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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
Pablo Carreira is a Python programmer and a full stack developer living in So Paulo state, Brazil. He is now the lead developer of an advanced web platform for precision agriculture and actively uses Python as a backend solution for efficient geoprocessing. Born in 1980, Brazil, Pablo graduated as an agronomical engineer. Being a programming enthusiast and self-taught since childhood, he learned programming as a hobby and later honored his techniques in order to solve work tasks. Having 8 years of professional experience in geoprocessing, he uses Python along with geographic information systems in order to automate processes and solve problems related to precision agriculture, environmental analysis, and land division.
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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

Installing NumPy

NumPy is a package for scientific computing with Python. It handles multidimensional arrays of operations in a very efficient way. NumPy is required by OpenCV to run and will be used by many raster operations that we will perform in the examples. NumPy is also an efficient data container and will be our tool to calculate massive image data.

Windows

Repeat the same procedure as you did to install OpenCV; however, this time, search for NumPy and choose a file named numpy‑1.9.2+mkl‑cp27‑none‑win32.whl.

Ubuntu Linux

NumPy is automatically installed as a dependency of OpenCV on Ubuntu, but if you want to install it without OpenCV, follow these steps:

  1. Open a new terminal with Ctrl + T.
  2. Then, enter the following command:
    sudo pip install numpy
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Authors (1)

Profile icon Pablo Carreira
Pablo Carreira
Pablo Carreira is a Python programmer and a full stack developer living in So Paulo state, Brazil. He is now the lead developer of an advanced web platform for precision agriculture and actively uses Python as a backend solution for efficient geoprocessing. Born in 1980, Brazil, Pablo graduated as an agronomical engineer. Being a programming enthusiast and self-taught since childhood, he learned programming as a hobby and later honored his techniques in order to solve work tasks. Having 8 years of professional experience in geoprocessing, he uses Python along with geographic information systems in order to automate processes and solve problems related to precision agriculture, environmental analysis, and land division.
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