Computing Resources Computing is an invaluable resource for the physical sciences. As the need arises, I will post notes on using Jupyter or Mathematica notebooks here.
Cautionary note for some browsers: By default some browsers download jupyter notebooks as text files (extension .txt). Before you are able to open the file properly in jupyter you will need to change this extension.
Week 2: Our first efforts at Monte Carlo integration. Note that my first example is a false Monte Carlo algorithm where I sample the interval uniformly. The random sampling begins about half way down the notebook:
- Hal's implementation: notebook.
Week 1: Our first exercises in defining expectation values, variances, numerical differentiation and numerical integration:
- Hal's implementation: notebook.
Some Python basics if you want to explore:
- Instructions for downloading and installing Anaconda: pdf.
- Instructions for Python and Jupyter 1: Lists, Plotting, and Fitting, pdf. The Lists, Plotting, and Fitting notebook.
- Instructions for Python and Jupyter 2: Interacting with graphics and defining functions notebook. Download this figure to run the interactive part of the notebook Radius1.jpg.
- Python and Jupyter Practice on plotting gaussians: notebook.
