Metadata-Version: 2.1
Name: belousov-zhabotinsky
Version: 0.6.1
Summary: Simulation of the Belousov-Zhabotinski reaction using ASCII art
Home-page: https://github.com/neumann-mlucas/belousov-zhabotinsky
Author: Lucas Stefan Minuzzi Neumann
Author-email: neumannmlucas@gmail.com
License: UNKNOWN
Description: # Belousov-Zhabotinsky
        
        ![](demo.gif)
        
        ## About
        
        **The python package you never knew you needed!**
        Now you can appreciate all the glory of the Belousov-Zhabotinsky reaction (and also Turing Patterns) from the comfort of your console window in a state of the art *ASCII art* rendering.
        Your life will never be the same!
        
        BONUS: easy to play around with the parameters and colors/chars. Since version 0.5 supports n-fold symmetrical grid ('cos why not).
        
        Both the belousov-zhabotinsky reaction and turing patterns are classical examples of non-linear dynamics in chemical systems(or reaction-diffusion systems). Their dynamics can by described by simple systems of non-linear equations:
        
        __BZ Equations:__
        
        
        <img src="https://latex.codecogs.com/svg.latex?\large&space;a_{t+1}=a_t+a_t({\alpha}b_t-{\gamma}c_t)" title="\large a_{t+1}=a_t+a_t({\alpha}b_t-{\gamma}c_t)" class="center" />
        
        <img src="https://latex.codecogs.com/svg.latex?\large&space;b_{t+1}=b_t+b_t({\beta}c_t-{\alpha}a_t)" title="\large b_{t+1}=b_t+b_t({\beta}c_t-{\alpha}a_t)" class="center" />
        
        <img src="https://latex.codecogs.com/svg.latex?\large&space;c_{t+1}=c_t+c_t({\gamma}a_t-{\beta}b_t)" title="\large c_{t+1}=c_t+c_t({\gamma}a_t-{\beta}b_t)" class="center" />
        
        
        __TP Equations:__
        
            WIP
        
        
        *The oscillatory behavior is only possible because those systems are far from thermodynamical equilibrium -- so there's no violation of the 2nd law. In the real word the oscillation will slowly die out due to dissipation of entropy.*
        
        You can learn more about the belousov-zhabotinsky reaction here:
        
        https://en.wikipedia.org/wiki/Belousov-Zhabotinsky_reaction
        
        Dynamics and Chaos - Steven H. Strogatz
        
        Chaotic Dynamics, an indroduction - G. L. Baker and J. P. Gollub
        
        Inspired by the following blog posts:
        
        https://scipython.com/blog/simulating-the-belousov-zhabotinsky-reaction/
        
        http://www.degeneratestate.org/posts/2017/May/05/turing-patterns/
        
        ## Installation
        
        > *No python 2 support*
        
        > *Needs numpy and scipy*
        
        You can pip install the python module with the following command
        
        `pip install --user belousov-zhabotinsky`
        
        ## Usage
        
        `$ belousov-zhabotinsky`
        
        Check options with:
        `$ belousov-zhabotinsky --help`
        
        You can exit the program by pressing any key, but the Ctrl key may cause your terminal window to bug
        
        
        ## Future
        
        > Update README.md and add a math overview
        
        
        > Write tests
        
        
        > ~~Make it faster~~
        
        
        > Implement a screen saver
        
        
        My *First GitHub project; HOORAY!*
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
