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Create your own car engine control unit (ECU) with a simple Raspberry PI while building the necessary skills to produce future more advanced projects. Once you've worked through the projects in this book, you'll have a smart car and the coding knowledge needed to develop advanced hardware and software projects. Start by understanding how the Pi works, and move on to how to build hardware projects, use the GPIO pins, and install the system. Then add to that a solid understanding of software development principles and best practices, along with a good grasp of Python (v3.6+) and Python/software best practices. More than just how to code in Python, you'll learn what it takes to write production grade software, defensive code, testing, deployments, version control, and more. Internalize industry best practices while going further with valuable software development techniques such as defensive programming. The concepts introduced are essential to ensuring that software can function under unexpected circumstances. Can you imagine what would happen if your mobile phone could not cope with a call from an unknown number, or you had to set you microwave in increments of 6 seconds? While testing avoids edge cases such as these, defensive programming is one of the building blocks of software development. You will: Hone test driven development in Python skills Debug software and hardware project installations Work with the GPIO ports of the Pi to feed your software real-world hardware information.

Computer architecture. Operating systems --- I/O (input/output) --- randapparatuur --- Makerspaces. --- Maker.

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Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you’ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.

Computer architecture. Operating systems --- I/O (input/output) --- randapparatuur --- Computer input-output equipment. --- Hardware and Maker.

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Get started with Arduino and computer coding. This book is intended for those new to the Arduino and computer coding. and looking to gain the skills to write microcontroller programs that can act on given inputs and operate electromechanical output devices. Coding the Arduino contains four sections: background information, game development, electronic games and projects, and expanded programs. The final chapters expand on the functionality of some of the programs presented in previous chapters, and challenges you with capstone projects. The projects will be described where the program code that is presented can be modified, or in which two or more of the sample programs may be used to synthesize a new program as the solution to the problem that is presented. Additionally, review questions are presented at the end of each chapter to test your comprehension of the material.

Computer architecture. Operating systems --- Computer. Automation --- I/O (input/output) --- randapparatuur --- Arduino --- hardware --- Computer input-output equipment. --- Hardware and Maker.

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This book constitutes the refereed post-conference proceedings of the 9th International Conference on Nature of Computation and Communication, ICTCC 2023, held in Ho Chi Minh City, Vietnam, in October 2023. The 12 revised full papers presented were carefully selected from 30 submissions. The papers of ICTCC 2023 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications.

Computer architecture. Operating systems --- Computer. Automation --- I/O (input/output) --- randapparatuur --- computers --- informatica --- datacommunicatie --- hardware --- computernetwerken --- Computer networks

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Master the command line and Raspbian Linux as well as the physical connections of the Pi. With this book you’ll develop skills applicable to other real world applications in both hardware and software development all while working on simple and fun IoT projects that you can do yourself. You'll learn to build programs on the top of Raspbian OS in Raspberry Pi boards. Start by using Raspbian shells to develop programs.Then follow projects and samples step-by-step to get new experiences in Raspbian OS development. You'll also learn the Wolfram Language and Mathematica, Scratch, IoT programs and IoT middleware, Node-RED, Interactive Data Visualization with Jupyter Notebook, and more. There are many features in Raspbian OS and on Raspberry Pi boards perfect for building an IoT program to suite various scenarios. The GPIO pins on your Raspberry Pi allow it to scale further to accomplish all kinds of projects and tasks. Raspbian OS Programming with the Raspberry Pi is your pathway to exploring all of this.

Computer architecture. Operating systems --- Computer. Automation --- I/O (input/output) --- randapparatuur --- Raspberry Pi --- IoT (Internet of Things) --- Raspbian --- GPIO --- hardware --- Computer input-output equipment. --- Hardware and Maker.