Raspberry Pi 3 cookbook for Python programmers : unleash the potential of Raspberry Pi 3 with over 100 recipes / Tim Cox, Dr. Steven Lawrence Fernandes.

Format:

Book

Author/Creator:

Cox, Tim, author.

Fernandes, Steven L., author.

Language:

English

Subjects (All):

Raspberry Pi (Computer)--Programming.

Raspberry Pi (Computer).

Python (Computer program language).

Physical Description:

1 online resource (552 pages)

Edition:

Third edition.

Other Title:

Raspberry Pi three cookbook for Python programmers

Place of Publication:

Birmingham : Packt, 2018.

System Details:

text file

Summary:

A recipe-based guide to programming your Raspberry Pi 3 using Python About This Book Leverage the power of Raspberry Pi 3 using Python programming Create 3D games, build neural network modules, and interface with your own circuits Packed with clear, step-by-step recipes to walk you through the capabilities of Raspberry Pi Who This Book Is For This book is for anyone who wants to master the skills of Python programming using Raspberry Pi 3. Prior knowledge of Python will be an added advantage. What You Will Learn Learn to set up and run Raspberry Pi 3 Build text classifiers and perform automation using Python Predict sentiments in words and create games and graphics Detect edges and contours in images Build human face detection and recognition system Use Python to drive hardware Sense and display real-world data Build a neural network module for optical character recognition Build movie recommendations system In Detail Raspberry Pi 3 Cookbook for Python Programmers ? Third Edition begins by guiding you through setting up Raspberry Pi 3, performing tasks using Python 3.6, and introducing the first steps to interface with electronics. As you work through each chapter, you will build your skills and apply them as you progress. You will learn how to build text classifiers, predict sentiments in words, develop applications using the popular Tkinter library, and create games by controlling graphics on your screen. You will harness the power of a built in graphics processor using Pi3D to generate your own high-quality 3D graphics and environments. You will understand how to connect Raspberry Pi's hardware pins directly to control electronics, from switching on LEDs and responding to push buttons to driving motors and servos. Get to grips with monitoring sensors to gather real-life data, using it to control other devices, and viewing the results over the internet. You will apply what you have learned by creating your own Pi-Rover or Pi-Hexipod robots. You will also learn about sentiment analysis, face recognition techniques, and building neural network modules for optical character recognition. Finally, you will learn to build movie recommendations system on Raspberry Pi 3. Style and approach Written in a cookbook style, this book contains a series of recipes on various topics. It is an easy-to-follow step-by-step guide with examples of feature integration suitable for any search application.

Contents:

Cover

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

Table of Contents

Preface

Chapter 1: Getting Started with a Raspberry Pi 3 Computer

Introduction

Introducing Raspberry Pi

What's with the name?

Why Python?

Python 2 and Python 3

Which version of Python should you use?

The Raspberry Pi family - a brief history of Pi

Which Pi to choose?

Connecting to Raspberry Pi

Getting ready

How to do it...

There's more...

Secondary hardware connections

Using NOOBS to set up your Raspberry Pi SD card

How it works...

Changing the default user password

Ensuring that you shut down safely

Preparing an SD card manually

Expanding the system to fit in your SD card

Accessing the RECOVERY/BOOT partition

Using the tools to back up your SD card in case of failure

Networking and connecting your Raspberry Pi to the internet via an Ethernet port, using a CAT6 Ethernet cable

Using built-in Wi-Fi and Bluetooth on Raspberry Pi

Connecting to your Wi-Fi network

Connecting to Bluetooth devices

Configuring your network manually

Networking directly to a laptop or computer

Direct network link

See also

Networking and connecting your Raspberry Pi to the internet via a USB Wi-Fi dongle

Using USB wired network adapters

Connecting to the internet through a proxy server

Connecting remotely to Raspberry Pi over the network using VNC

Getting ready.

How to do it...

