Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features * Your guide to learning efficient machine learning processes from scratch * Explore expert techniques and hacks for a variety of machine learning concepts * Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn * Get a quick rundown of model selection, statistical modeling, and cross-validation * Choose the best machine learning algorithm to solve your problem * Explore kernel learning, neural networks, and time-series analysis * Train deep learning models and optimize them for maximum performance * Briefly cover Bayesian techniques and sentiment analysis in your NLP solution * Implement probabilistic graphical models and causal inferences * Measure and optimize the performance of your machine learning models Who this book is for If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features * Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras * Implement advanced concepts and popular machine learning algorithms in real-world projects * Build analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn * Understand the Python data science stack and commonly used algorithms * Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window * Understand NLP concepts by creating a custom news feed * Create applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forked * Gain the skills to build a chatbot from scratch using PySpark * Develop a market-prediction app using stock data * Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

Big data processing and analytics at speed and scale using command line tools. Key Features * Perform string processing, numerical computations, and more using CLI tools * Understand the essential components of data science development workflow * Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools. What you will learn * Understand how to set up the command line for data science * Use AWK programming language commands to search quickly in large datasets. * Work with files and APIs using the command line * Share and collect data with CLI tools * Perform visualization with commands and functions * Uncover machine-level programming practices with a modern approach to data science Who this book is for This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features * A go-to guide to help you master AI algorithms and concepts * 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance * Use TensorFlow, Keras, and other Python libraries to implement smart AI applications Book Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learn * Build an intelligent machine translation system using seq-2-seq neural translation machines * Create AI applications using GAN and deploy smart mobile apps using TensorFlow * Translate videos into text using CNN and RNN * Implement smart AI Chatbots, and integrate and extend them in several domains * Create smart reinforcement, learning-based applications using Q-Learning * Break and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

Power up your network applications with Python programming Key Features * Master Python skills to develop powerful network applications * Grasp the fundamentals and functionalities of SDN * Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: * Practical Network Automation by Abhishek Ratan * Mastering Python Networking by Eric Chou * Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker What you will learn * Create socket-based networks with asynchronous models * Develop client apps for web APIs, including S3 Amazon and Twitter * Talk to email and remote network servers with different protocols * Integrate Python with Cisco, Juniper, and Arista eAPI for automation * Use Telnet and SSH connections for remote system monitoring * Interact with websites via XML-RPC, SOAP, and REST APIs * Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX * Configure virtual networks in different deployment environments Who this book is for If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server Key Features * Unique problem-solution approach to aid effective business decision-making * Create interactive dashboards and implement powerful business intelligence solutions * Includes best practices on using Tableau with modern cloud analytics services Book Description Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features. What you will learn * Understand the basic and advanced skills of Tableau Desktop * Implement best practices of visualization, dashboard, and storytelling * Learn advanced analytics with the use of build in statistics * Deploy the multi-node server on Linux and Windows * Use Tableau with big data sources such as Hadoop, Athena, and Spectrum * Cover Tableau built-in functions for forecasting using R packages * Combine, shape, and clean data for analysis using Tableau Prep * Extend Tableau’s functionalities with REST API and R/Python Who this book is for Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is required.

Enhance your programming skills by learning the intricacies of object oriented programming in C# 8 Key Features * Understand the four pillars of OOP; encapsulation, inheritance, abstraction and polymorphism * Leverage the latest features of C# 8 including nullable reference types and Async Streams * Explore various design patterns, principles, and best practices in OOP Book Description Object-oriented programming (OOP) is a programming paradigm organized around objects rather than actions, and data rather than logic. With the latest release of C#, you can look forward to new additions that improve object-oriented programming. This book will get you up to speed with OOP in C# in an engaging and interactive way. The book starts off by introducing you to C# language essentials and explaining OOP concepts through simple programs. You will then go on to learn how to use classes, interfacesm and properties to write pure OOP code in your applications. You will broaden your understanding of OOP further as you delve into some of the advanced features of the language, such as using events, delegates, and generics. Next, you will learn the secrets of writing good code by following design patterns and design principles. You'll also understand problem statements with their solutions and learn how to work with databases with the help of ADO.NET. Further on, you'll discover a chapter dedicated to the Git version control system. As you approach the conclusion, you'll be able to work through OOP-specific interview questions and understand how to tackle them. By the end of this book, you will have a good understanding of OOP with C# and be able to take your skills to the next level. What you will learn * Master OOP paradigm fundamentals * Explore various types of exceptions * Utilize C# language constructs efficiently * Solve complex design problems by understanding OOP * Understand how to work with databases using ADO.NET * Understand the power of generics in C# * Get insights into the popular version control system, Git * Learn how to model and design your software Who this book is for This book is designed for people who are new to object-oriented programming. Basic C# skills are assumed, however, prior knowledge of OOP in any other language is not required.

