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Adding builtin library statistics as python numerical tool

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Gustavo Pantuza Coelho Pinto
2016-10-05 17:22:00 -03:00
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@@ -20,6 +20,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [scipy](https://www.scipy.org) - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. - [scipy](https://www.scipy.org) - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
- [pandas](http://pandas.pydata.org) - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. - [pandas](http://pandas.pydata.org) - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
- [quantdsl](https://github.com/johnbywater/quantdsl) - Domain specific language for quantitative analytics in finance and trading - [quantdsl](https://github.com/johnbywater/quantdsl) - Domain specific language for quantitative analytics in finance and trading
- [statistics](https://docs.python.org/3/library/statistics.html) - Builtin Python library for all basic statistical calculations
### Financial Instruments ### Financial Instruments