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@@ -46,7 +46,6 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [hasura/base-python-bokeh](https://platform.hasura.io/hub/projects/hasura/base-python-bokeh) - Hasura quickstart to visualize data with bokeh library.
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- [pysabr](https://github.com/ynouri/pysabr) - SABR model Python implementation.
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- [FinancePy](https://github.com/domokane/FinancePy) - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
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- [FinancePy-Examples](https://github.com/domokane/FinancePy-Examples) - Examples of how to use FinancePy
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- [gs-quant](https://github.com/goldmansachs/gs-quant) - Python toolkit for quantitative finance
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- [willowtree](https://github.com/federicomariamassari/willowtree) - Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
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- [financial-engineering](https://github.com/federicomariamassari/financial-engineering) - Applications of Monte Carlo methods to financial engineering projects, in Python.
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