A hands on approach to learning ReasonML from the perspective of a web developer. Key Features * Hands on learning by building a real world app shell that includes client-side routing and more. * Understand Reason’s ecosystem including BuckleScript and various npm workflows. * Learn how Reason differs from TypeScript and Flow, and how to use it to make refactoring less stressful. Book Description ReasonML, also known as Reason, is a new syntax and toolchain for OCaml that was created by Facebook and is meant to be approachable for web developers. Although OCaml has several resources, most of them are from the perspective of systems development. This book, alternatively, explores Reason from the perspective of web development. You'll learn how to use Reason to build safer, simpler React applications and why you would want to do so. Reason supports immutability by default, which works quite well in the context of React. In learning Reason, you will also learn about its ecosystem – BuckleScript, JavaScript interoperability, and various npm workflows. We learn by building a real-world app shell, including a client-side router with page transitions, that we can customize for any Reason project. You'll learn how to leverage OCaml's excellent type system to enforce guarantees about business logic, as well as preventing runtime type errors.You'll also see how the type system can help offload concerns that we once had to keep in our heads. We'll explore using CSS-in-Reason, how to use external JSON in Reason, and how to unit-test critical business logic. By the end of the book, you'll understand why Reason is exploding in popularity and will have a solid foundation on which to continue your journey with Reason. What you will learn * Learn why Reason is exploding in popularity and why it's the future of React * Become familiar with Reason's syntax and semantics * Learn about Reason's ecosystem: BuckleScript and JavaScript interoperability * Learn how to build React applications with Reason * Learn how to use Reason's type system as a tool to provide amazing guarantees * Gain a solid foundation on which to continue your journey Who this book is for The target audience of this book is web developers who are somewhat familiar with ReactJS and who want to learn why ReasonML is the future of ReactJS.

From the critically acclaimed author of Waiting for Normal and All Rise for the Honorable Perry T. Cook, Leslie Connor, comes a deeply poignant and beautifully crafted story about self-reliance, redemption, and hope.Mason Buttle is the biggest, sweatiest kid in his grade, and everyone knows he can barely read or write. Mason’s learning disabilities are compounded by grief. Fifteen months ago, Mason’s best friend, Benny Kilmartin, turned up dead in the Buttle family’s orchard.An investigation drags on, and Mason, honest as the day is long, can’t understand why Lieutenant Baird won’t believe the story Mason has told about that day. Both Mason and his new friend, tiny Calvin Chumsky, are relentlessly bullied by the other boys in their neighborhood, so they create an underground haven for themselves. When Calvin goes missing, Mason finds himself in trouble again. He’s desperate to figure out what happened to Calvin and, eventually, Benny. But will anyone believe him? National Book Award Finalist * ALA Schneider Family Book Award * 2019 ALSC Notable Children’s Book * Publishers Weekly Best Books of 2018 * 2019-2020 Nebraska Golden Sower Award * Amazon Best Books of 2018 * Kirkus Best of Children's 2018 * New York Public Library Best Books 2018 * Chicago Public Library Best of the Best Books 2018 * 2018 Nerdy Book Club Middle Grade Winner * South Carolina Junior Book Award Nominee * 2020 Colorado Children's Book Award Nominee * Bank Street Best Children's Book of the Year 2019 (9-12) * 2020 Grand Canyon Reader Award Nominee * 2020-2021 Missouri Association of School Librarians Mark Twain Readers Award Preliminary Nominee * 2020-2021 Indiana Young Hoosier Book Award Nominee *

