PyDSA

Mailing List: https://groups.google.com/forum/#!forum/pydsa

Python Data Structure and Algorithms Library (α-mode)

1. Installation
2. Usage
3. Development Environment
4. Contributing

Installation

To install PyDSA, simply run:

$ python setup.py install

Usage

In [1]: from pydsa import quick_sort

In [2]: a = [2, 10, 10, 2, 7, 7, 2, 5, 4, 10]

In [3]: quick_sort(a)
Out[3]: [2, 2, 2, 4, 5, 7, 7, 10, 10, 10]

In [1]: from pydsa import merge_sort

In [2]: b = [5, 1, 2, 3, 4, 3, 9, 7, 8, 5]

In [3]: merge_sort(b)
Out[3]: [1, 2, 3, 3, 4, 5, 5, 7, 8, 9]

Development Environment

The source code is managed with the Git version control system. To get the latest development version and access to the full repository, clone the repository from Github with:

$ git clone https://github.com/pydsa/pydsa.git

You should then install the dependency for running the tests:

• pytest

To run tests:

$ py.test

Contributing

There are multiple ways you can contibute to Pydsa

• Add missing documentation.
• Add/improve efficiency of algorithms or Data structures.
• Report bugs.
• Request/Submit new algorithms.

Use github's Pull request/issues feature for all contributions.

• Contributing to PyDSA
• Writing and Running Tests in PyDSA
• Project Ideas
• RGSoC 2016 Student Instructions