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ArcPy and ArcGIS: Geospatial Analysis with Python

You're reading from   ArcPy and ArcGIS: Geospatial Analysis with Python Use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783988662
Length 224 pages
Edition 1st Edition
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Python for ArcGIS FREE CHAPTER 2. Configuring the Python Environment 3. Creating the First Python Script 4. Complex ArcPy Scripts and Generalizing Functions 5. ArcPy Cursors – Search, Insert, and Update 6. Working with ArcPy Geometry Objects 7. Creating a Script Tool 8. Introduction to ArcPy.Mapping 9. More ArcPy.Mapping Techniques 10. Advanced Geometry Object Methods 11. Network Analyst and Spatial Analyst with ArcPy 12. The End of the Beginning 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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