This is an attempt to build a cohesive module of algorithms in Python.
The purpose of this repo is to be a learning tool for myself and others.
I used psuedo code from various sources and I have listed them as references in the source code of each algorithm.
- Bubble Sort
- Comb Sort
- Heap Sort
- Insertion Sort
- Quick Sort
- Selection Sort
- Shell Sort
- Bogo Sort
- Cocktail Sort
- Binary Search
- Knuth/Fisher-Yates Shuffle
Requirements are listed in requirements.txt.
If you are using pip and virtualenv you can simply do:
$ pip install -r requirements.txt
To clone the repository simply:
$ git clone https://github.com/nryoung/algorithms.git
in to your working directory.
Once cloned you can simply do the following in your program:
from algorithms.sorting import bubble_sort my_list = bubble_sort.sort(my_list)
All prequisites for the algorithms are listed in the source code for each algorithm.
Nose is used as the main test runner and all Unit Tests can be run by:
$ python algorithms/run_tests.py
Below is an ever changing list of things that I would like to accomplish or implement. If you feel something needs to be added simply do a pull request.
- Algorithms to implement:
- Mersenne Twister
- UUID Generator
- Bloom Filters
- Performance Tests
Copyright (c) 2012 by Nic Young and contributors. See Authors.rst for more details
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