£57.41

PEARSON EDUCATION Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition

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Last 598 days • 598 data points (No recent data available)

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£58.69 £46.15 £48.89 £51.62 £54.36 £57.09 £59.83 09 June 2024 05 November 2024 03 April 2025 30 August 2025 27 January 2026

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13 days 141 days 118 days 54 days 281 days · current 0 70 141 211 281 £47-50 £50-52 £52-54 £54-56 £56-59 Days at Price

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Most common range: £56-59 (281 days, 46.3%)

Price range: £47 - £59

Price levels: 5 price ranges over 607 days

Description

A ground-breaking, flexible approach to computer science and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs) and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science. The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.

Key Features

New Store Stock

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 September 2021
Listed Since
18 November 2020

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