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Raspberry Pi cookbook for Python programmers

4.8 (13)

Raspberry Pi cookbook for Python programmers

4.8 (13)

Overview of this book

Raspberry Pi Cookbook for Python Programmers

Raspberry Pi Cookbook for Python Programmers

Credits

Credits

About the Author

About the Author

About the Reviewers

About the Reviewers

www.PacktPub.com

www.PacktPub.com

Preface

Preface

Free Chapter

Getting Started with a Raspberry Pi Computer

Getting Started with a Raspberry Pi Computer

Introduction

Connecting the Raspberry Pi

Using NOOBS to set up your Raspberry Pi SD card

Networking and connecting your Raspberry Pi to the Internet via the LAN connector

Configuring your network manually

Networking directly to a laptop or computer

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

Connecting to the Internet through a proxy server

Connecting remotely to the Raspberry Pi over the network using VNC

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

Sharing the home folder of the Raspberry Pi with SMB

Keeping the Raspberry Pi up to date

Starting with Python Strings, Files, and Menus

Starting with Python Strings, Files, and Menus

Introduction

Working with text and strings

Using files and handling errors

Creating a boot-up menu

Creating a self-defining menu

Using Python for Automation and Productivity

Using Python for Automation and Productivity

Introduction

Using Tkinter to create graphical user interfaces

Creating a graphical application Start menu

Displaying photo information in an application

Organizing your photos automatically

Creating Games and Graphics

Creating Games and Graphics

Introduction

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

Creating 3D Graphics

Creating 3D Graphics

Introduction

Starting with 3D coordinates and vertices

Creating and importing 3D models

Creating a 3D world to roam in

Building 3D maps and mazes

Using Python to Drive Hardware

Using Python to Drive Hardware

Introduction

Controlling an LED

Responding to a button

A controlled shutdown button

The GPIO keypad input

Multiplexed color LEDs

Sense and Display Real-world Data

Sense and Display Real-world Data

Introduction

Using devices with the IC bus

Reading analog data using an analog-to-digital converter

Logging and plotting data

Extending the Raspberry Pi GPIO with an I/O expander

Sensing and sending data to online services

Creating Projects with the Raspberry Pi Camera Module

Creating Projects with the Raspberry Pi Camera Module

Introduction

Getting started with the Raspberry Pi camera module

Using the camera with Python

Generating a time-lapse video

Creating a stop frame animation

Making a QR code reader

Building Robots

Building Robots

Introduction

Building a Rover-Pi robot with forward driving motors

Using advanced motor control

Building a six-legged Pi-Bug robot

Avoiding objects and obstacles

Getting a sense of direction

Interfacing with Technology

Interfacing with Technology

Introduction

Automating your home with remote sockets

Using SPI to control an LED matrix

Communicating using a serial interface

Controlling the Raspberry Pi over Bluetooth

Controlling USB devices

Hardware and Software List

Hardware and Software List

Introduction

General component sources

Hardware list

Software list

Index

Index

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Reading analog data using an analog-to-digital converter

The I2CTools (used in the previous section) are very useful for debugging I²C devices on the command line, but they are not practical for use within Python, as they would be slow and require significant overhead to use. Fortunately, there are several Python libraries that provide I²C support, allowing efficient use of I²C to communicate with connected devices and provide easy operation.

We will use such a library to create our own Python module that will allow us to quickly and easily obtain data from the ADC device and use it in our programs. The module is designed in such a way that other hardware or data sources may be put in its place without impacting the remaining examples.

Getting ready

To use the I²C bus using Python 3, we will use Gordon Henderson's wiringPi2 (see http://wiringpi.com/ for more details).

The easiest way to install wiringPi2 is by using PIP for Python 3. PIP is a package manager for Python that works in a similar...

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