Iot Programming With Python
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IoT Programming with Python
Author: Dr.M.Kannan
language: en
Publisher: SK Research Group of Companies
Release Date: 2025-09-02
Authors: Dr.M.Kannan, Dean - Research & Development, United Institute of Technology, Coimbatore, Tamil Nadu, India. Mr.Raja A, Assistant Professor, Department of Computer Science and Engineering (Cyber Security), United Institute of Technology, Coimbatore, Tamil Nadu, India. Ms.Abinaya Suky S, Assistant Professor, Department of Computer Science and Engineering, United Institute of Technology, Coimbatore, Tamil Nadu, India. Ms.Kowsalya T, Assistant Professor, Department of Computer Science and Engineering, United Institute of Technology, Coimbatore, Tamil Nadu, India.
Practical Python Programming for IoT
Create innovative IoT projects using Python and Raspberry Pi with this hands-on guide packed with fun experiments, real-world applications, and everything you need to bring smart ideas to life Key Features Learn the fundamentals of electronics and how to integrate them with a Raspberry Pi Bring your projects to life through real-world scenarios, from motion detection to smart lighting Exercises designed to suit hobbyists, engineers, and educators alike Book DescriptionThe age of connected devices is here, be it fitness bands or smart homes. It's now more important than ever to understand how hardware components interact with the internet to collect and analyze user data. The Internet of Things (IoT), combined with the popular open source language Python, can be used to build powerful and intelligent IoT systems with intuitive interfaces. This book consists of three parts, with the first focusing on the "Internet" component of IoT. You'll get to grips with end-to-end IoT app development to control an LED over the internet, before learning how to build RESTful APIs, WebSocket APIs, and MQTT services in Python. The second part delves into the fundamentals behind electronics and GPIO interfacing. As you progress to the last part, you'll focus on the "Things" aspect of IoT, where you will learn how to connect and control a range of electronic sensors and actuators using Python. You'll also explore a variety of topics, such as motor control, ultrasonic sensors, and temperature measurement. Finally, you'll get up to speed with advanced IoT programming techniques in Python, integrate with IoT visualization and automation platforms, and build a comprehensive IoT project. By the end of this book, you'll be well-versed with IoT development and have the knowledge you need to build sophisticated IoT systems using Python.What you will learn Understand electronic interfacing with Raspberry Pi from scratch Gain knowledge of building sensor and actuator electronic circuits Structure your code in Python using Async IO, pub/sub models, and more Automate real-world IoT projects using sensor and actuator integration Integrate electronics with ThingSpeak and IFTTT to enable automation Build and use RESTful APIs, WebSockets, and MQTT with sensors and actuators Set up a Raspberry Pi and Python development environment for IoT projects Who this book is for Whether you're a developer, IoT professional, or a Python enthusiast curious about hardware, this book is for you. It's also helpful for software engineers with little to no experience in electronics who want to start building real-world IoT and home automation projects. Makers, educators, and tinkerers will find it a practical and approachable guide. With clear explanations and hands-on projects, it makes bringing your code to life enjoyable and achievable.
Python Programming Recipes for IoT Applications
The book comprehensively covers the most important applications of the internet of things (IoT) using Python programming on Raspberry pi, Micropython Py Board, and NVIDIA Jetson Board. The authors have used an immersive ‘hands-on’ approach to help readers gain expertise in developing working code for real-world IoT applications. The book focuses on industry-standard embedded platforms for IoT applications. It also gives a glimpse of python programming and setup configuration of these embedded platforms. The later chapter highlights basic interface applications with Raspberry Pi. Exclusive advanced IoT applications on the Micropython Pyboard are also covered. The last two chapters deal with the NVIDIA Jetson Nano board programming for machine learning applications with FoG/cloud computing. The various IoT applications with different embedded platforms in this volume are best-suited for undergraduate/postgraduate students and researchers who want to get exposed to python programming for IoT applications. This book will enable readers to design their own embedded IoT products.