Where Hands Go

Where Hands Go is the brand new book from the Kids Again Foundation designed to teach children when it is all right to be touched, and by who, and when it is wrong. Handsomely illustrated and thoughtfully written, this is a must read for every family with young children.

This triumphant picture book recasts a charged phrase as part of a black girl's everyday life--hands up for a hug, hands up in class, hands up for a high five--before culminating in a moment of resistance at a protest march. A young black girl lifts her baby hands up to greet the sun, reaches her hands up for a book on a high shelf, and raises her hands up in praise at a church service. She stretches her hands up high like a plane's wings and whizzes down a hill so fast on her bike with her hands way up. As she grows, she lives through everyday moments of joy, love, and sadness. And when she gets a little older, she joins together with her family and her community in a protest march, where they lift their hands up together in resistance and strength.

Proven methodologies and concurrency techniques that will help you write faster and better code with Go programming Key FeaturesExplore Go’s profiling tools to write faster programs by identifying and fixing bottlenecksAddress Go-specific performance issues such as memory allocation and garbage collectionDelve into the subtleties of concurrency and discover how to successfully implement it in everyday applicationsBook Description Go is an easy-to-write language that is popular among developers thanks to its features such as concurrency, portability, and ability to reduce complexity. This Golang book will teach you how to construct idiomatic Go code that is reusable and highly performant. Starting with an introduction to performance concepts, you’ll understand the ideology behind Go’s performance. You’ll then learn how to effectively implement Go data structures and algorithms along with exploring data manipulation and organization to write programs for scalable software. This book covers channels and goroutines for parallelism and concurrency to write high-performance code for distributed systems. As you advance, you’ll learn how to manage memory effectively. You’ll explore the compute unified device architecture (CUDA) application programming interface (API), use containers to build Go code, and work with the Go build cache for quicker compilation. You’ll also get to grips with profiling and tracing Go code for detecting bottlenecks in your system. Finally, you’ll evaluate clusters and job queues for performance optimization and monitor the application for performance regression. By the end of this Go programming book, you’ll be able to improve existing code and fulfill customer requirements by writing efficient programs. What you will learnOrganize and manipulate data effectively with clusters and job queuesExplore commonly applied Go data structures and algorithmsWrite anonymous functions in Go to build reusable appsProfile and trace Go apps to reduce bottlenecks and improve efficiencyDeploy, monitor, and iterate Go programs with a focus on performanceDive into memory management and CPU and GPU parallelism in GoWho this book is for This Golang book is a must for developers and professionals who have an intermediate-to-advanced understanding of Go programming, and are interested in improving their speed of code execution.

Discover the power, joy, and love of living a present, authentic, and intentional life despite a world full of distractions. If technology is the new addiction, then multitasking is the new marching order. We check our email while cooking dinner, send a text while bathing the kids, and spend more time looking into electronic screens than into the eyes of our loved ones. With our never-ending to-do lists and jam-packed schedules, it's no wonder we're distracted. But this isn't the way it has to be. Special education teacher, New York Times bestselling author, and mother Rachel Macy Stafford says enough is enough. Tired of losing track of what matters most in life, Rachel began practicing simple strategies that enabled her to momentarily let go of largely meaningless distractions and engage in meaningful soul-to-soul connections. Finding balance doesn't mean giving up all technology forever. And it doesn't mean forgoing our jobs and responsibilities. What it does mean is seizing the little moments that life offers us to engage in real and meaningful interaction. In these pages, Rachel guides you through how to: Acknowledge the cost of your distraction Make purposeful connection with your family Give your kids the gift of your undivided attention Silence your inner critic Let go of the guilt from past mistakes And move forward with compassion and gratefulness So join Rachel and go hands-free. Discover what happens when you choose to open your heart--and your hands--to the possibilities of each God-given moment.

Boy Version

Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key FeaturesGain a practical understanding of deep learning using GolangBuild complex neural network models using Go libraries and GorgoniaTake your deep learning model from design to deployment with this handy guideBook Description Go is an open source programming language designed by Google for handling large-scale projects efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these tools to train and deploy scalable deep learning models from scratch. This deep learning book begins by introducing you to a variety of tools and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms that make neural networks tick. In addition to this, you'll learn how to build advanced architectures such as autoencoders, restricted Boltzmann machines (RBMs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. You'll also understand how you can scale model deployments on the AWS cloud infrastructure for training and inference. By the end of this book, you'll have mastered the art of building, training, and deploying deep learning models in Go to solve real-world problems. What you will learnExplore the Go ecosystem of libraries and communities for deep learningGet to grips with Neural Networks, their history, and how they workDesign and implement Deep Neural Networks in GoGet a strong foundation of concepts such as Backpropagation and MomentumBuild Variational Autoencoders and Restricted Boltzmann Machines using GoBuild models with CUDA and benchmark CPU and GPU modelsWho this book is for This book is for data scientists, machine learning engineers, and AI developers who want to build state-of-the-art deep learning models using Go. Familiarity with basic machine learning concepts and Go programming is required to get the best out of this book.