Search results for ""Manning""

Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive domains. This revised and expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package. R in Action, Third Edition teaches you to use the R language, including the popular tidy verse packages, through hands-on examples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert RobKabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations. The R language is the most powerful platform you can choose for modern data analysis. Free and open source, R's community has created thousands of modules to tackle challenges from data-crunching to presentation. R's graphical capabilities are also state-of-the-art, with a comprehensive and powerful feature set available for data visualization. R runs on all major operating systems and is used by businesses, researchers, and organizations worldwide.

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Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return.

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Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Key features • Structuring problems as Markov Decision Processes • Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them • Applying reinforcement learning algorithms to real-world problems Audience You’ll need intermediate Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but that’s not all it can do! Alexander Zai is a Machine Learning Engineer at Amazon AI working on MXNet that powers a suite of AWS machine learning products. Brandon Brown is a Machine Learning and Data Analysis blogger at outlace.com committed to providing clear teaching on difficult topics for newcomers.

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Description Fully updated to include the latest revisions and updates to AWS; this new edition also offers three new chapters covering the latest additions to the AWS platform: serverless infrastructure automation with AWS Lambda, sharing data volumes between machines with EFS, and caching data in memory with ElastiCache! Amazon Web Services in Action, Second Edition is a comprehensive introduction to computing, storing, and networking in the AWS cloud. Readers will find clear, relevant coverage of all the essential AWS services they need to know, emphasizing best practices for security, high availability and scalability. Key features · Hands-on guide · Practical examples · Step-by-step instructions Audience Written for developers and DevOps engineers moving distributed applications to the AWS platform. About the technology AWS is known as a cloud computing platform. Cloud computing, or the cloud, is a metaphor for supply and consumption of IT resources. The IT resources in the cloud aren’t directly visible to the user; there are layers of abstraction in between.

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The idea behind Docker is simple. Create a tiny virtual environment called a container that holds just your application and its dependencies. The Docker engine uses the host operating system to keep track of your containers. Applications running inside containers share resources, making their footprints small. They are easy to install, manage, and remove. Docker in Action, Second Edition teaches you to create, deploy, and manage applications hosted in Docker containers running on Linux. Fully updated, with four new chapters and revised best practices and examples, this second edition begins with a clear explanation of the Docker model. Then, you go hands-on with packaging applications, testing, installing, running programs securely, and deploying them across a cluster of hosts. With examples showing how Docker benefits the whole dev lifecycle, you'll discover techniques for everything from dev-and-test machines to full-scale cloud deployments.

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Description Why use several languages for a web application when you only need one? Node.js is a server-side platform and runtime that readers can use to build full stack web applications entirely in JavaScript! Get Programming with Node.js teaches readers to write server-side code in JavaScript using Node.js. In 34 fast-paced, fun, and practical lessons, readers discover how to extend their existing JavaScript skills to write back-end code for their web applications. Key features · Fast-paced · Practical lessons · Hands-on guide Audience Written for developers who know HTML, CSS, and JavaScript. No prior experience with Node.js is required. About the technology Node supports scalable, high-performance applications with easy asynchronous communication, an event-driven mindset, and a vast ecosystem of tools and modules. Node can handle the real-time response rates that games, chat sites, and statistical services need, and you get to program everything in JavaScript. Author biography Jonathan Wexler has an extensive background in computer theory and web development. Having curated a Node.js curriculum as the academic director and lead developer for The New York Code and Design Academy, Jonathan has instructed multiple intensive programs in full stack development and currently works as a senior developer for Bloomberg LP.

