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Raspberry Pi 3 Cookbook for Python Programmers

You're reading from   Raspberry Pi 3 Cookbook for Python Programmers Unleash the potential of Raspberry Pi 3 with over 100 recipes

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Product type Paperback
Published in Apr 2018
Publisher
ISBN-13 9781788629874
Length 552 pages
Edition 3rd Edition
Languages
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Authors (2):
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Steven Lawrence Fernandes Steven Lawrence Fernandes
Author Profile Icon Steven Lawrence Fernandes
Steven Lawrence Fernandes
Tim Cox Tim Cox
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Tim Cox
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with a Raspberry Pi 3 Computer 2. Dividing Text Data and Building Text Classifiers FREE CHAPTER 3. Using Python for Automation and Productivity 4. Predicting Sentiments in Words 5. Creating Games and Graphics 6. Detecting Edges and Contours in Images 7. Creating 3D Graphics 8. Building Face Detector and Face Recognition Applications 9. Using Python to Drive Hardware 10. Sensing and Displaying Real-World Data 11. Building Neural Network Modules for Optical Character Recognition 12. Building Robots 13. Interfacing with Technology 14. Can I Recommend a Movie for You? 15. Hardware and Software List 16. Other Books You May Enjoy

Computing the Euclidean distance score

The first step in building a recommendation engine includes finding similar users in the database. The Euclidean distance score is one of the measures to find similarities.

Getting ready

NumPy (Numerical Python) needs to be installed on Raspberry Pi 3 to calculate Euclidean distance. Readers can install numpy by typing the following command in the Raspberry Pi 3 Terminal:

sudo apt-get -y install python-numpy 

How to do it...

  1. We will create a new Python file and import the following packages into it:
import json 
import numpy as...
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