Book Description
The Internet of Things (IoT) is reshaping the way the world collects, processes, and responds to data—from smart homes and wearables to autonomous vehicles and industrial automation. As the demand for fast, secure, and intelligent data handling grows, edge computing becomes a key enabler, pushing computation closer to the source and reducing latency, cloud dependency, and security risks.

Practical IoT Edge Computing with Python equips readers with a complete, hands-on roadmap to build robust, real-time IoT systems, using edge devices and Python. You will begin by understanding the core concepts of IoT, and the limitations of traditional cloud-based models. Thus, step by step, you will move through building an IoT data pipeline, integrating edge and cloud, and deploying on devices like Raspberry Pi and Jetson Nano, as well as working with protocols such as MQTT and CoAP.

You will also gain practical experience with data preprocessing, edge intelligence, containerization (Docker/Kubernetes), and security measures like blockchain. Each chapter builds your confidence to design scalable, secure, and responsive IoT systems.

Hence, whether you are a student, developer, or industry professional, this book offers the tools and knowledge to turn IoT concepts into fully functioning edge solutions.

Table of Contents
1. Introduction to IoT and Edge
2. Conventional Cloud versus Edge
3. Building IoT Data Pipelines
4. Integrating Edge with Cloud in IoT Architecture
5. Exploring Edge Platforms and Devices
6. IoT Data Networking at Edge
7. Pre-Processing Data on Edge Devices
8. Leveraging Edge Intelligence
9. Streaming Data Processing
10. Containerization Technology for Edge Intelligence
11. Data Security and Privacy
12. Future Trends
Index