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Update Readme.md (#27)
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@@ -213,7 +213,8 @@ Note: the one marked as `Live Trading` has reasonable live trading support for a
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- Modelling
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- [Scipy](https://github.com/scipy/scipy) | `Python`, `C` | - Fundamental algorithms for scientific computing in Python
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- [statsmodels](https://github.com/statsmodels/statsmodels/)  - Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
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- [PyMC](https://github.com/pymc-devs/pymc) | `Python` | - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
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- [PyMC](https://github.com/pymc-devs/pymc)  | `Python` | - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
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- [DEAP](https://github.com/DEAP/deap)  |`Python`| - Distributed Evolutionary Algorithms in Python
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- DataFrame
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- [Pandas](https://github.com/pandas-dev/pandas)  | `Python`, `Cython` | - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- [Polars](https://github.com/pola-rs/polars) | `Rust`, `Python` | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
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