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PyNance

Lightweight Python library for assembling and analysing financial data. Wraps Pandas and matplotlib for maximum ease of use in accomplishing routine tasks in working with financial data.

Documentation

Detailed documentation at PyNance website.

Dependencies

Tested on:

PyNance will also work with other versions of Python and Python packages. To verify that it works with yours, simply run the unit tests for data retrieval, then try making some charts with sample data you retrieve.

Additional dependencies for the pynance.options module:

Building the docs

To build the documentation using Sphinx outside of a virtual Python environment, go to ./doc and type make html. If you are using a virtual environment for any dependencies, you will need to add sphinx and numpydoc to the virtual environment before building the documentation. Explanation here. In other words, from within your virtual environment:

$ pip install sphinx
$ pip install numpydoc

Then build the documentation using make html.

Development environment

To set up your virtual environment for development:

$ mkvirtualenv -p /usr/local/bin/python pn-dev
$ python setup.py develop

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