Raspberry Pi IoT In Python Using GPIO Zero, 2nd Edition

Raspberry Pi IoT In Python Using GPIO Zero, 2nd Edition PDF Author: Mike James
Publisher: I/O Press
ISBN: 9781871962871
Category : Computers
Languages : en
Pages : 0

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Book Description
The Raspberry Pi makes an ideal match for the Internet of Things. But to put it to good use in IoT you need two areas of expertise, electronics and programming and because of the way hardware and software engineering tend to occupy separate niches, you may need help with combining the two which is what this book sets out to do. Python is an excellent language for learning about physical computing. It might not be as fast as C, but it is much easier to use for complex data processing. One reason for Python's popularity is its wealth of supporting libraries and there are several for interfacing hardware. The GPIO Zero library is the official way to use Python with the GPIO and other devices and this book looks at how to use it to interface to fundamental IoT devices - from LEDs and buzzers to servos and stepper motors and several off-the-shelf Raspberry Pi add-ons. This revised second edition had been expanded to cover all the current Raspberry Pis including the latest, the Pi 5, and the Pi Zero 2W which, with its WiFi capability and being a quad-core device, is an ideal device for IoT projects. It has also been updated to cover the latest version of the GPIO Zero library, which is both the library recommended by Raspberry Pi and the only one that works with the Pi 5. The emphasis in this book is about using and understanding the hardware and GPIO Zero. It not only shows you how to "follow the beaten track", but how to create your own tracks. While it isn't a project book, many of the code examples described are part way to projects and all of the devices and techniques described can be used to create practical projects. Similarly while it doesn't teach you the whole of Python, it does bring you up to speed in the aspects of the language needed for interfacing with hardware. Harry Fairhead has worked with microprocessors, and electronics in general, for many years and is an enthusiastic proponent of the IoT. He is the author of Raspberry Pi IoT in C, which has recently been republished in its third edition, and Raspberry Pi IoT in C Using Linux Drivers, now in its second edition. Mike James is the co-author Raspberry Pi IoT in Python Using Linux Drivers, Second Edition. He is also the author of the Programmer's Python: Something Completely Different series of books.

Raspberry Pi IoT In Python Using GPIO Zero, 2nd Edition

Raspberry Pi IoT In Python Using GPIO Zero, 2nd Edition PDF Author: Mike James
Publisher: I/O Press
ISBN: 9781871962871
Category : Computers
Languages : en
Pages : 0

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Book Description
The Raspberry Pi makes an ideal match for the Internet of Things. But to put it to good use in IoT you need two areas of expertise, electronics and programming and because of the way hardware and software engineering tend to occupy separate niches, you may need help with combining the two which is what this book sets out to do. Python is an excellent language for learning about physical computing. It might not be as fast as C, but it is much easier to use for complex data processing. One reason for Python's popularity is its wealth of supporting libraries and there are several for interfacing hardware. The GPIO Zero library is the official way to use Python with the GPIO and other devices and this book looks at how to use it to interface to fundamental IoT devices - from LEDs and buzzers to servos and stepper motors and several off-the-shelf Raspberry Pi add-ons. This revised second edition had been expanded to cover all the current Raspberry Pis including the latest, the Pi 5, and the Pi Zero 2W which, with its WiFi capability and being a quad-core device, is an ideal device for IoT projects. It has also been updated to cover the latest version of the GPIO Zero library, which is both the library recommended by Raspberry Pi and the only one that works with the Pi 5. The emphasis in this book is about using and understanding the hardware and GPIO Zero. It not only shows you how to "follow the beaten track", but how to create your own tracks. While it isn't a project book, many of the code examples described are part way to projects and all of the devices and techniques described can be used to create practical projects. Similarly while it doesn't teach you the whole of Python, it does bring you up to speed in the aspects of the language needed for interfacing with hardware. Harry Fairhead has worked with microprocessors, and electronics in general, for many years and is an enthusiastic proponent of the IoT. He is the author of Raspberry Pi IoT in C, which has recently been republished in its third edition, and Raspberry Pi IoT in C Using Linux Drivers, now in its second edition. Mike James is the co-author Raspberry Pi IoT in Python Using Linux Drivers, Second Edition. He is also the author of the Programmer's Python: Something Completely Different series of books.

