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Explorations in Computing (An Introduction to Computer Science and Python Programming)

List Price: $70.99
SKU:
9780367659035
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  • Product Details

    Author:
    John S. Conery
    Format:
    Paperback
    Pages:
    440
    Publisher:
    CRC Press (September 30, 2020)
    Language:
    English
    ISBN-13:
    9780367659035
    Weight:
    37.5oz
    Dimensions:
    7" x 10"
    File:
    TAYLORFRANCIS-TayFran_260403050835162-20260403.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $70.99
    Country of Origin:
    United States
    Series:
    Chapman & Hall/CRC Textbooks in Computing
    Case Pack:
    16
    As low as:
    $67.44
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Imprint:
    Chapman and Hall/CRC
  • Overview

    An Active Learning Approach to Teaching the Main Ideas in Computing
    Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to computer science concepts and computer programming. Designed for CS0 and CS1 courses, it is very well suited for alternative lecture styles, including flipped classrooms.

    Prepares Students for Advanced Work in Computer Science
    A revised and updated version of the author’s Explorations in Computing: An Introduction to Computer Science, this text incorporates two major differences. It now uses Python, instead of Ruby, as the lab software so that students can seamlessly transition from introductory projects to more advanced studies in later courses. The book also introduces Python programming, providing students with sufficient programming skills so they can implement their own programs.

    Practical, Step-by-Step Projects
    The interactive lab projects in each chapter allow students to examine important ideas in computer science, particularly how algorithms offer computational solutions to problems. Students can type expressions, view results, and run experiments that help them understand the concepts in a hands-on way.

    Web Resources
    The Python software modules for each lab project are available on the author’s website. The modules include data files and sample Python code that students can copy and modify. In addition, the site provides a lab manual of installation instructions and tips for editing programs and running commands in a terminal emulator.