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ArcPy and ArcGIS: Geospatial Analysis with Python

ArcPy and ArcGIS: Geospatial Analysis with Python

By : Silas Toms
3.9 (11)
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ArcPy and ArcGIS: Geospatial Analysis with Python

ArcPy and ArcGIS: Geospatial Analysis with Python

3.9 (11)
By: Silas Toms

Overview of this book

If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.
Table of Contents (14 chapters)
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13
Index

Python functions–Avoid repeating code

Programming languages share a concept that has aided programmers for decades: functions. The idea of a function, loosely speaking, is to create blocks of code that will perform an action on a piece of data, transforming it as required by the programmer and returning the transformed data back to the main body of code. We've already been introduced to some of Python's built-in functions in the last few chapters, the int function, for instance, will convert a string or a floating number into an integer; now it's time to write our own.

Functions are used because they solve many different needs within programming. Functions reduce the need to write repetitive code, which in turn reduces the time needed to create a script. They can be used to create ranges of numbers (the range() function), or to determine the maximum value of a list (the max function), or to create a SQL statement to select a set of rows from a feature class. They can...

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