Math is beautiful, but to truly enjoy it one has to walk a long and painful way learning lots of boring stuff before he could see the full landscape. I hope this repo could help those people without a strong math background get some intuitive understanding of the beauty and elegance of math. The topics are chosen largely due to my personal taste:
- They must produce appealing results.
- There must be some non-trivial math behind them.
- The code should be as simple as possible.
I'll use only popular python libs and build all math stuff by hand (tools like sage, sympy, mathemetica will not be used here).
The website for the docs is still under construction and will be released soon.
This repository will be always under construction since there are too many interesting things in math that can be shown by code. Pull requests, issues, questions, and suggestions are all welcomed!
NB: I will only maintain the code for python >= 3.5.
Here is a very small portion of examples that this projects can do:
- Wilson's uniform spanning tree algorithm animation
- Hilbert's curve animation
- Domino shuffling algorithm animation
- Raymarching fractals
- Hopf fibration
- Aperiodic tilings
- Langton's ant animation
- Reaction-diffusion simulation
- Uniform polytopes
- Uniform tilings
- Mobius transformations in hyperbolic 3-space
Each subdirectory in /src/ is a single program (except that glslhelpers is a helper module for running glsl programs and misc is a collection of independent scripts), any file named main.py, run_*.py, example_*.py is an executable script that gives some output.
Here is a list of some algorithms implemented in this project:
- Domino shuffling algorithm
- Hopcroft's DFA minimization algorithm
- Lempel–Ziv–Welch compression algorithm
- Propp-Wilson's coupling from the past algorithm
- Todd-Coxeter coset enumeration algorithm
- Wilson's uniform spanning tree algorithm
- Casselman's minimal roots algorithm
- 2D hyperbolic tilings (Escher's circle limit)
- 3D hyperbolic honeycombs
The recommended way to install all dependencies is simply running the script install_dependencies.sh.
Or you can install the python libs by pip:
pip install -r requirements.txt
A few exceptions are: cairocffi also requires libffi-dev and pygraphviz also requires libgraphviz-dev:
sudo apt-get install libffi-dev libgraphviz-dev
Open source softwares:
python3-tk(for file dialog)ImageMagick(for making gif animations)FFmpeg(for saving animations to video files)POV-Ray(for generating high quality raytracing results)graphviz(for drawing automata of Coxeter groups)
They can all be installed via command-line:
sudo apt-get install python3-tk imagemagick ffmpeg povray graphviz
In the scripts these softwares are called in command line by povray, ffmpeg, convert, etc. For Windows users you should add the directories contain these .exe files to the system Path environment variables. For example on Windows the default location of POV-Ray's exe file is C:\Program Files\POV-Ray\v3.7\bin\pvengine64.exe, so you should add C:\Program Files\POV-Ray\v3.7\bin to system Path and rename pvengine64.exe to povray.exe, then you can run the scripts without any changes and everything works fine.
I have learned a lot from the following people:
see the LICENSE file.