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Description All aspects of software development and deployment become painfully slow. The solution is to adopt the microservice architecture. This architecture accelerates software development and enables continuous delivery and deployment of complex software applications. Microservice Patterns teaches enterprise developers and architects how to build applications with the microservice architecture. This book also teaches readers how to refactor a monolithic application to a microservice architecture. Key features · In-depth guide · Practical examples · Step-by-step instructions Audience Readers should be familiar with the basics of enterprise application architecture, design, and implementation. About the technology Microservice architecture accelerates software development and enables continuous delivery and deployment of complex software applications. Author biography Chris Richardson is a developer and architect. He is a Java Champion, a JavaOne rock star and the author of POJOs in Action, which describes how to build enterprise Java applications with frameworks such as Spring and Hibernate. Chris was also the founder of the original CloudFoundry.com, an early Java PaaS for Amazon EC2. Today, he is a recognized thought leader in microservices. Chris is the creator of http://microservices.io , a website describing how to develop and deploy microservices. He provides microservices consulting and training and is working on his third startup http://eventuate.io , an application platform for developing microservices.

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Kotlin is a new programming language targeting the Java platform. Itoffers on expressiveness and safety without compromising simplicity,seamless interoperability with existing Java code, and great toolingsupport. Because Kotlin generates regular Java bytecode and workstogether with existing Java libraries and frameworks, it can be usedalmost everywhere where Java is used today - for server-sidedevelopment, Android apps, and much more. Kotlin in Action takes experienced Java developers from the languagebasics all the way through building applications to run on the JVM andAndroid devices. Written by core developers of Kotlin, this examplerichbook begins by teaching the basic syntax of the Kotlin language.Then readers learn how to use features that let them build reusableabstractions, higher-level functions, libraries, and even entire domainspecific languages. Finally, the book focuses on details of applyingKotlin in real-world projects, such as build system integration, Androidsupport and concurrent programming. KEY FEATURES • Hands on examples• Tutorial for a new programming language• Teaches how to build Android applications• Written by core developers of Kotlin AUDIENCEThis book is for experienced Java developers. ABOUT THE TECHNOLOGYKotlin is a new programming language targeting the Java platform. It offersexpressiveness and safety without compromising simplicity, seamlessinteroperability with existing Java code, and great tooling support.

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The Internet of Things (IoT) is a hot topic! Analysts call it a disruptive technology. Competing standards and technologies pop up daily, and there are no tangible signs of a single protocol that will let all devices, services, and applications communicate seamlessly. Fortunately, there's a great universal IoT application platform available now: the World Wide Web. Web standards and tools provide the ideal substrate for connected devices and applications to exchange data. This vision is called the Web of Things. Building the Web of Things is a hands-on guide for designing and implementing scalable, flexible, and open IoT solutions using Web technologies. This book provides the right balance of theory, code samples, and practical examples, and shows how to connect all sorts of devices to the Web and expose their services and data over REST APIs. After building a simple proof of concept app, readers will learn a systematic methodology and system architecture for connecting things to the Web, finding other things, sharing data, and combining these components to rapidly build distributed applications and physical mashups. With each chapter, readers gain the knowledge and skills needed to take full advantage of a new generation of real-time, web-connected devices and services, giving them the ability to build scalable applications that merge the physical and digital worlds. KEY FEATURES Gets readers started with the Web of Things in minutes Offers a complete toolbox of Web and Internet technologies Hands-on guide for using the web to connect apps to the real world ABOUT THE TECHNOLOGY The Web of Things is about using the latest Web technologies as the underlying application-level protocol for the Internet of Things (IoT). While the Internet of Things mainly focuses on the networking side of how to connect things, the Web of Things focuses on the application layer, i.e., how things can expose and share their data and services so that they can easily be consumed by Web applications.

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Master the geometry behind CAD, game engines, GIS, and more! Geometry for Programmers is a hands-on book teaching you the maths behind the tools and libraries to create simulations, 3D prints, and other models in the physical world. Ideal for developers writing code using CAD libraries, game engines, or rendering tools, the textbook guides you through the math behind graphics and modelling tools using relevant examples and clear explanations that don't require advanced mathematical knowledge. You will learn how mastering manual geometry can help you avoid code layering and repetition and even how to drive down cloud hosting costs by creating more efficient application runtimes. Key features include: Speak the language of applied geometry Compose geometric transformations economically Craft custom splines for efficient curves and surface generation Pick and implement the right geometric transformations Confidently use important algorithms that operate on triangle meshes, distance functions, and voxels Filled with charts, illustrations, and complex equations rendered as simple Python code, this book unlocks geometry in a way you can apply it to your daily work. About the technology Geometry is the core of game engines, computer-aided design, image-processing libraries, GIS, and much more. Understanding the mathematical underpinnings of tools and libraries empowers you to develop more efficient programming strategies. This unique guide gives you control over the geometry you need to deliver faster, cleaner results— and even build your own geometry tools!

