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Practical Python programming for data scientists / A. Suresh [and three others].

Contributor(s): Material type: TextPublication details: Ontario, Canada : Arcler Press, c2022.Edition: Second editionDescription: xxi, 320 pages : color illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781774693377 (e-book)
Subject(s): LOC classification:
  • EBOP QA 76.73.P98 P73 2022
Contents:
Chapter 1 : The distinctions of Python language Chapter 2 : Demystifying the data science paradigm Chapter 3 : Python for data analysis Chapter 4 : Python for programming : an introduction Chapter 5 : Functions Chapter 6 : Control structures Chapter 7 : Strings Chapter 8 : Lists
Summary: Data science plays a very vital role in shaping up the process of transitioning data into information and into knowledge. As business enterprises, organizations, governments, IT companies, and service providers are keenly becoming data-driven, the role and responsibility of data scientists are bound to go up significantly. Python is emerging as the leading programming language for data science projects. The aim of the book is to clearly explain how Python simplifies and speeds up the realization of next-generation data science applications.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
E-Books Cavite State University - CCAT Campus Electronic Resources ER EBOP QA 76.73.P98 P73 2022 (Browse shelf(Opens below)) 1 Available EBOP0000091

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Includes bibliographical references and index.

Chapter 1 : The distinctions of Python language
Chapter 2 : Demystifying the data science paradigm
Chapter 3 : Python for data analysis
Chapter 4 : Python for programming : an introduction
Chapter 5 : Functions
Chapter 6 : Control structures
Chapter 7 : Strings
Chapter 8 : Lists

Data science plays a very vital role in shaping up the process of transitioning data into information and into knowledge. As business enterprises, organizations, governments, IT companies, and service providers are keenly becoming data-driven, the role and responsibility of data scientists are bound to go up significantly. Python is emerging as the leading programming language for data science projects. The aim of the book is to clearly explain how Python simplifies and speeds up the realization of next-generation data science applications.

EBOP00091 1

In English text.

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