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Raspberry Pi Cookbook: Software and Hardware Problems and Solutions

by Simon Monk

Hands-on projects across Raspberry Pi software and hardware

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AlbakiReads Editorial

Hands-on projects across Raspberry Pi software and hardware

Simon Monk’s fourth edition organizes more than 200 code-supported recipes around practical Raspberry Pi tasks. The coverage moves from Linux setup and Python programming to GPIO hardware, motors, switches, keypads, and sensors, with sections on computer vision, machine learning, and internet-connected devices. It also adds material on the Raspberry Pi Pico, giving the book a place for both the standard Pi computer and its microcontroller companion. The recipe format makes the scope easy to navigate by task, whether the project involves configuring a network, collecting sensor measurements, or automating a home device.

Good fit for readers who enjoy

  • Raspberry Pi users seeking task-based instructions with code examples
  • Hobbyists interested in combining Python or Linux with sensors, motors, and other hardware
  • Makers exploring computer vision, machine learning, IoT, or the Raspberry Pi Pico

Themes

Raspberry Pi and LinuxPython programmingElectronics and hardware controlSensors and motorsComputer vision, machine learning, and IoT

Based on publisher information and book metadata.

Book overview

If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 hands-on recipes (complete with code) that show you how to run this tiny low-cost computer with Linux, program it with Python, hook it up to sensors and motors, and use it with the internet of things (IoT). This new edition includes new chapters on the Raspberry Pi Pico and machine learning with the Raspberry Pi.

These easy-to-use recipes will show you, step-by-step, how to:

  • Set up your Raspberry Pi and connect to a network
  • Work with its Linux-based operating system
  • Program your Raspberry Pi with Python
  • Give your Pi "eyes" with computer vision
  • Recognize objects from video and sounds using machine learning
  • Control hardware through the GPIO connector
  • Use your Raspberry Pi to run different types of motors
  • Work with switches, keypads, and other digital inputs
  • Use sensors to measure temperature, light, and distance
  • Connect to IoT devices in various ways and automate your home
  • Use the Raspberry Pi Pico microcontroller board with your Raspberry Pi
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