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Learning Geospatial Analysis With Python, 2Nd Edition
Item #: 67808192

Learning Geospatial Analysis With Python, 2Nd Edition

Item #: 67808192

SAR 292

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    What Stands Out

    Comprehensive Content
    This edition offers an in-depth exploration of geospatial analysis techniques, making it ideal for beginners and advanced users looking to enhance their Python skills in spatial data handling.
    Hands-On Learning
    Includes practical examples and projects that enable users to apply their knowledge immediately, bridging the gap between theory and real-world application in geospatial contexts.
    Updated Tools
    Incorporates the latest libraries and tools in Python for geospatial analysis, ensuring readers are well-versed in current technologies for enhanced analytical capabilities.

    Product Details

    Discover the power of geospatial analysis with Python. Get the 2nd edition of the popular book. Shop now at Ubuy Saudi Arabia and enhance your spatial data skills.
    Book TitleLearning Geospatial Analysis With Python, 2Nd Edition
    ISBN9781783552429
    Publication Year2015
    TypeTextbook
    FormatTrade Paperback
    LanguageEnglish
    Subject AreaComputers, Technology & Engineering
    Publication NameLearning Geospatial Analysis with Python-Second Edition
    AuthorJoel Lawhead
    PublisherPackt Publishing, The Limited
    SubjectData Visualization, Remote Sensing & Geographic Information Systems, Programming Languages / Python, Software Development & Engineering / Systems Analysis & Design
    Number of Pages394 Pages
    Item Weight2 lbs (910 grams)

    Who Should Buy?

    Suitable For
    • Data Analysts

      Ideal for data analysts seeking to enhance their skills in geospatial analysis using Python tools and libraries.

    • GIS Professionals

      Perfect for GIS professionals wanting to integrate Python for advanced geospatial data processing and visualization.

    • Students Learning

      Beneficial for students in geography or data science programs who need a practical approach to geospatial analysis.

    Not Suitable For
    • Beginners in Python

      Not suitable for complete beginners in Python programming as prior knowledge is assumed for effective learning.

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    Pros

    • Comprehensive learning resource
    • Easy to follow examples
    • Great for beginners and experts
    • Hands-on projects included
    • Clear explanations of concepts

    Cons

    • Some sections could be more detailed.

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