Paperback: 360 pages
Publisher: Manning Publications; 1 edition (May 23, 2016)
Product Dimensions: 7.3 x 0.4 x 9.3 inches
Shipping Weight: 1.2 pounds (View shipping rates and policies)
Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
Best Sellers Rank: #649,360 in Books (See Top 100 in Books) #38 in Books > Computers & Technology > Networking & Cloud Computing > Data in the Enterprise > Electronic Data Interchange (EDI) #77 in Books > Computers & Technology > Web Development & Design > Content Management #302 in Books > Computers & Technology > Graphics & Design > User Experience & Usability
This book could simply stand on the merits of learning the basics of Python, using geospatial data as examples.The author has the ability to take complex principles and present those principles in an uncomplicated manner. The Python code examples are given line by line and does a great job in giving plain and straightforward explanations.Examples are used from many different types of vector and raster data, which gave me the opportunity to learn and understand geospatial formats with which I was not familiar.The book is broken down into logical chapters, each building upon the previous ones. Instruction is given on how to install and configure the Python programming environment. With other books, configuring the environment has not always been that straight forward.Geoprocessing with Python stands above other programming books I have read. What I really like about this particular book is that I can take the knowledge I gained throughout the book and create programs that are practical and useful in my craft as a GIS professional.
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