Welcome to Zoone: crossroads of the multiverse. In this inventive fantasy, fans of Diana Wynne Jones and Lisa McMann will step through an enchanted doorway and into a world filled with infinite portals to new—and sometimes perilous—lands.  When a bright blue winged tiger appears on his aunt’s sofa, Ozzie can tell he’s in for an adventure. He’s thrilled to follow Tug—a skyger—through a secret door in the basement and into Zoone, the bustling Grand Central Station of the universe, where a thousand doors act as portals to strange and wonderful worlds.But some doors also hide dangers—and when the portal back to Earth explodes behind him, Ozzie gets more adventure than he bargained for. In a station full of wizards, creepy-crawlies, and the occasional cursed princess, Ozzie has to find a way to repair his door… and possibly save the multiverse in the process. Brimming with colorful characters, magical mayhem, and endless adventure, this new tween series has a doorway for every reader—just be sure to close the door behind you!

The scientist who has been dubbed the “Father of Intelligent Design” and author of the groundbreaking book Darwin’s Black Box contends that recent scientific discoveries further disprove Darwinism and strengthen the case for an intelligent creator. In his controversial bestseller Darwin’s Black Box, biochemist Michael Behe challenged Darwin’s theory of evolution, arguing that science itself has proven that intelligent design is a better explanation for the origin of life. In Darwin Devolves, Behe advances his argument, presenting new research that offers a startling reconsideration of how Darwin’s mechanism works, weakening the theory’s validity even more. A system of natural selection acting on random mutation, evolution can help make something look and act differently. But evolution never creates something organically. Behe contends that Darwinism actually works by a process of devolution—damaging cells in DNA in order to create something new at the lowest biological levels. This is important, he makes clear, because it shows the Darwinian process cannot explain the creation of life itself. “A process that so easily tears down sophisticated machinery is not one which will build complex, functional systems,” he writes.In addition to disputing the methodology of Darwinism and how it conflicts with the concept of creation, Behe reveals that what makes Intelligent Design unique—and right—is that it acknowledges causation. Evolution proposes that organisms living today are descended with modification from organisms that lived in the distant past. But Intelligent Design goes a step further asking, what caused such astounding changes to take place? What is the reason or mechanism for evolution? For Behe, this is what makes Intelligent Design so important.

“As intellectually playful as the best of Thomas Pynchon and as sardonically warm as the best of Kurt Vonnegut, The Heap is both a hilarious send-up of life under late capitalism and a moving exploration of the peculiar loneliness of the early 21st century. A masterful and humane gem of a novel.” —Shaun Hamill, author of A Cosmology of MonstersBlending the piercing humor of Alexandra Kleeman and the jagged satire of Black Mirror, an audacious, eerily prescient debut novel that chronicles the rise and fall of a massive high-rise housing complex, and the lives it affected before - and after - its demise.Standing nearly five hundred stories tall, Los Verticalés once bustled with life and excitement. Now this marvel of modern architecture and nontraditional urban planning has collapsed into a pile of rubble known as the Heap. In exchange for digging gear, a rehabilitated bicycle, and a small living stipend, a vast community of Dig Hands removes debris, trash, and bodies from the building’s mountainous remains, which Orville Anders burrows into the bowels of the Heap to find his brother Bernard, the beloved radio DJ of Los Verticalés, who is alive and miraculously broadcasting somewhere under the massive rubble. For months, Orville has lived in a sea of campers that surrounds the Heap, working tirelessly to free Bernard—the only known survivor of the imploded city—whom he speaks to every evening, calling into his radio show.The brothers’ conversations are a ratings bonanza, and the station’s parent company, Sundial Media, wants to boost its profits by having Orville slyly drop brand names into his nightly talks with Bernard. When Orville refuses, his access to Bernard is suddenly cut off, but strangely, he continues to hear his own voice over the airwaves, casually shilling products as “he” converses with Bernard.What follows is an imaginative and darkly hilarious story of conspiracy, revenge, and the strange life and death of Los Verticalés that both captures the wonderful weirdness of community and the bonds that tie us together.