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The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's requirements Setting up the infrastructure for the project and resourcing a team Working with clients and other stakeholders Dealing with data resources and bringing them into the project for use Handling the lifecycle of models in the project Managing the application of ML algorithms Evaluating the performance of algorithms and models Making decisions about which models to adopt for delivery Taking models through development and testing Integrating models with production systems to create effective applications Steps and behaviours for managing the ethical implications of ML technology About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear — this book lays out the unique practices you will need to ensure your projects succeed!

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Enter the Web Design Playground and start experimenting with all aspects of creating a web page—from design, to development, to publishing—in an easy-to-use free online workspace. Suitable for anyone interested in creating web pages. In Web Design Playground, Second Edition you'll learn essential tools of the web design trade, such as: Structuring a web page with HTML Styling a web page with CSS Modern page layout techniques Using colors in web design Making text look awesome with typography About the technology HTML, CSS, and the principles of good web design are all you need to build something beautiful! You'll find them all inside this one-of-a-kind guide. Written by web designer and master teacher Paul McFedries, this unique book shapes and sharpens your skills in the always-relevant technologies of the web.

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DESCRIPTION AngularJS has rapidly become the most popular web development framework for browser-based applications, but it's not a great solution for mobile apps. Ionic, an open source framework, blends the best features of AngularJS with Cordova (previously known as Phonegap) to package web applications into a native-quality mobile app. In other words, it allows users to build mobile apps using the web technologies they already know and love. Ionic does all the heavy lifting using CSS and JavaScript so users can get clean, native looking cross-platform apps without the hassle of building separate native apps for iOS and Android. Ionic in Action teaches web developers how to build cross-platform mobile apps for phones and tablets. It helps them extend their web development skills to build apps that are indistinguishable from native iOS or Android projects. With carefully explained examples the book shows how to build several mobile apps that demonstrate mobile-specific features such as GPS, camera, notifications, UI controls, and integrating with external data sources. Lastly, the book covers ways to test apps to improve stability and catch errors during development. KEY SELLING POINTS Covers the entire mobile development process Best practices for building mobile apps Sample apps demonstrate wide set of available features AUDIENCE The reader should be experienced in web development with HTML, CSS, and JavaScript. Some familiarity with AngularJS is helpful but not required. ABOUT THE TECHNOLOGY AngularJS is the most popular web development framework for browser-based applications. Ionic, an open source framework, blends the best features of AngularJS with Cordova (previously known as Phonegap) to package web applications into a native-quality mobile app. The book teaches how to build mobile apps for phones and tablets that work on both Apple or Google based operating systems, iOS and Android.

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DESCRIPTION　 Go may be the perfect systems language. Built with simplicity, concurrency, and modern applications in mind, Go provides the core tool set for rapidly building web, cloud, and systems applications. With superstar projects like Docker giving the language a high-visibility boost; it's no wonder that companies are clamoring for experienced Go engineers. With knowledge of a language like Java or C#, it's easy to get started with Go; the trick is finding the practical dirt-under-the-fingernails techniques that are needed to build production-ready code. Go in Practice guides readers through dozens of real-world techniques in key areas like package management and microservice communication. Following a cookbook-style Problem/Solution/Discussion format, this practical handbook builds on the foundational concepts of the Go language and introduces specific strategies that can be used in day-to-day applications. Readers will learn techniques for building web services, such as using Go in the cloud, testing and debugging, routing, and network applications. KEY FEATURES  Practical hands-on guide  Based on hard-earned knowledge  Contains dozens of real-world techniques AUDIENCE Written for readers who have already started exploring Go and want to use it effectively in a production setting. ABOUT THE TECHNOLOGY Built with simplicity, concurrency, and modern applications in mind, Go provides the core tool set for rapidly building web, cloud, and systems applications. With superstar projects like Docker giving the language a high-visibility boost, it's no wonder that companies are clamoring for experienced Go engineers.

