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How does Python's built-in statistical analysis functions compare to third-party libraries for descriptive statistics?

Statistical hypothesis testing

Exploratory data analysis

Python (programming language)

Android (operating system)

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Python's built-in statistical analysis functions offer a foundational toolkit for conducting statistical analysis tasks. However, when compared to third-party libraries, Python's built-in functions may fall short in supporting data scientists for more advanced descriptive statistics tasks. Third-party libraries like DataPrep.EDA provide a more comprehensive and task-centric approach to exploratory data analysis (EDA) in Python, allowing for the declarative specification of a wide range of EDA tasks with a single function call. These libraries address the limitations of existing Python libraries by offering improved scalability, usability, and customizability, ultimately outperforming traditional built-in functions like those found in Python's standard library. Researchers and data scientists can benefit significantly from leveraging these third-party libraries for more efficient and effective descriptive statistics tasks in Python.

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Open access•Proceedings Article•DOI DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang - Show less +8 more 09 Jun 2021 6 Citations	Python's built-in statistical functions lack task-centric support for EDA, unlike third-party libraries like DataPrep.EDA, which offer superior speed and user experience for descriptive statistics.
Open access•Journal Article•DOI A Short Review of Python Libraries and Data Science Tools G. Mahalaxmi, A. David Donald, T. Aditya Sai Srinivas - Show less +2 more 28 Jan 2023-South Asian research journal of engineering and technology	Python's built-in statistical analysis functions are compared favorably to third-party libraries for descriptive statistics due to Python's modules' rise in popularity among data scientists and app developers.
Book Chapter•DOI Statistical Analysis with Python 19 Oct 2022	Python's built-in statistical functions and third-party libraries offer comprehensive tools for descriptive statistics, providing various options for data analysis tasks efficiently.
Open access•Journal Article•DOI Pingouin: statistics in Python Raphael Vallat 19 Nov 2018 708 Citations	Not addressed in the paper.
Journal Article•DOI LibCapsule: Complete Confinement of Third-Party Libraries in Android Applications 01 Sep 2022-IEEE Transactions on Dependable and Secure Computing 1 Citations	Not addressed in the paper.

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