常识告诉我们，你总是可以选择你对待事件的反应。 但是，正如企业顾问Stephen Klemich和临床心理学家Mara Klemich所主张的那样，除非你意识到自己为什么要做出选择，以及内心和大脑如何共同塑造你的行为，否则你根本无法改变根深蒂固的行为模式，这也就是为什么人们总是会重复自己犯过的错误和消极的行为。本书对此进行了深入的探讨并提出改变的可行办法，让你可以对自己和周围做的世界出积极的影响。 A leadership consultant and neuropsychologist identify the universal habits of the heart and mind—the keys to unlocking our true potential, creating our best selves and?eliminating behavior patterns that hold us back.?Why is it so hard for leaders to coach employees who are struggling? Why do we repeat the same mistakes and negative behaviors? Common wisdom says you always have a choice in how you react or respond. But, as corporate consultant Stephen Klemich and clinical psychologist Mara Klemich contend, until you recognize why you make choices, and how the heart and the brain work together to shape your behavior, you can’t change long-ingrained patterns and discover your best self.The Klemichs have developed a model backed by extensive research and data, and paired it with character-led personal development, to help you answer the "Why?" and eliminate behavior that is “below the line.” In Above the Line, they argue that that the quality of your life flows from the attitudes of your heart. Offering wise, compassionate, and practical advice, this book explores the deep, fundamental drivers of human behavior that exist within your heart—the seat of your character. It reveals that all of these behaviors can be explained by four principles—humility, love, pride, and fear—which influence every facet of your life, for better or for worse.We are all designed for greatness, but so often our best self is pitted against our worst. The pressures of life are pulling our character below the line while our authentic self is drawing us to live above the line. When you fully understand that the four principles are at the root of your behavior, you can begin the journey to become your best self and navigate life more effectively and successfully. Filled with proven strategies, Above the Line will create lasting changes in your behavior and improve your life personally and professionally—so you can make a positive impact on the world around you.

女性陷入了一个困境：要友善，但不能太友善，要成功，但不能太成功，无论如何，必须招人喜欢。而这一点，阻碍了女性成功的协商薪资、要求升职和工作态度强硬，因为这些总会让人不那么受人喜爱。本书深入探讨了这一偏见和束缚，并提供了现实的办法来帮助解决这个阻碍。 Be nice, but not too nice. Be successful, but not too successful. Just be likeable. Whatever that means?Women are stuck in an impossible bind. At work, strong women are criticized for being cold, and warm women are seen as pushovers. An award-winning journalist examines this fundamental paradox and empowers readers to let go of old rules and reimagine leadership rather than reinventing themselves.Consider that even competent women must appear likeable to successfully negotiate a salary, ask for a promotion, or take credit for a job well done—and that studies show these actions usually make them less likeable. And this minefield is doubly loaded when likeability intersects with race, ethnicity, sexual orientation, and parental status. Relying on extensive research and interviews, and carefully examined personal experience, The Likeability Trap delivers an essential examination of the pressure put on women to be amiable at work, home, and in the public sphere, and explores the price women pay for internalizing those demands. Rather than advising readers to make themselves likeable, Menendez empowers them to examine how they perceive themselves and others and explores how the concept of likeability is riddled with cultural biases. Our demands for likeability, she argues, hinder everyone’s progress and power.Inspiring, thoughtful and often funny, The Likeability Trap proposes surprising, practical solutions for confronting the cultural patterns holding us back, encourages us to value unique talents and styles instead of muting them, and to remember that while likeability is part of the game, it will not break you.

