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Data science and analytics with python / Rogel-Salazar, Jesus

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Boca Raton : Chapman and Hall/CRC, 2017.Description: xxxv, 248 p. ; 25 cmISBN:
  • 1498742092
Subject(s): DDC classification:
  • 006.312 ROG
Summary: The book is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data analytics using tools developed in Python, such as SciKit Learn, Pandas, Numpy, etc. The use of Python is of particular benefit given its recent popularity in the data science community, and the book can be used by seasoned programmers and newcomers alike.
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The book is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data analytics using tools developed in Python, such as SciKit Learn, Pandas, Numpy, etc. The use of Python is of particular benefit given its recent popularity in the data science community, and the book can be used by seasoned programmers and newcomers alike.

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