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@@ -30,6 +30,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [numpy](https://www.numpy.org) - NumPy is the fundamental package for scientific computing with Python.
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- [scipy](https://www.scipy.org) - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
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- [pandas](https://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.
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- [polars](https://docs.pola.rs/) - Polars is a blazingly fast DataFrame library for manipulating structured data.
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- [quantdsl](https://github.com/johnbywater/quantdsl) - Domain specific language for quantitative analytics in finance and trading.
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- [statistics](https://docs.python.org/3/library/statistics.html) - Builtin Python library for all basic statistical calculations.
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- [sympy](https://www.sympy.org/) - SymPy is a Python library for symbolic mathematics.
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