Raspberry Pi IoT In Python Using GPIO Zero

Raspberry Pi IoT In Python Using GPIO Zero PDF Author: Mike James
Publisher:
ISBN: 9781871962666
Category :
Languages : en
Pages : 242

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Book Description
The Raspberry Pi makes an ideal match for the Internet of Things. But to put it to good use in IoT you need two areas of expertise, electronics and programming and because of the way hardware and software engineering tend to occupy separate niches, you may need help with combining the two. Python is an excellent language with which to learn about the IoT or physical computing. It might not be as fast as C, but it is much easier to use for complex data processing. One reason for Python's popularity is its wealth of supporting libraries and there are several for interfacing hardware. The GPIO Zero library is the official way to use Python with the GPIO and other devices and this book looks at how to use it to interface to fundamental IoT devices - from LEDs and buzzers to servos and stepper motors and several off-the-shelf Raspberry Pi add-ons. Importantly, it explains how it works so that you can extend it to custom devices. Studying GPIO Zero is also a great way to improve your Python and this book teaches you to think like an IoT programmer. After reading it, you will be in a better position to tackle interfacing anything-with-anything without the need for custom drivers and prebuilt hardware modules. The emphasis in this book on understanding how things work and using this knowledge to create new devices and integrate them into GPIO Zero. You can use any Python development system that you know, but the programs in the book have been developed using Visual Studio Code and its remote development facilities. All the code is available on the book's web page along with everything you need to get started. Harry Fairhead has worked with microprocessors, and electronics in general, for many years and is an enthusiastic proponent of the IoT. He is the author of Raspberry Pi IoT in C, which has recently been republished in its second edition, updated for Raspberry Pi 4. His other recent books include Applying C For The IoT With Linux and Fundamental C: Getting Closer To The Machine. Mike James is the author of Programmer's Python: Everything is an Object and other programming and computer science titles in the I Programmer Library. His programming career spans several generations of computer technology, but he keeps his skills completely up to date and has a PhD in Computer Science.

Raspberry Pi IoT In Python Using Linux Drivers

Raspberry Pi IoT In Python Using Linux Drivers PDF Author: Mike James
Publisher: I/O Press
ISBN: 9781871962659
Category :
Languages : en
Pages : 276