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When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.

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Getting Started with Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. By following the numerous Python-based examples and real-world case studies, you’ll apply NLP to search applications, extracting meaning from text, sentiment analysis, user profiling, and more. When you’re done, you’ll have a solid grounding in NLP that will serve as a foundation for further learning. Key Features · Extracting information from raw text · Named entity recognition · Automating summarization of key facts · Topic labeling For beginners to NLP with basic Python skills. About the technology Natural Language Processing is a set of data science techniques that enable machines to make sense of human text and speech. Advances in machine learning and deep learning have made NLP more efficient and reliable than ever, leading to a huge number of new tools and resources. From improving search applications to sentiment analysis, the possible applications of NLP are vast and growing. Ekaterina Kochmar is an Affiliated Lecturer and a Senior Research Associate at the Natural Language and Information Processing group of the Department of Computer Science and Technology, University of Cambridge. She holds an MA degree in Computational Linguistics, an MPhil in Advanced Computer Science, and a PhD in Natural Language Processing.

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Using standards like OpenAPI, you can provide reliable, easy-to-use interfaces that allow other developers safe, controlled access to your software. Designing APIs withSwagger and OpenAPI is a hands-on primer to properly designing and describing your APIs using the most widely-adopted standard. Designing APIswith Swagger and OpenAPI introduces you to a design-first paradigm that will teach you the best practices for describing and designing RESTful APIs using OpenAPI and Swagger. You'll build upon progressively-enhanced examples as you learn to describe an API andthen extend it in the kind of scenarios you'd encounter in the real world. As you go, you'll use the popular Open Source tools to define APIs, generate documentation, and build other developer-friendly components like mocks, server stubs, and client SDKs. Modern web applications are made of multiple components, services, and servers connected through APIs, often using HTTP and REST as their primary interfaces. These architectures rely on APIs that allow access to the functionality of a component without requiring developers to understand the details of how it was implemented. The OpenAPI specification standardizes how you describe RESTful APIs. OpenAPI is vendor-neutral and has been adopted bybig tech companies such as Google, Microsoft, and Amazon.

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The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It's important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that's both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. By the time you're done, you'll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge.

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Build a Career in Data Science is the top guide to help readers get their first data science job, then quickly becoming a senior employee. Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills readers need alongside their technical know-how in order to succeed in the field. Key Features · Creating a portfolio to show off your data science projects · Picking the role that’s right for you · Assessing and negotiating an offer · Leaving gracefully and moving up the ladder · Interviews with professional data scientists about their experiences This book is for readers who possess the foundational technical skills of data science, and want to leverage them into a new or better job in the field. About the technology From analyzing drug trials to helping sports teams pick new draftees, data scientists utilize data to tackle the big questions of a business. But despite demand, high competition and big expectations make data science a challenging field for the unprepared to break into and navigate. Alongside their technical skills, the successful data scientist needs to be a master of understanding data projects, adapting to company needs, and managing stakeholders. Jacqueline Nolis is a data science consultant and co-founder of Nolis, LLC, with a PhD in Industrial Engineering. Jacqueline has spent years mentoring junior data scientists on how to work within organizations and grow their careers. Emily Robinson is a senior data scientist at Warby Parker, and holds a Master's in Management. Emily's academic background includes the study of leadership, negotiation, and experiences of underrepresented groups in STEM.

