Practical IoT Edge Computing with Python

Build Real-time IoT Solutions Using Python, Edge, and Docker Tools.Book DescriptionThe 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 Contents1. Introduction to IoT and Edge2. Conventional Cloud versus Edge3. Building IoT Data Pipelines4. Integrating Edge with Cloud in IoT Architecture5. Exploring Edge Platforms and Devices6. IoT Data Networking at Edge7. Pre-Processing Data on Edge Devices8. Leveraging Edge Intelligence9. Streaming Data Processing10. Containerization Technology for Edge Intelligence11. Data Security and Privacy12. Future TrendsIndex