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

Python Data Structure and Algorithms Library (α-mode)

1. Installation
2. Usage
3. Development Environment
   • Code Analysis
4. Contributing

To install PyDSA, simply run:

$ python setup.py install

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]

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 development requirements:

pip install -r requirements.txt

To run tests:

$ py.test

coala is used to lint and format code.

To analyze code using coala:

$ coala

There also other checks that you can run with coala:

$ coala pylint # checks the whole codebase against pylint.
$ coala invalidlinks # checks docs for invalid links.
$ coala imports # sort imports

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