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D3 allows developers to create scalable graphs for any modern browser. They start with a structure, dataset, or algorithm and programmatically generate static, interactive, or animated images that responsively scale to any screen. D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It's a practical tutorial for creating interactive graphics and data-driven applications using D3. Readers will start with in-depth explanations of D3's out-of-the-box layouts, along with dozens of realworld use cases that align with different types of visualizations. By the end, readers will be ready to integrate D3.js into their web development process and add data visualization to transform any site or internal application. Key Features: · Completely revised and updated · Practical tutorial · In-depth explanations Readers need basic HTML, CSS, and JavaScript skills. No experience with D3 or SVG is required. About the Technology: D3.js is a JavaScript library that allows data to be represented graphically.

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Description The Java Module System, aka "Project Jigsaw", gives Java developers the ability to define and enforce modularity without an outside framework. In The Java Module System, readers will learn how the module system improves reliability and maintainability and can be used to reduce tight coupling of system components. They then discover how to build, compile, and run their own fully modular applications with best practices and expert techniques. Along the way, readers will also explore Java 9's compatibility challenges and how to migrate their application to the module system. Key features · Step-by-step guide · Hands-on examples · Expert techniques Audience If you are a developer who has experience working with Java, then this book is perfect for you. About the technology The Java Module System, aka "Project Jigsaw", gives Java developers the ability to define and enforce modularity without an outside framework.

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DESCRIPTION Businesses and consumers depend on reliable computer networks for banking, learning, entertainment, and staying in touch. Cisco is the leader in networking. Cisco skills are highly valued and there are a lot of opportunities for career advancement for people with these skills. Learn Cisco Network Administration in a Month of Lunches is a tutorial designed for beginners who want to learn how to administer Cisco switches and routers. Readers set aside one hour a day— lunchtime is perfect—for a month, and learn practical Cisco network administration skills faster than they ever thought possible. This book starts with the basics—a clear, concise overview of how Cisco Networks function. Then, readers move systematically through the techniques and features used to perform the most common and important administration tasks. KEY FEATURES • A great start with a great tutorial • Concise and easy-to-follow • Hands-on exercises and labs • Covers the most common and important tasks• A solid foundation for pursuing Cisco certifications AUDIENCE Readers have some experience with Windows system administration. No programming or prior Cisco experience is assumed. ABOUT THE TECHNOLOGY Every organization’s most valuable traffic passes through two types of networking devices: routers and switches. Cisco is a leading manufacturer of the most popular, dependable routers and switches. Because of this, Cisco Network Administration skills are in demand.

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DESCRIPTION OAuth 2 is like the web version of a valet key. Instead of unsafe password-sharing, OAuth offers a much more secure delegation protocol. OAuth is used everywhere, from large providers like Facebook and Google, to small APIs at startups, and even cloud services, it’s the worldwide standard. OAuth 2 is the must-know security protocol on the web today. OAuth 2 in Action teaches practical use and deployment of this protocol from the perspective of a client, authorization server, and resource server. It begins with an overview of OAuth and a look at its components and interactions. Using hands-on examples, it shows how to build a first OAuth client, followed by an authorization server, and then a protected resource. The second part of the book dives into crucial implementation vulnerability, and more advanced topics. By the end of this book, anyone will be able to build and deploy applications that use OAuth on both the client and server sides. KEY FEATURES • Hands-on examples • Connect with major online services like Google, Facebook, Twitter • Takes the reader from beginner to advanced OAuth 2 topics. AUDIENCE Readers need basic programming skills and knowledge of HTTP and JSON. ABOUT THE TECHNOLOGY This HTTP-based security protocol allows the users of a service to enable applications to use that service on their behalf without handing over full control. Web and mobile apps can securely access information from other servers for users, enabling apps to give these users functionality and services from other sites.

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DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users. Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language.