Connecting remotely to Raspberry Pi over the network using SSH (and X11 forwarding)

Running multiple programs with X11 forwarding

Running as a desktop with X11 forwarding

Running Pygame and Tkinter with X11 forwarding

Sharing the home folder of Raspberry Pi with SMB

Keeping Raspberry Pi up to date

Chapter 2: Dividing Text Data and Building Text Classifiers

Building a text classifier

Pre-processing data using tokenization

Stemming text data

Dividing text using chunking

Building a bag-of-words model

Applications of text classifiers

Chapter 3: Using Python for Automation and Productivity

Using Tkinter to create graphical user interfaces

Creating a graphical application - Start menu

Displaying photo information in an application

Organizing your photos automatically

Chapter 4: Predicting Sentiments in Words

Building a Naive Bayes classifier

Logistic regression classifier

Splitting the dataset for training and testing

Evaluating the accuracy using cross-validation

Analyzing the sentiment of a sentence

Identifying patterns in text using topic modeling

How to do it.

Applications of sentiment analysis

Chapter 5: Creating Games and Graphics

Using IDLE3 to debug your programs

Drawing lines using a mouse on Tkinter Canvas

Creating a bat and ball game

Creating an overhead scrolling game

Chapter 6: Detecting Edges and Contours in Images

Loading, displaying, and saving images

Image flipping

Image scaling

Erosion and dilation

Image segmentation

Blurring and sharpening images

Detecting edges in images

Histogram equalization

How to do it…

Detecting corners in images

Chapter 7: Creating 3D Graphics

Getting started with 3D coordinates and vertices

Camera

Shaders

Lights

Textures

Creating and importing 3D models

Creating or loading your own objects

Changing the object's textures and .mtl files

Taking screenshots

Creating a 3D world to explore

Building 3D maps and mazes

The Building module

Using SolidObjects to detect collisions

Chapter 8: Building Face Detector and Face Recognition Applications

Building a face detector application

Building a face recognition application

How it works...

Applications of a face recognition system

Chapter 9: Using Python to Drive Hardware

Controlling an LED

Controlling the GPIO current

Responding to a button

Trying a speaker or headphone with Raspberry Pi

Safe voltages

Pull-up and pull-down resistor circuits

Protection resistors

A controlled shutdown button

Resetting and rebooting Raspberry Pi

Adding extra functions

The GPIO keypad input

Generating other key combinations

Emulating mouse events

Multiplexed color LEDs

Hardware multiplexing

Displaying random patterns

Mixing multiple colors

Writing messages using persistence of vision

Chapter 10: Sensing and Displaying Real-World Data

Using devices with the I2C bus

Using multiple I2C devices

I2C bus and level shifting

Using just the PCF8591 chip or adding alternative sensors

Reading analog data using an analog-to-digital converter

Gathering analog data without hardware

Logging and plotting data

Plotting live data

Scaling and calibrating data

Extending the Raspberry Pi GPIO with an I/O expander

There's more.

I/O expander voltages and limits

Using your own I/O expander module

Directly controlling an LCD alphanumeric display

Capturing data in an SQLite database

The CREATE TABLE command

The INSERT command

The SELECT command

The WHERE command

The UPDATE command

The DELETE command

The DROP command

Viewing data from your own webserver

Security

Using MySQL instead

Sensing and sending data to online services

Chapter 11: Building Neural Network Modules for Optical Character Recognition

Visualizing optical characters

Building an optical character recognizer using neural networks

Applications of an OCR system

Chapter 12: Building Robots

Building a Rover-Pi robot with forward driving motors

Darlington array circuits

Transistor and relay circuits

Tethered or untethered robots

Rover kits

Using advanced motor control

Motor speed control using PWM control

Using I/O expanders

Building a six-legged Pi-Bug robot

Controlling the servos

The servo class

Learning to walk

The Pi-Bug code for walking

Controlling servos directly with ServoBlaster

Using an infrared remote control with your Raspberry Pi

Avoiding objects and obstacles

How to do it.

Notes:

Previous edition published: 2017.

Description based on print version record.

OCLC:

1035517229