Start building amazing projects with the Raspberry Pi right out of the box
About This Book
- Explore the vast range of opportunities provided by Raspberry Pi and other hardware components such as a webcam, the Pi camera, and sensors
- Get hands-on experience with coding, networking, and hardware with the Raspberry Pi platform
- Learn through ample screenshots that offer a play-by-play account of how to implement Raspberry-Pi-based real-life projects
Who This Book Is For
What's the best way to learn how to use your Raspberry Pi? By example! If you want something exciting to do whilst getting to grips with what your Pi can offer, this is the book for you. With both simple and complex projects, you'll create a wide variety of cool toys and functions with your Raspberry Pi - all with minimal coding experience necessary.
What You Will Learn
- Set up your Raspberry Pi and get it ready for some interesting real-life projects
- Work with images, videos, webcams, and the Pi camera and create amazing time-lapse videos
- Explore the amazing world of Minecraft Pi
- Get to know how to use PiGlow for GPIO programming
- Interface your Pi with Grove Sensors and implement IoT applications
- Build your own cluster with Raspberry Pi
- Understand the networking and network programming fundamentals
In Detail
Want to put your Raspberry Pi through its paces right out of the box? This tutorial guide is designed to get you learning all the tricks of the Raspberry Pi through building complete, hands-on hardware projects. Speed through the basics and then dive right in to development!
Discover that you can do almost anything with your Raspberry Pi with a taste of almost everything. Get started with Pi Gaming as you learn how to set up Minecraft, and then program your own game with the help of Pygame. Turn the Pi into your own home security system with complete guidance on setting up a webcam spy camera and OpenCV computer vision for image recognition capabilities. Get to grips with GPIO programming to make a Pi-based glowing LED system, build a complete functioning motion tracker, and more. Finally, get ready to tackle projects that push your Pi to its limits. Construct a complete Internet of Things home automation system with the Raspberry Pi to control your house via Twitter; turn your Pi into a super-computer through linking multiple boards into a cluster and then add in advanced network capabilities for super speedy processing!
Style and approach
This step-by-step guide to building Raspberry-Pi-based projects is explained in a conversational and easy-to-follow style. Each topic is explained sequentially in the process of creating real-life projects, and detailed explanations of the basic and advanced features of various Python libraries are also included.
Ashwin Pajankar
Ashwin Pajankar is a software professional and IoT enthusiast with more than 5 years' experience in software design, development, testing, and automation. He graduated from IIIT Hyderabad, earning an M.Tech in computer science and engineering. He holds multiple professional certifications from Oracle, IBM, Teradata, and ISTQB in development, databases, and testing. He has won several awards in college through outreach initiatives, at work for technical achievements, and community service through corporate social responsibility programs. He was introduced to Raspberry Pi while organizing a hackathon at his workplace, and he's been hooked on Pi ever since. He writes plenty of code in C, Bash, Python, and Java on his cluster of Pis. He's already authored one book on Raspberry Pi and reviewed three other titles related to Python for Packt Publishing. His LinkedIn Profile is at https://in.linkedin.com/in/ashwinpajankar.
Arush Kakkar
Arush Kakkar is a computer vision and deep learning researcher and an undergraduate at Delhi Technological University. His primary focus is on autonomous robotics, which includes drones and self-driving cars, and he has been involved in building such systems in different capacities, such as navigation, localization, path planning. He has also leveraged state-of-the art computer vision and deep learning technologies for them. He is the electrical systems head of the Solar Car team of his university, Solaris DTU. He is currently working on his own driverless car company, CruiseX, which uses deep learning to drive more smoothly and with fewer errors. You can connect with him through his website at http://www.arushkakkar.com and read up on some of his projects at http://blog.arushkakkar.com.