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DESCRIPTION Project tracking systems, test and build tools, source control, continuous integration, and other built-in parts of the software development lifecycle generate a wealth of data that can be used to track and improve the quality and performance of products, processes, and teams. Although the iterative nature of Agile development is perfect for data-driven continuous improvement, the collection, analysis, and application of meaningful metrics often fades in favor of subjective measures that offer less insight into the real challenges of making better software. Continuous Improvement: Measuring and enhancing the performance of Agile teams is a practical book that shows how to take the data already being generated to make teams, processes, and products better. It points out which metrics to use to objectively measure performance and what data really counts, along with where to find it, how to get it, and how to analyze it. The book also shows how all team members can publish their own metrics through dashboards and radiators, taking charge of communicating performance and individual accountability. Along the way, it offers practical data analysis techniques, including a few emerging Big Data practices. KEY SELLING POINTS Straightforward to-the-point writing Contains techniques and tools to improve output Uses everyday examples to get readers up and running quickly Empowers and motivates Agile teams to measure and improve AUDIENCE The reader will ideally be on or be responsible for a team that is practicing Agile development or is about to begin using Agile development. ABOUT THE TECHNOLOGY All practices in this book are designed to work with any development process or tool stack. For its examples, this book uses the Groovy scripting language to gather data and Grails to create the web based dashboards and radiators. MongoDB, a flexible database with built in data analysis, is used to dissect and serve up the data.

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DESCRIPTION Kanban is an emerging second generation agile method inspired by five decades of process excellence in the Japanese auto manufacturing industry, also known as lean thinking. kanban uses visual management techniques that involve stakeholders and facilitates understanding of how the work works. It helps teams adjust demand to capacity, reduce lead times, and create a driver for continuous improvement. Kanban in Action is a down-to-earth, no-frills, get-to-know-the-ropes introduction to kanban. It's based on the real-world experience and observations from two kanban coaches who have introduced this process to dozens of teams. This book covers basic but powerful techniques on how to visualize and track work, construct a kanban board, and how to visualize queues and bottlenecks, and more. RETAIL SELLING POINTS  Down-to-earth introduction to Kanban  Practical advice for making workflow faster  Real-world case studies of Kanban at work AUDIENCE This book is written for all members of the development team, including leaders, coders, and business stakeholders. No experience with kanban is required. ABOUT THE TECHNOLOGY Kanban is an agile software development method for continuous collaborative improvement based on the lean principles of visualizing work, limiting the amount of work in process, and managing the flow of work.

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Political philosophy has long been bound by traditional thinking about the body and the senses. Through an engagement with the state-centered vocabulary of this discipline, Politics of Touch explores the ways in which sensing bodies continually run up against existing political structures. In this groundbreaking work, Erin Manning reconsiders how new politics can arise that challenge the national body politic.In Politics of Touch, Manning develops a new way to conceive the role of the senses, and of touch in particular. Exploring concepts of violence, gender, sexuality, security, democracy, and identity, she traces the ways in which touch informs and reforms the body. Specifically considering tango-a tactile, rhythmic, and improvisational dance- she foregrounds movement as the sensing body's intervention into the political. With a fresh vision and an original theoretical basis, Manning shows the ontogenetic potential of the body, and in doing so, redefines our understanding of the sense of touch in philosophical and political terms. Erin Manning is assistant professor of fine arts at Concordia University and the author of Ephemeral Territories (Minnesota, 2003).

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Chelsea Manning is an American transparency activist, politician and former US Army intelligence analyst. She lives in Brooklyn and works as a security consultant and expert in data science and machine learning. She has written for the Guardian and New York Times and tweets @xychelsea.

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What has a use in the future, unforeseeably, is radically useless now. What has an effect now is not necessarily useful if it falls through the gaps. In For a Pragmatics of the Useless Erin Manning examines what falls outside the purview of already-known functions and established standards of value, not for want of potential but for carrying an excess of it. The figures are various: the infrathin, the artful, proprioceptive tactility, neurodiversity, black life. It is around the latter two that a central refrain echoes: "All black life is neurodiverse life." This is not an equation, but an "approximation of proximity." Manning shows how neurotypicality and whiteness combine to form a normative baseline for existence. Blackness and neurodiversity "schizz" around the baseline, uselessly, pragmatically, figuring a more-than of life living. Manning, in dialogue with Félix Guattari and drawing on the black radical tradition's accounts of black life and the aesthetics of black sociality, proposes a "schizoanalysis" of the more-than, charting a panoply of techniques for other ways of living and learning.

