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It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. It offers a comprehensive set of built-in statistical functions and packages for hypothesis testing, regression analysis, time series analysis, survival analysis, and more.

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Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. It includes regression, classification, clustering, decision trees, and more. It can be easily ported to multiple platforms.

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Introduction to R Programming For Data Science

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