Little has changed, however, since then: over half of our children still read at a basic level and few become highly proficient. Many American children and adults are not functionally literate, with serious consequences. Poor readers are more likely to drop out of the educational system and as adults are unable to fully participate in the workforce, adequately manage their own health care, or advance their children's education. In Language at the Speed of Sight, internationally renowned cognitive scientist Mark Seidenberg reveals the underexplored science of reading, which spans cognitive science, neurobiology, and linguistics. As Seidenberg shows, the disconnect between science and education is a major factor in America's chronic underachievement. How we teach reading places many children at risk of failure, discriminates against poorer kids, and discourages even those who could have become more successful readers. Children aren't taught basic print skills because educators cling to the disproved theory that good readers guess the words in texts, a strategy that encourages skimming instead of close reading. Interventions for children with reading disabilities are delayed because parents are mistakenly told their kids will catch up if they work harder. Learning to read is more difficult for children who speak a minority dialect in the home, but that is not reflected in classroom practices. By building on science's insights, we can improve how our children read, and take real steps toward solving the inequality that illiteracy breeds. Both an expert look at our relationship with the written word and a rousing call to action, Language at the Speed of Sight is essential for parents, educators, policy makers, and all others who want to understand why so many fail to read, and how to change that.

    Many examples are taken from real-world projects. The book focuses on high-level design as well as the gritty details of the Python syntax. The provided exercises inspire the reader to think about his or her own code, rather than providing solved problems. If you're new to Object Oriented Programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply Object Oriented Programming in Python, this is the book for you. If you are an object-oriented programmer for other languages, you too will find this book a useful introduction to Python, as it uses terminology you are already familiar with. Python 2 programmers seeking a leg up in the new world of Python 3 will also find the book beneficial, and you need not necessarily know Python 2.

    Making mistakes has always been a part of growing up, but how do parents help their kids navigate childhood and adolescence at a time when social media has the potential to magnify the consequences of those mistakes? Rather than spend all their time worrying about the worst-case scenario, readers get a bigger-picture understanding of their kids' digital landscape. Drawing on research and interviews with educators, psychologists, and kids themselves, Raising a Screen-Smart Kid offers practical advice on how parents can help their kids avoid the pitfalls and reap the benefits of the digital age by:- using social media to enhance connection with friends and family, instead of following strangers and celebrities, which is a predictor of loneliness and depression - finding online support and community for conditions such as depression and eating disorders, while avoiding potential triggers such as #Thinspiration Pinterest boards - learning and developing life skills through technology--for example, by problem-solving in online games--while avoiding inappropriate contentWritten by a public health expert and the creator of the popular blog Rants from Mommyland, this book shows parents how to help their kids navigate friendships, bullying, dating, self-esteem, and more online.

    With this hands-on guide, you'll learn how to write effective, idiomatic Python code by leveraging its best and possibly most neglected features. Author Luciano Ramalho takes you through Python's core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work"

    Each of the book’s nine chapters centers on a key lesson: in the eggs chapter, readers will learn about timing and temperature while poaching, frying, and scrambling; in the soups chapter, they will learn to layer flavors through recipes like Green Curry with Chicken. The rigorously tested recipes—including wholesome lunches, dinner-party showstoppers, and delectable desserts—will become part of readers’ daily repertoires. Beautiful photographs show both the finished dishes and the how-to techniques, and helpful illustrations offer further guidance.

    We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers.

    This book combines educational research with examples of how retrieval practice can work inside and outside of the classroom.Filled with evidence-informed ideas to support all teachers and leaders across Primary and Secondary. Retrieval practice is a vital element of the science of learning. Understanding how children learn is essential for all educators from NQTs to more experienced teachers and senior leaders.The educational research is presented in a format which is accessible, useful and informative and will help inform educators about cutting-edge research in a comprehensive, clear and applicable way. The practical resources are adaptable and ready to be implemented in any classroom to support and enhance teaching, learning and long term memory.

    If you're a reasonably proficient programmer who can think logically, you have all the background you'll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you'll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You'll also gain deep insight into the value of mathematics to programming--insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn aboutHow to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiencyAncient paradoxes, beautiful theorems, and the productive tension between continuous and discreteA simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on itPowerful mathematical approaches to abstractionHow abstract algebra provides the idea at the heart of generic programmingAxioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structuresSurprising subtleties of simple programming tasks and what you can learn from themHow practical implementations can exploit theoretical knowledge

    The books also provides a companion web site that provides the toold and materials necessary to build the hardware and software.

