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Raspberry Pi 3 Cookbook for Python Programmers
Raspberry Pi 3 is a tiny affordable chip used to learn and program through interactive projects. It has gained a lot of traction as the first choice in single-board computers due to its versatility. It extends a wide range of support to Python programming. This recipe-based guide will allow you to showcase the capabilities of Raspberry Pi 3.
eBook
Raspberry Pi for dummies
In Raspberry Pi For Dummies, 3rd Edition veteran tech authors Sean McManus and Mike Cook make it easier than ever to get you up and running on your Raspberry Pi, from setting it up, downloading the operating system, and using the desktop environment to editing photos, playing music and videos, and programming with Scratch--and everything in between.
Book
Intelligent Mobile Projects with TensorFlow
Google TensorFlow is used to train all the models deployed and running on mobile devices. This book covers 10 projects on the implementation of all major AI areas on iOS, Android, and Raspberry Pi: computer vision, speech and language processing, and machine learning, including traditional, reinforcement, and deep reinforcement.
eBook
Learn electronics with Raspberry Pi : physical computing with circuits, sensors, outputs, and projects
Learning electronics can be tremendous fun -- your first flashing LED circuit is a reason to celebrate! But where do you go from there, and how can you move into more challenging projects without spending a lot of money on proprietary kits? One excellent answer is Raspberry Pi. Raspberry Pi is everywhere, it's inexpensive, and it's a wonderful tool for teaching about electronics and programming. Learn Electronics with Raspberry Pi shows you how to make a variety of cool projects using the Pi with programming languages like Scratch and Python, with no experience necessary. You'll learn how the Pi works, how to work with Raspbian Linux on the Pi, and how to design and create electronic circuits. You'll then create projects like an arcade game, disco lights, and infrared transmitter, and an LCD display. You'll also learn how to control Minecraft's Steve with a joystick and how to build a Minecraft house with a Pi, and even how to control a LEGO train with a Pi. You'll even learn how to create your own robot, including how to solder and even design a printed circuit board! Learn how to design and build electronic circuits, and even how to make a PCB Learn how to make fun projects like an arcade game, a robot, and a Minecraft controller while learning about sensors and how devices talk to each other Get started programming the Pi with Scratch and Python.
Book
Internet of Things with Raspberry Pi 3
Internet of Things (IoT) is currently a growing trend in the technology space, and Raspberry Pi is the perfect board to get started with building IoT projects. Applications of IoT are the basis of smart homes and when scaled up, we can drive smart cities and achieve manufacturing automation. This book covers many powerful features of.
eBook
Portable Python Projects
Discover easy ways to control your home with the powerful new Raspberry Pi hardware. Program short Python scripts that will detect changes in your home and react with the instructions you code. Use new add-on accessories to monitor a variety of measurements, from light intensity and temperature to motion detection and water leakage. Expand the base projects with your own custom additions to perfectly match your own home setup. Most projects in the book can be completed in under an hour, giving you more time to enjoy and tweak your autonomous creations. No breadboard or electronics knowledge required!Get to know the latest Raspberry Pi hardware, and create awesome automation solutions for home or work that don't require an electronics degree, cumbersome add-ons, or expensive third-party subscription services. Create easy to run Python scripts on your own that make your Pi do things that would have required a team of automation experts to build only a few years ago.Connect to and control popular home automation lighting systems from a Raspberry Pi. Trigger autonomous actions based on movement, temperature, and timer events. Power on your own computer and appliances using your voice. Remotely control infrared-enabled consumer electronics, create chatbots to retrieve personalized items of interest, and implement a temperature-monitoring room fan. These are just some of the projects that the book will show you how to make. Most projects can be completed and operational in under an hour, and do not require any messy schematics or a spaghetti bowl of wires and breadboard-attached circuits to operate.Control your home or office exactly the way you want instead of relying on an expensive mysterious box of third-party technology to do it for you.What You Need:Raspberry Pi (Pi 4 Model B or higher recommended) running Raspberry Pi OS
eBook
Learn robotics with Raspberry Pi : build and code your own moving, sensing, thinking robots
\"A beginner's guide to building and coding robots with the Raspberry Pi microcomputer. Each chapter teaches progressively complex lessons, from wireless control to line following, through detailed instructions and projects\"-- Provided by publisher.
Book
All‐in‐one, versatile and low‐cost experimental set‐up to implement environmental stochasticity in mesocosms (PiStoch)
Environmental stochasticity in abiotic factors is inherent to ecosystems and is exacerbated by global change. However, experimental protocols typically cancel this factor by using cyclic or constant conditions, limiting the study of environmental variations. This simplification highlights the need for better methodological tools to control fluctuating environmental variables. We present here a guidance and solution for generating and implementing stochastic environmental conditions through our Raspberry Pi System for environmental Stochasticity (PiStoch). This low‐cost, low‐tech and scalable method for mesocosm experiments also has the potential to replicate any other form of variability, including cyclic patterns. This system successfully reproduced stochastic time series in temperature and oxygen manipulation experiments. Testing with two biological case studies (macrophyte biomass and freshwater fish oxygen consumption), it demonstrated that thermal stochasticity had stronger effects than mean temperature, highlighting the importance of studying fluctuating conditions. Developing accessible methods to study organismal responses to environmental stochasticity is essential for improving the realism of laboratory experiments and enhancing the accuracy of physiological and ecological predictions. Résumé La stochasticité environnementale est inhérente aux écosystèmes et exacerbée par le changement climatique actuel. Cependant, les protocoles expérimentaux en laboratoire ne prennent pas en compte ce paramètre n’utilisant que des conditions cycliques ou constantes, limitant ainsi la connaissance des effets des variations environnementales sur le vivant. Cette simplification expérimentale souligne la nécessité de disposer d’outils méthodologiques performants pour contrôler les fluctuations des variables environnementales en laboratoire. Nous présentons ici un appareillage accompagné d’un guide pour générer et mettre en œuvre des conditions environnementales stochastiques grâce à un système appelé PiStoch et basé sur un Raspberry Pi. Cette méthode peu coûteuse, simple à mettre en place et évolutive permet de reproduire toute forme de variabilité au sein de mésocosmes. Ce système a reproduit avec succès des séries temporelles stochastiques lors d’expériences sur des variations de température et d’oxygène. Testé sur deux modèles biologiques différents (macrophytes et poissons d’eau douce), il a démontré qu’à moyenne égale, la stochasticité thermique avait des effets plus importants que la température constante, soulignant l’importance d’étudier ces conditions fluctuantes. Le développement de méthodes accessibles pour étudier les réponses des organismes à la stochasticité environnementale est essentiel pour améliorer le réalisme des expériences en laboratoire et accroître la précision des prédictions physiologiques et écologiques.
Journal Article