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Intro to Python for Computer Science and Data Science

By: By: Material type: TextTextLanguage: English Publication details: Noida, Uttar Pradesh: PEARSON, 2022Description: 831ISBN:
  • 9789353949518
Subject(s): DDC classification:
  • 005.133 (PYT) DEI
Summary: Introduction to Python for Computer Science and Data Science takes a unique, modular approach to teaching and learning introductory Python programming that is relevant for both computer science and data science audiences. The Deitels cover the most current topics and applications to prepare you for your career. Jupyter Notebooks supplements provide opportunities to test your programming skills. Fully implemented case studies in artificial intelligence technologies and big data let you apply your knowledge to interesting projects in the business, industry, government and academia sectors. Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of December - 2023
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design CSE & IT 005.133 (PYT) DEI (Browse shelf(Opens below)) Available E13807
Book Book Alliance College of Engineering and Design CSE & IT 005.133 (PYT) DEI (Browse shelf(Opens below)) Available E13808
Reference Book Reference Book Alliance College of Engineering and Design CSE & IT 005.133 (PYT) DEI (Browse shelf(Opens below)) Not for loan E13806
Book Book Alliance College of Engineering and Design CSE & IT 005.133 (PYT) DEI (Browse shelf(Opens below)) Checked out 13/08/2024 E13809
Book Book Alliance School of Liberal Arts 005.133 (PYT) DEI (Browse shelf(Opens below)) Available LA02184
Total holds: 0

Introduction to Python for Computer Science and Data Science takes a unique, modular approach to teaching and learning introductory Python programming that is relevant for both computer science and data science audiences. The Deitels cover the most current topics and applications to prepare you for your career. Jupyter Notebooks supplements provide opportunities to test your programming skills. Fully implemented case studies in artificial intelligence technologies and big data let you apply your knowledge to interesting projects in the business, industry, government and academia sectors. Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.

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