Название: Python Programming Recipes for IoT Applications
Автор: Jivan S. Parab, Madhusudan Ganuji Lanjewar, Marlon Darius Sequeira
Издательство: Springer
Год: 2023
Страниц: 205
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

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 detailed chapter-wise flow is as follows:
Chapter 1 “Python Programming and IoT” discusses the basics of Python language such as features of Python, Integrated Development Environment (IDE), data types, and so on. It also discusses comparison of Python with C and C++ language. The C/C++ programming languages dominates embedded systems programming. On the other hand, Python has many strengths that make it a great programming language for embedded systems. This chapter also gives the overview of IoT and its applications.
Chapter 2 provides detailed step-wise configuration setup of Raspberry Pi, MicroPython Pyboard, and NVIDIA Jetson Nano This chapter also covers the details of all above boards including block diagram, features available in these boards, and functions of each block.
Chapter 3 gives the detailed implementation steps of simple IoT applications using Raspberry Pi such as controlling LED blinking, OLED display interface, camera interface, and motor control (DC motor, stepper motor, and servo motor).
Chapter 4 gives the detailed implementation steps of MicroPython Pyboard for IoT applications such as home automation, smart e-waste bin, industrial environment monitoring, green house monitoring, and aquaculture monitoring.
Chapter 5 focusses on FoG and cloud computing with NVIDIA Jetson Nano board. It covers the introduction and the model architecture of both the FoG and cloud computing. Detailed stepwise implementation of patient monitoring with cloud computing and home security (home surveillance, home safety lock, fire alert system) with FoG computing.
Chapter 6 covers the implementation of Machine Learning (ML) applications such as pattern recognition, object classification, and prediction using Jetson Nano.