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Book Description
The Raspberry Pi makes an ideal match for the Internet of Things. To put it to good use in IoT you need two areas of expertise, electronics and programming, and this presents a barrier to getting started. However, there is an overlooked route that can provide a shortcut. Pi OS, the Raspberry Pi's operating system, is Linux- based and Linux drivers are available for many off-the-shelf IoT devices. These provide a very easy-to-use, high-level, way of working. The problem that this book solves is that there is very little documentation to help you get started. Throughout this book you will find a practical approach to understanding electronic circuits and datasheets and translating this to code, specifically using Python. Python is an excellent language for learning about the IoT or physical computing. It might not be as fast as C, but it is much easier to use for complex data processing. The emphasis in this book is on understanding how things work so that you can apply your new knowledge to your own projects. You can use any Python development system that you know, but the programs in the book have been developed using Visual Studio Code and its remote development facilities. The first IoT program anyone writes is "Blinky" to flash an LED and this book is no exception, but it might not be quite what you expect. Instead of using a GPIO line, it uses the Linux LED driver - no hardware and no fuss. The GPIO isn't left out, however, as the next three chapters focus on its use via the new GPIO character driver, which replaces the old and very common sysfs GPIO driver. This is the way to do modern GPIO. A key component in any look at Linux and its relationship to hardware is the relatively new Device Tree. While most accounts of this resource are aimed at device driver writers, this one is aimed at device driver users and to this end we look at several devices, including the DHT22 temperature and humidity sensor. After a brief detour into some basic electronics, we see how Pulse Width Modulation is supported via a driver. From here we tackle the two standard buses, I2C and SPI, first going through the basics and then looking at the two attempts to impose a higher organization, the hardware monitoring system, Hwmon, and Industrial I/O, IIO. The third standard bus, although generally not supported in hardware, is the 1-Wire bus. This is covered in detail and even includes an introduction to using Netlink, which uses the sockets API to send messages to and from the kernel to access the driver. The final chapter takes things to the next level and considers creating your own custom overlays by writing fragments to the device tree. This is the second title jointly authored by Harry Fairhead and Mike James and can be seen as the alternative approach to that outlined in Raspberry Pi IoT In Python Using GPIO Zero. For both books, Harry brings his expertise in electronics and the IoT and Mike contributes the Python code. Harry Fairhead is the author of other IoT-related titles including Raspberry Pi IoT in C, Second Edition; Micro: bit IoT in C, Second Edition; Applying C For The IoT With Linux and Fundamental C: Getting Closer To The Machine. Mike James is the author of Programmer's Python: Everything is an Object and other programming and computer science titles in the I Programmer Library.

Practical Python Programming for IoT

Practical Python Programming for IoT PDF Author: Gary Smart
Publisher: Packt Publishing Ltd
ISBN: 1838982833
Category : Computers
Languages : en
Pages : 500

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Book Description
Leverage Python and Raspberry Pi to create complex IoT applications capable of creating and detecting movement and measuring distance, light, and a host of other environmental conditions Key FeaturesLearn the fundamentals of electronics and how to integrate them with a Raspberry PiUnderstand how to build RESTful APIs, WebSocket APIs, and MQTT-based applicationsExplore alternative approaches to structuring IoT applications with PythonBook Description The 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 learnUnderstand electronic interfacing with Raspberry Pi from scratchGain knowledge of building sensor and actuator electronic circuitsStructure your code in Python using Async IO, pub/sub models, and moreAutomate real-world IoT projects using sensor and actuator integrationIntegrate electronics with ThingSpeak and IFTTT to enable automationBuild and use RESTful APIs, WebSockets, and MQTT with sensors and actuatorsSet up a Raspberry Pi and Python development environment for IoT projectsWho this book is for This IoT Python book is for application developers, IoT professionals, or anyone interested in building IoT applications using the Python programming language. It will also be particularly helpful for mid to senior-level software engineers who are experienced in desktop, web, and mobile development, but have little to no experience of electronics, physical computing, and IoT.

Raspberry Pi IoT In C Using Linux Drivers

Raspberry Pi IoT In C Using Linux Drivers PDF Author: Harry Fairhead
Publisher:
ISBN: 9781871962642
Category : Computers
Languages : en
Pages : 280

