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A Unified Python Framework for Mathematical Finance - Proof of Concept
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We demonstrate a unified Python_ framework for mathematical/computational finance.

We achieve a very significant productivity increase, 
compared to standard industry practices:
   
- Quickly develop new modules and applications.
- Keep the core C++ layers(s) thin - seldom updates. 
- Access different systems and data sources, and run different libraries side-by-side 
  from the same Python script.
- Automate user workflows.
  Typical example - producing *live* documentation, studies, and reports. 
- Complete transparency of user workflows:

  - All underlying data and calculations are displayed in the document, or available via 
    download links.

  - All results can be easily replicated.



.. _Python: http://www.python.org

Contents:

.. toctree::
   :maxdepth: 1

   introduction
   flowchart
   usesCases
   framework
   caseStudy
   analytics/square
   excel/excel
   database/sqlite3csv.rst
   analytics/intRates
   analytics/cpplib
   keepinmind
   setup




Indices and tables
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* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`