From the New York Times bestselling author of The Plant Paradox comes a guide to one-pot cooking for the whole family, with a special focus how to make the Plant Paradox program kid-friendly.Since the publication of The Plant Paradox in 2017, hundreds of thousands of people have embraced Dr. Gundry’s nutritional protocol—and experienced life-changing results. But most of Dr. Gundry’s readers aren’t cooking for themselves alone. “How can I extend this way of eating to my entire family? And is it safe for my kids?” are the questions he is most often asked.In The Plant Paradox Family Cookbook, Dr. Gundry reassures parents as he sets the record straight, providing an overview of children’s nutritional needs and explaining how we can help our kids thrive on the Plant Paradox program—a diet low in lectins. Dr. Gundry offers shocking evidence of how the Plant Paradox program is not only “safe” for kids, but also the best possible way to set them up for a lifetime of health and responsible eating. As research continues to bear out, a healthy microbiome—or “gut”—is the cornerstone of human health. The foods we eat at the beginning of our lives have a long-term impact on the makeup of our microbiome. Lectin-containing foods—such as grains, legumes, certain fruits and vegetables, and conventional dairy—damage it by creating holes in the gut wall and triggering the kind of systemic inflammation that lays the groundwork for disease. And yet, many of the foods we are routinely told to feed our children—think milk, whole grain bread, peanut butter—have an incredibly high lectin content.The Plant Paradox Family Cookbook includes more than 80 recipes that make cooking for a family a breeze. And since pressure cooking is the best and easiest way to reduce lectin content in foods like grains and beans, the majority of the quick and easy recipes are Instant-Pot friendly. From weeknight dinners to make-ahead breakfasts to snacks and even lunchbox-ready meals, The Plant Paradox Family Cookbook will help the whole family experience the incredible benefits of the Plant Paradox program.

A full-color, plant-based guide to help you slim down and eat and feel better; filled with eighty delicious, vegan recipes and nutritious meal plans from the international phenomenon and bestselling brand BOSH!BOSH! has revolutionized plant-based eating! As the largest and fastest-growing plant-based food channel on the web, and the brand behind the smash international bestselling cookbook, BOSH! has introduced readers across the globe to fun, mouth-watering vegan recipes even meat eaters can love.Now, Henry and Ian are on a mission to help you eat well, feel better, and even lose weight. A comprehensive guide to nutritious, wholesome living using only the power of plants, BOSH!: Healthy Vegan features eighty delicious recipes and nourishing meal plans to get you started and help you stay on track.Packed full of nutrition hacks and lifestyle tips, BOSH!: Healthy Vegan will motivate anyone looking to achieve a fit, lean, and healthy body while staying vegan.

From “one of the greatest writers of our time” (Toni Morrison)—the author of Barracoon and Their Eyes Were Watching God—a collection of remarkable stories, including eight “lost” Harlem Renaissance tales now available to a wide audience for the first time. New York Times’ Books to Watch forBuzzfeed’s Most Anticipated Books of 2020Newsweek’s Most Anticipated BooksForbes.com’s Most Anticipated Books of 2020E!’s Top 2020 Books to ReadGlamour’s Best Books In 1925, Barnard student Zora Neale Hurston—the sole black student at the college—was living in New York, “desperately striving for a toe-hold on the world.” During this period, she began writing short works that captured the zeitgeist of African American life and transformed her into one of the central figures of the Harlem Renaissance. Nearly a century later, this singular talent is recognized as one of the most influential and revered American artists of the modern period.Hitting a Straight Lick with a Crooked Stick is an outstanding collection of stories about love and migration, gender and class, racism and sexism that proudly reflect African American folk culture. Brought together for the first time in one volume, they include eight of Hurston’s “lost” Harlem stories, which were found in forgotten periodicals and archives. These stories challenge conceptions of Hurston as an author of rural fiction and include gems that flash with her biting, satiric humor, as well as more serious tales reflective of the cultural currents of Hurston’s world. All are timeless classics that enrich our understanding and appreciation of this exceptional writer’s voice and her contributions to America’s literary traditions.