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Book Description
The Raspberry Pi makes an ideal match for the Internet of Things. To put it to good use in IoT you need two areas of expertise, electronics and programming and this presents a barrier to getting started. However, there is an overlooked route that can provide a shortcut. Pi OS, the Raspberry Pi's operating system is Linux based and Linux drivers are available for many off-the-shelf IoT devices. These provide a very easy-to-use, high-level way of working. The problem that this book solves is that there is very little documentation to help you get started. In it Harry Fairhead explains the principles so that you can tackle new devices and he also guides you through of using external hardware via standard Linux drivers. Throughout this book you will find a practical approach to understanding electronic circuits and datasheets and translating this to code, specifically using the C programming language. The main reason for choosing C is speed, a crucial factor when you are writing programs to communicate with the outside world and if you are familiar with another programming language, C shouldn't be hard to pick up. After a quick tour of the Raspberry Pi ecosystem, Visual Studio Code (VS Code) and how it can be used to develop remotely, is introduced. The first IoT program anyone writes is "blinky" to flash an LED and this book is no exception, but it might not be quite what you expect. Instead of using a GPIO line it uses the Linux LED driver - no hardware and no fuss. The GPIO isn't left out, however, as the next three chapters focus on its use via the new GPIO character driver, which replaces the old and very common sysfs GPIO driver. This is the way to do modern GPIO. A key component in any look at Linux and its relationship to hardware is the relatively new Device Tree. While most accounts of this resource are aimed at device driver writers, this one is aimed at device driver users and to this end we look at the DHT22 temperature and humidity driver. After a brief detour into some basic electronics, we look at Pulse Width Modulation supported via a driver rather than needing to be implemented using the GPIO. From here we tackle the two standard buses, I2C and SPI, first going through the basics and then looking at the two attempts to impose a higher organization, the hardware monitoring system, Hwmon, and Industrial I/O, IIO. The third standard bus, although generally not supported in hardware is the 1-Wire bus. This is covered in detail and even includes an introduction to using Netlink, which uses the sockets API to send messages to and from the kernel to access the driver. The final chapter takes things to the next level and considers creating your own custom overlays by writing fragments to the device tree. Harry Fairhead has worked with microprocessors, and electronics in general, for many years and is an enthusiastic proponent of the IoT. He is the author of Raspberry Pi IoT in C, which has recently been republished in its second edition, updated for Raspberry Pi 4 and co-author of Raspberry Pi IoT in Python Using GPIO Zero. His other recent books include Micro: bit IoT in C, Fundamental C: Getting Closer To The Machine and Applying C For The IoT With Linux.

IoT Machine Learning Applications in Telecom, Energy, and Agriculture

IoT Machine Learning Applications in Telecom, Energy, and Agriculture PDF Author: Puneet Mathur
Publisher: Apress
ISBN: 1484255496
Category : Computers
Languages : en
Pages : 284

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Book Description
Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python. What You Will Learn Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with PythonSet up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenariosDevelop solutions for commercial-grade IoT or IIoT projectsImplement case studies in machine learning with IoT from scratch Who This Book Is For Raspberry Pi and Arduino enthusiasts and data science and machine learning professionals.

Simple Electronics with Gpio Zero

Simple Electronics with Gpio Zero PDF Author: Phil King
Publisher:
ISBN: 9781912047246
Category : Electronic books
Languages : en
Pages : 0

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Book Description


Master the Raspberry Pi Pico in C

Master the Raspberry Pi Pico in C PDF Author: Mike James
Publisher: I/O Press
ISBN: 9781871962819
Category :
Languages : en
Pages : 0

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Book Description
Adding WiFi to the Raspberry Pi Pico turns this low-cost, small form factor device into a true IoT device. The extra capabilities added to the Pico W open up loads of opportunities, but only if you are prepared to do battle with the two libraries that provide networking and security - lwIP and mbedtls respectively. The problem with these large libraries of code is that they are poorly documented and don't refer directly to the Pico W and its SDK. This book sets out to remedy this by providing a guide to these libraries along with examples of what you can do with them. Having introduced the Pico WiFi Stack and basic network connections, we look at how to use TCP to create the all-important Protocol Control Block and then tackle implementing an HTTP client. As well as covering the basic mechanics of using lwIP, we also concentrate on how to organize the use of an asynchronous library based on callbacks. The problem of IoT security is unique because IoT devices can be physically accessed by an attacker and hence any secrets embedded in their code have to be considered almost as public knowledge. Even so it is worth implementing encryption and this is achieved using mbedtls to create an HTTPS client. If you can ensure the physical security of the IoT device, then running it as a server is possible and this is covered in both HTTP and HTTPS modes, complete with certificates. We cover the basics of cryptography, including the problem of generating random numbers, what an encryption suite is and the various modes of AES encryption. The later chapters are devoted to specific protocols, making use of both lwIP and mbedtls. We look at UDP; SNTP to set the Pico W's real time clock; SMTP to allow email notifications and MQTT. Harry Fairhead is also the author of Programming The Raspberry Pi Pico/W In C; Raspberry Pi IoT in C, Raspberry Pi IoT In C Using Linux Drivers, Applying C For The IoT With Linux, Fundamental C: Getting Closer To The Machine and Micro: bit IoT in C. Mike James is the author of Programming the Raspberry Pi Pico/W in MicroPython; Raspberry Pi IoT In Python Using GPIO Zero; and the Programmer's Python: Something Completely Different series of books and several other programming and computer science titles in the I Programmer Library.

