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

Learning Geospatial Analysis With Python, 2Nd Edition

Item #: 67808192

PKR 24547

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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 Pakistan 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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