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https://github.com/henryiii/compclass

A class over Computational Physics in Jupyter
https://github.com/henryiii/compclass

Last synced: 26 days ago
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A class over Computational Physics in Jupyter

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README

        

# Computational Physics

Welcome to computational physics! This is the repository with the [syllabus](./syllabus/computational.md), [problem sets](./problems), and [lectures](./classes). Other useful links:

* [JupyterBook](https://henryiii.github.io/compclass)
* [This repository official location](https://github.com/henryiii/compclass)
* [Course lecture recordings](https://mailuc-my.sharepoint.com/:f:/g/personal/schreihf_ucmail_uc_edu/EgrKNRgtwTNEi6NGDOMFKZsBAmugjchAT-MetLXUszI_lg?e=Fd65aD)
* [UC Blackboard](https://canopy.uc.edu/) (look for `meta_schreihf_2962 (Meta 18FS-Full) TOPICS IN PHYSICS (001)`)
* [My public blog, ISciNumPy](https://iscinumpy.gitlab.io)

## Installing

To install, download and install miniconda then:

```bash
conda env create
conda activate compclass
```

### Topics and links

These links open a static nbviewer. You can also open binder by clicking [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/henryiii/compclass/master?urlpath=lab) - this may take quite a while to load the first time someone clicks it after a new commit to the repository.

* Week 1
* [Introduction](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week1/0_IntroductionAndLogin.ipynb)
* [Basics of Programming](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week1/1_ProgrammingBasics.ipynb)
* Week 2
* [Object Oriented Programming](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week2/0_ObjectOriented.ipynb)
* [Error Accumulation](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week2/1_errors.ipynb)
* Week 3
* [Numerical Tools](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week3/0_numerics.ipynb)
* [Plotting](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week3/1_plotting.ipynb)
* [How Git Works](https://github.com/henryiii/compclass/blob/master/classes/week3/HowGitWorks2_0b.pdf)
* Week 4
* [Random Numbers](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week4/1_random_numbers.ipynb)
* [Monte Carlo](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week4/2_MC.ipynb)
• [Random Walk](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week4/RandomWalk.ipynb)
* [Projects](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week4/3_projects.ipynb)
• [IPython Magics](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week/IPythonMagics.ipynb)
* Week 5
* [Integration rules](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week5/1_integration.ipynb)
• [Notes](https://github.com/henryiii/compclass/blob/master/classes/week5/Week5Day1.pdf)
* [Monte Carlo Integration](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week5/2_mcintegrate.ipynb)
• [Notes](https://github.com/henryiii/compclass/blob/master/classes/week5/2_mcintegrate.pdf)
* [Numerical Differentiation](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week5/3_differentiation.ipynb)
* Week 6
* [Vectorization](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week6/1_vectorization.ipynb.ipynb)
• [Notes](https://github.com/henryiii/compclass/blob/master/classes/week6/Week6Day1.pdf)
* [Linear Algebra](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week6/2_linearalgebra.ipynb.ipynb)
• String masses:
[Classic](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week6/2_string_masses_classic.ipynb)
• [Final](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week6/2_string_masses_final.ipynb)
• [Sympy](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week6/2_string_masses_sympy.ipynb)
* [Linear Regression](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week6/3_fitting.ipynb)
• [Spline Fit](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week6/3_spline_fit.ipynb)
* Week 7
* [Structured tabular data](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week7/1_pandas.ipynb)
• [worksheet](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week7/1_worksheet.ipynb)
* [Histograms and Cuts](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week7/2_histograms_cuts.ipynb)
* Week 8
* [Generating Distributions](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week8/1_generation.ipynb)
* [Minimizing and Fitting Distributions](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week8/2_fitting.ipynb)
* [Fitting Tools](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week8/3_fittingtools.ipynb)
* Week 9
* [Confidence Intervals](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week9/1_confidence_intervals.ipynb)
* [Markov Chain Monte Carlo](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week9/2_mcmc.ipynb)
* [Performance Computing](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week9/3_performance.ipynb)
* Week 10
* [Intro to ODEs](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week10/1_ode.ipynb)
• [Profiling Code, Reading and Writing Files](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week10/1_pro_file.ipynb)
* [The Runge–Kutta Algorithm](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week10/2_rk.ipynb)
* [Solving ODE Problems](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week10/3_ode_problems.ipynb)
* Week 11: Fourier Series
* [Fourier Series](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week11/1_fourier_series.ipynb)
* [Fast Fourier Transform](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week11/2_FFT.ipynb)
* Week 12: Assorted topics
* [CuPy Fractal](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week12/0_CuPyFractal.ipynb)
* [PyBind11 and Numba](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week12/0_PyBindNumba.ipynb)
* [Fitting Revisited](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week12/1_fitting.ipynb)
* [GUIs](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week12/1_guis.ipynb)
* [Signal Filtering](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week12/2_signalfiltering.ipynb)
* Week 13: Review
* [Review](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week13/1_review.ipynb)
* Week 14
* [Static Computation Graphs](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week14/1_graphs.ipynb)
* [Machine Learning](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week14/2_ml.ipynb)
• [MINST dataset](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week14/2_MNIST.ipynb)
* [Sharing your Code](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/week14/3_sharing.ipynb)
* Optional
* [Overview of Python](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/optional/PythonOptionalOverview.ipynb)
* [Python 3 vs. Python 2](https://nbviewer.jupyter.org/github/henryiii/compclass/blob/master/classes/optional/python3.ipynb)