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A collection of F# notebooks used to explore scientific and mathematical topics

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F# science and math notebooks

A collection of F# notebooks used to explore scientific and mathematical topics, usually revolving around implementing the ideas from a specific book. Most of these are highly in-work or little small projects that I get to from time to time depending upon life and also which book I decide to pick up and try something out on. For books that appear, the goal is to eventually work through the book with a complete notebook resulting from that.

Notebooks based on books

The below notebooks contains many images and plots, so it is recommended to use the Jupyter nbviewer links below since GitHub doesn't render notebooks with images very well.

Book name Author(s) GitHub Jupyter nbviewer
The Algorithmic Beauty of Plants Przemyslaw Prusinkiewicz, Aristid Lindenmayer link link
Chaos and Fractals: An Elementary Introduction David P. Feldman link link
A Student's Guide to the Mathematics of Astronomy Daniel Fleisch, Julia Kregenow link link
An Introduction to Stochastic Processes in Physics Don Lemons link link
Computers, Pattern, Chaos, and Beauty: Graphics from an Unseen World Clifford A. Pickover link link
Bayesian Statistics for Beginners: A Step-by-Step Approach Therese M. Donovan, Ruth M. Mickey link link
Information Theory: A Concise Introduction Stefan Hollos, J. Richard Hollos link link

![science-and-math-collage](image

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