pyDLA

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Simple project to investigate Diffusion-Limited Aggregation (and teach me python)

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Diffusion-Limited Aggregation
=============================

Simple project to investigate [Diffusion-Limited Aggregation](http://en.wikipedia.org/wiki/Diffusion-limited_aggregation) (and teach me python). The project starts off with a single seed at the centre of a lattice. We then release [random walkers](http://en.wikipedia.org/wiki/Random_walk) at a certain radius from the seed: if they come into contact with seed they join it and a new walker is released. Conversely, if they wander too far from the centre, the walker is eliminated and a new one spawned.

To run, first download the script:

$ git clone git://github.com/hemmer/pyDLA.git
    $ cd pyDLA

First make sure your system meets the requirements, then to run enter:

$ ./dla.py

Updates
-------

As a result of this [forum thread](http://codereview.stackexchange.com/questions/4336/code-review-of-small-scientific-project-particuarly-array-vs-list-perform), a much faster version of the code was suggested by user Winston Ewert that uses the `NumPy` libraries more efficiently. I have uploaded this version as a branch for reference, which you can checkout using:

$ git checkout numpyFast

Requirements
------------

This script requires the `NumPy` and `matplotlib` libraries to run. To install these on Ubuntu:

$ sudo apt-get install python-numpy python-matplotlib

Examples
--------

![Crystal Growing](https://raw.githubusercontent.com/hemmer/pyDLA/master/img/n50000.png) . 
![Crystal Growing around a box](https://raw.githubusercontent.com/hemmer/pyDLA/master/img//n20000.png)

pyDLA

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