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Data Science and Analytics with Python

Data Science and Analytics with Python

Data Science and Analytics with Python Hardback - 2025

by Jesus Rogel-Salazar

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Hardback. New.

Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This has led to book becoming a key textbook among practitioners and students.

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Details

  • Title Data Science and Analytics with Python
  • Author Jesus Rogel-Salazar
  • Binding Hardback
  • Condition New
  • Pages 474
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2025-06-02
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # A9781032772523
  • ISBN 9781032772523 / 1032772522
  • Weight 2.41 lbs (1.09 kg)
  • Dimensions 9.25 x 7.5 x 1.13 in (23.50 x 19.05 x 2.87 cm)
  • Category Computers - General Information
  • Library of Congress subjects Python (Computer program language), Mathematical statistics - Data processing
  • Library of Congress Catalogue Number 2024040350
  • Dewey Decimal Code 519.502
  • Quantity available 1

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From the publisher

Since the first edition of "Data Science and Analytics with Python" we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This has led to book becoming a key textbook among practitioners and students.

About the author

Dr Jess Rogel-Salazar is a Lead Data Scientist with experience in the field working for companies such as The Ortus Group, TympaHealth, Barclays Bank, AKQA, IBM Data Science Studio, Dow Jones and others. He is a visiting researcher at the Department of Physics, and the Business School at Imperial College London, UK and a a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter.

He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book Essential Matlab and Octave and the companion book to this volume Advanced Data Science and Analytics with Python and Statistics and Data Visualisation with Python, also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism, telematics, fintech and healthtech.

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