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README.md
@@ -918,6 +918,7 @@ _Libraries for scientific computing. Also see [Python-for-Scientists](https://gi
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- [SimPy](https://gitlab.com/team-simpy/simpy) - A process-based discrete-event simulation framework.
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- [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python.
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- [SymPy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics.
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+- [shapely](https://github.com/shapely/shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
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- [Zipline](https://github.com/quantopian/zipline) - A Pythonic algorithmic trading library.
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