Mastering IOT

Mastering IOT PDF Author: Colin Dow
Publisher: Packt Publishing Ltd
ISBN: 1838643087
Category : Computers
Languages : en
Pages : 763

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Book Description
Leverage the full potential of IoT with the combination of Raspberry Pi 3 and Python and architect a complete IoT system that is the best fit for your organization Key FeaturesBuild complex Python-based applications with IoTExplore different concepts, technologies, and tradeoffs in the IoT architectural stackDelve deep into each element of the IoT design—from sensors to the cloudBook Description The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. We’ll begin our journey with an introduction to Raspberry Pi and quickly jump right into Python programming. We’ll learn all concepts through multiple projects, and then reinforce our learnings by creating an IoT robot car. We’ll examine modern sensor systems and focus on what their power and functionality can bring to our system. We’ll also gain insight into cloud and fog architectures, including the OpenFog standards. The Learning Path will conclude by discussing three forms of prevalent attacks and ways to improve the security of our IoT infrastructure. By the end of this Learning Path, we will have traversed the entire spectrum of technologies needed to build a successful IoT system, and will have the confidence to build, secure, and monitor our IoT infrastructure. This Learning Path includes content from the following Packt products: Internet of Things Programming Projects by Colin DowInternet of Things for Architects by Perry LeaWhat you will learnBuild a home security dashboard using an infrared motion detectorReceive data and display it with an actuator connected to the Raspberry PiBuild an IoT robot car that is controlled via the InternetUse IP-based communication to easily and quickly scale your systemExplore cloud protocols, such as Message Queue Telemetry Transport (MQTT) and CoAPSecure communication with encryption forms, such as symmetric keyWho this book is for This Learning Path is designed for developers, architects, and system designers who are interested in building exciting projects with Python by understanding the IoT ecosphere, various technologies, and tradeoffs. Technologists and technology managers who want to develop a broad view of IoT architecture, will also find this Learning Path useful. Prior programming knowledge of Python is a must.

Getting Started with Python for the Internet of Things

Getting Started with Python for the Internet of Things PDF Author: Tim Cox
Publisher: Packt Publishing Ltd
ISBN: 1838553339
Category : Computers
Languages : en
Pages : 716

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Book Description
Build clever, collaborative, and powerful automation systems with the Raspberry Pi and Python. Key FeaturesCreate your own Pi-Rover or Pi-Hexipod robotsDevelop practical applications in Python using Raspberry PiBuild your own Jarvis, a highly advanced computerized AIBook Description This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python. It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment. By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python. Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence FernandesPython Programming with Raspberry Pi by Sai Yamanoor, Srihari YamanoorPython Robotics Projects by Prof. Diwakar VaishWhat you will learnBuild text classifiers and predict sentiment in words with the Tkinter libraryDevelop human face detection and recognition systemsCreate a neural network module for optical character recognitionBuild a mobile robot using the Raspberry Pi as a controllerUnderstand how to interface sensors, actuators, and LED displays workApply machine learning techniques to your modelsInterface your robots with BluetoothWho this book is for This Learning Path is specially designed for Python developers who want to take their skills to the next level by creating robots that can enhance people’s lives. Familiarity with Python and electronics will aid understanding the concepts in this Learning Path.