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Introduction to Python and Its Statistical Applications

Introduction to Python and Its Statistical Applications

Siyu Shi
Copyright: © 2020 |Pages: 35
ISBN13: 9781799827689|ISBN10: 1799827682|ISBN13 Softcover: 9781799827696|EISBN13: 9781799827702
DOI: 10.4018/978-1-7998-2768-9.ch006
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MLA

Shi, Siyu. "Introduction to Python and Its Statistical Applications." Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities, edited by Richard S. Segall and Gao Niu, IGI Global, 2020, pp. 162-196. https://doi.org/10.4018/978-1-7998-2768-9.ch006

APA

Shi, S. (2020). Introduction to Python and Its Statistical Applications. In R. Segall & G. Niu (Eds.), Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities (pp. 162-196). IGI Global. https://doi.org/10.4018/978-1-7998-2768-9.ch006

Chicago

Shi, Siyu. "Introduction to Python and Its Statistical Applications." In Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities, edited by Richard S. Segall and Gao Niu, 162-196. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2768-9.ch006

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Abstract

This chapter introduces the history of Python and its IDEs (integrated development environment) and code editors as developing environment. The history tells how Python started from ABC programming language in the Netherlands to a community with developers from different areas, and later became one of the most popular programming languages in the world. Popular IDEs and Code Editor for professional developers and beginners are also introduced with their advantages and disadvantages. Later in this chapter, the authors introduce Python libraries, which could be used in statistical analysis, and give out a simple case on how these methods can be applied.

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