In Turbo Racers: Trailblazer, twelve-year-old Mace Blazer gets the chance to pilot a state-of-the-art vehicle that transforms at the touch of a button from race car to jet plane to single-person sub, in the biggest race in the world.The roar of the crowd, the glow of the spotlight, the thrill of the race—Mace Blazer dreams of going TURBO.TURBOnauts thrive on the thrum of trimorphers’s rocket engines as the vehicles morph from super-powered race cars to speeding jet aircrafts to torpedo-fast submarines, while they race full-throttle around every bend. And Mace believes he’s got what it takes to join their ranks—he only needs the chance to prove it.So when a reclusive retired racer chooses Mace to try out to be part of the next generation of TURBOnauts, Mace knows that this is his moment to show what he can do. But the path to his big shot means facing down the best and the brightest from around the world. Mace will have to live more fearlessly, hone quicker reflexes, be revolutionary—but will it be enough?Mace quickly realizes that everything he’s ever hoped for comes at a price. He’ll have to decide between what is right and what is easy. Every morph counts in the first book in this exhilarating new adventure series by the acclaimed author of The Islands at the End of the World, Austin Aslan.This is the first title in a high-stakes middle-grade two-book series!

A hilarious new middle grade novel from beloved and bestselling author Gordon Korman about what happens when the worst class of kids in school is paired with the worst teacher—perfect for fans of Ms. Bixby’s Last Day. The Unteachables are a notorious class of misfits, delinquents, and academic train wrecks. Like Aldo, with anger management issues; Parker, who can’t read; Kiana, who doesn’t even belong in the class—or any class; and Elaine (rhymes with pain). The Unteachables have been removed from the student body and isolated in room 117.Their teacher is Mr. Zachary Kermit, the most burned-out teacher in all of Greenwich. He was once a rising star, but his career was shattered by a cheating scandal that still haunts him. After years of phoning it in, he is finally one year away from early retirement. But the superintendent has his own plans to torpedo that idea—and it involves assigning Mr. Kermit to the Unteachables.The Unteachables never thought they’d find a teacher who had a worse attitude than they did. And Mr. Kermit never thought he would actually care about teaching again. Over the course of a school year, though, room 117 will experience mayhem, destruction—and maybe even a shot at redemption.

A funny, suspenseful mystery and unlikely friendship story from New York Times bestselling author Gordon Korman—perfect for fans of Swindle and Ungifted.Keenan has lived all over the world but nowhere quite as strange as Centerlight Island, which is split between the United States and Canada. The only thing weirder than Centerlight itself is his neighbor Zarabeth, aka ZeeBee.ZeeBee is obsessed with the island’s history as a Prohibition-era smuggling route. She’s also convinced that her beloved dog, Barney, was murdered—something Keenan finds pretty hard to believe.Just about everyone on Centerlight is a suspect, because everyone hated Barney, a huge dog—part mastiff, part rottweiler—notorious for terrorizing the community. Accompanied by a mild-mannered new dog who is practically Barney’s opposite, ZeeBee enlists Keenan’s help to solve the mystery.As Keenan and ZeeBee start to unravel the clues, they uncover a shocking conspiracy that dates back to Centerlight’s gangster past. The good news is that Keenan may have found the best friend he’s ever had. The bad news is that the stakes are sky-high.And now someone is after them. . . .

From Democratic Party rising star Jane Kleeb, an urgent and stirring road map showing how the Democratic Party can, and should, engage rural AmericaThe Democratic Party has lost an entire generation of rural voters. By focusing the majority of their message and resources on urban and coastal voters, Democrats have sacrificed entire regions of the country where there is more common ground and shared values than what appears on the surface.In Harvest the Vote, Jane Kleeb, chair of Nebraska’s Democratic Party and founder of Bold Nebraska, brings us a lively and sweeping argument for why the Democrats shouldn’t turn away from rural America. As a party leader and longtime activist, Kleeb speaks from experience. She’s been fighting the national party for more resources and building a grassroots movement to flex the power of a voting bloc that has long been ignored and forgotten.Kleeb persuasively argues that the hottest issues of the day can be solved hand in hand with rural people. On climate change, Kleeb shows that the vast spaces of rural America can be used to enact clean energy innovations. And issues of eminent domain and corporate overreach will galvanize unlikely alliances of family farmers, ranchers, small business owners, progressives, and tribal leaders, much as they did when she helped fight the Keystone XL pipeline. The hot-button issues of guns and abortion that the Republican Party uses to wedge voters against one another can be bridged by putting a megaphone next to issues critical to rural communities.Written with a fiery voice and commonsense solutions, Harvest the Vote is both a call to action and a much-needed balm for a highly divided nation.