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My Jupyter notebooks!

Python 0.12% Jupyter Notebook 99.81% HTML 0.05% C++ 0.02% C 0.01% CMake 0.01%

notebooks's Introduction

Notebooks

These Jupyter notebooks, apart from a few random experiments, are attempts at comprehensive coverage of technical books to help me own the material as I read.

The parent folders are books, with usually one notebook per chapter. Almost all exercises are attempted and most have full solutions. Most books also have a good amount of extra visualizations, explanations, experiments and animations.

I hope people get use out of these! Please create issues for any errors you find. Pull requests are very welcome :)

Viewing the notebooks

To view and run these notebooks, I recommend using colab. Simply add the GitHub path of the notebook like:

https://colab.research.google.com/github/${PATH}

For example,

https://colab.research.google.com/github/khiner/notebooks/blob/master/mathematics_of_the_dft/chapter_7_fourier_theorems_for_the_dft.ipynb

Note: These notebooks are all best viewed in light mode (not dark mode)

Running the notebooks

Only Mac run instructions for now, but I believe running on Linux (and maybe even Windows?) should just require a different pipenv install. Let me know via a GH issue if you run into problems here and I will fix.

Mac

$ git clone [email protected]:khiner/notebooks.git && cd notebooks
$ git submodule update --init --recursive
$ xcode-select --install
$ brew install pipenv
$ pipenv install
$ pipenv shell
(notebooks)$ jupyter-notebook

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