monte Carlo Integration • Notes
  • Numerical Differentiation
• Week 6
  • Vectorization • Notes
  • Linear Algebra • String masses: Classic • Final • Sympy
  • Linear Regression • Spline Fit
• Week 7
  • Structured tabular data • worksheet
  • Histograms and Cuts
• Week 8
  • Generating Distributions
  • Minimizing and Fitting Distributions
  • Fitting Tools
• Week 9
  • Confidence Intervals
  • Markov Chain Monte Carlo
  • Performance Computing
• Week 10
  • Intro to ODEs • Profiling Code, Reading and Writing Files
  • The Runge–Kutta Algorithm
  • Solving ODE Problems
• Week 11: Fourier Series
  • Fourier Series
  • Fast Fourier Transform
• Week 12: Assorted topics
  • CuPy Fractal
  • PyBind11 and Numba
  • Fitting Revisited
  • GUIs
  • Signal Filtering
• Week 13: Review
  • Review
• Week 14
  • Static Computation Graphs
  • Machine Learning • MINST dataset
  • Sharing your Code
• Optional
  • Overview of Python
  • Python 3 vs. Python 2