    The artificial intelligence system, created by DeepMind, had been fed nothing but the rules of the Royal Game when it beat the world’s strongest chess engine in a prolonged match. The selection of ten games published in December 2017 created a worldwide sensation: how was it possible to play in such a brilliant and risky style and not lose a single game against an opponent of superhuman strength?For Game Changer, Matthew Sadler and Natasha Regan investigated more than two thousand previously unpublished games by AlphaZero. They also had unparalleled access to its team of developers and were offered a unique look ‘under the bonnet’ to grasp the depth and breadth of AlphaZero’s search. Sadler and Regan reveal its thinking process and tell the story of the human motivation and the techniques that created AlphaZero.Game Changer also presents a collection of lucidly explained chess games of astonishing quality. Both professionals and club players will improve their game by studying AlphaZero’s stunning discoveries in every field that matters: opening preparation, piece mobility, initiative, attacking techniques, long-term sacrifices and much more.The story of AlphaZero has a wider impact. Game Changer offers intriguing insights into the opportunities and horizons of Artificial Intelligence. Not just in solving games, but in providing solutions for a wide variety of challenges in society.With a foreword by former World Chess Champion Garry Kasparov and an introduction by DeepMind CEO Demis Hassabis.Matthew Sadler (1974) is a Grandmaster who twice won the British Championship and was awarded an individual Gold Medal at the 1996 Olympiad. He has authored several highly acclaimed books on chess and has been writing the famous ‘Sadler on Books’ column for New In Chess magazine for many years. Natasha Regan is a Women’s International Master from England who achieved a degree in mathematics from Cambridge University. Matthew Sadler and Natasha Regan won the English Chess Federation 2016 Book of the Award for their book Chess for Life.

    Targeting the moments when you are most stressed and uncomfortable, Dr Ceri Evans' red-blue mind model converts his clinical insights into a simple approach that will help you gain emotional control when you need it most.If you want to be better at what you do, pressure is unavoidable. This book will help you feel comfortable being uncomfortable, overcome mental obstacles and unlock your true potential.'We all feel pressure. Ceri just makes it easy to understand so you can deal with it.'STEVE HANSEN, All Blacks coach'Performing under pressure is the platform for a successful career. Ceri helped me clear my mind, focus on decisive matters and strengthen my vision for the team.'ARSENE WENGER, manager, Arsenal FC, 1996-2018

    The leading selling UNIX internals book on the market.

    Season 1, comprising 20 essays totaling approximately 30,000 words, is written by Venkatesh Rao and illustrated by Grace Witherell. This inaugural season is an in-depth exploration of Marc Andreessen’s observation that “software is eating the world.”

     If you have ever found yourself lost halfway through other introductory materials on this topic, this is the book for you. If you don't understand set terminology such as vectors, hyperplanes, and centroids, then this is also the book for you. This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. As a starter course, this book connects the dots and offers the crash course I wish I had when I first started. The kind of guide I wish had before I started taking on introductory courses that presume you’re two days away from an advanced mathematics exam. That’s why this introductory course doesn’t go further on the subject than other introductory books, but rather, goes a step back. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner. In this step-by-step guide you will learn: - How to download free datasets - What tools and software packages you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - Clustering, including k-means and k-nearest Neighbors - Naive Bayes Classifier to predict new classes - Anomaly detection and SVM algorithms to combat anomalies and outliers - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification Please feel welcome to join this starter course by buying a copy, or sending a free sample to your preferred device.

    Geek Mom: Projects, Tips, and Adventures for Moms and Their 21st-Century Families explores the many fun and interesting ways that digital-age parents and kids can get their geek on together. Imaginative ideas for all ages and budgets include thrifty Halloween costumes, homemade lava lamps, hobbit feasts, and magical role-playing games. There are even projects for moms to try when they have a few precious moments alone. With six sections spanning everything from home-science experiments to superheroes, this comprehensive handbook from the editors of Wired.com’s popular GeekMom blog is packed with ideas guaranteed to inspire a love of learning and discovery. Along the way, parents will also find important tips on topics such as determining safe online communities for children, organizing a home learning center, and encouraging girls to love science. Being geeky is all about exploring the world with endless curiosity. Geek Mom is your invitation to introducing the same sense of wonder and imagination to the next generation.