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Geospatial Development By Example with Python

You're reading from   Geospatial Development By Example with Python Build your first interactive map and build location-aware applications using cutting-edge examples in Python

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785282355
Length 340 pages
Edition 1st Edition
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Author (1):
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Pablo Carreira Pablo Carreira
Author Profile Icon Pablo Carreira
Pablo Carreira
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Toc

Table of Contents (12) Chapters Close

Preface 1. Preparing the Work Environment FREE CHAPTER 2. The Geocaching App 3. Combining Multiple Data Sources 4. Improving the App Search Capabilities 5. Making Maps 6. Working with Remote Sensing Images 7. Extract Information from Raster Data 8. Data Miner App 9. Processing Big Images 10. Parallel Processing Index

Building the basic application structure

There are two main reasons to define a good basic structure for our application:

  • It keeps our code organized
  • It allows us to reuse pieces of code in later applications

Python is a flexible language in terms of code organization, and although users are allowed to write the whole application in a single file, it's preferable to separate the functionalities into modules and packages.

Modules are Python files that contain classes and functions that can be imported into another file with the import statement. Packages are special directories (folders) that contain modules. This leads to organized and well-structured code that is less prone to having bugs and is easier to maintain.

The proposed structure is to have a folder for each chapter. Inside it, we can create packages or files for each application; we will create a package for a common utility code that can be imported and reused and a directory to perform experiments.

Creating the application tree...

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