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What has a use in the future, unforeseeably, is radically useless now. What has an effect now is not necessarily useful if it falls through the gaps. In For a Pragmatics of the Useless Erin Manning examines what falls outside the purview of already-known functions and established standards of value, not for want of potential but for carrying an excess of it. The figures are various: the infrathin, the artful, proprioceptive tactility, neurodiversity, black life. It is around the latter two that a central refrain echoes: "All black life is neurodiverse life." This is not an equation, but an "approximation of proximity." Manning shows how neurotypicality and whiteness combine to form a normative baseline for existence. Blackness and neurodiversity "schizz" around the baseline, uselessly, pragmatically, figuring a more-than of life living. Manning, in dialogue with Félix Guattari and drawing on the black radical tradition's accounts of black life and the aesthetics of black sociality, proposes a "schizoanalysis" of the more-than, charting a panoply of techniques for other ways of living and learning.

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Patrick Manning refuses to divide the African diaspora into the experiences of separate regions and nations. Instead, he follows the multiple routes that brought Africans and people of African descent into contact with one another and with Europe, Asia, and the Americas. In weaving these stories together, Manning shows how the waters of the Atlantic Ocean, the Mediterranean Sea, and the Indian Ocean fueled dynamic interactions among black communities and cultures and how these patterns resembled those of a number of connected diasporas concurrently taking shape across the globe. Manning begins in 1400 and traces five central themes: the connections that enabled Africans to mutually identify and hold together as a global community; discourses on race; changes in economic circumstance; the character of family life; and the evolution of popular culture. His approach reveals links among seemingly disparate worlds. In the mid-nineteenth century, for example, slavery came under attack in North America, South America, southern Africa, West Africa, the Ottoman Empire, and India, with former slaves rising to positions of political prominence. Yet at the beginning of the twentieth century, the near-elimination of slavery brought new forms of discrimination that removed almost all blacks from government for half a century. Manning underscores the profound influence that the African diaspora had on world history, demonstrating the inextricable link between black migration and the rise of modernity, especially in regards to the processes of industrialization and urbanization. A remarkably inclusive and far-reaching work, The African Diaspora proves that the advent of modernity cannot be imaginatively or comprehensively engaged without taking the African peoples and the African continent as a whole into account.

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Is God a wrathful judge? A gentle healer? A father? Brother? Friend? In The Relentless Tenderness of Jesus, Brennan Manning brings you to a deeper understanding of the true nature of God. Through poignant and unforgettable stories and challenging observations, Manning helps you stretch your mind and reject simplistic explanations of who God really is. With rich insights you'll see how God can at once be a roaring lion, pacing the globe and seeking you out; and simultaneously a tender lamb, there to comfort you in any time of need. A unique experience, this book will forever change the way you think about God.

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In Always More Than One, the philosopher, visual artist, and dancer Erin Manning explores the concept of the "more than human" in the context of movement, perception, and experience. Working from Whitehead's process philosophy and Simondon's theory of individuation, she extends the concepts of movement and relation developed in her earlier work toward the notion of "choreographic thinking." Here, she uses choreographic thinking to explore a mode of perception prior to the settling of experience into established categories. Manning connects this to the concept of "autistic perception," described by autistics as the awareness of a relational field prior to the so-called neurotypical tendency to "chunk" experience into predetermined subjects and objects. Autistics explain that, rather than immediately distinguishing objects—such as chairs and tables and humans—from one another on entering a given environment, they experience the environment as gradually taking form. Manning maintains that this mode of awareness underlies all perception. What we perceive is never first a subject or an object, but an ecology. From this vantage point, she proposes that we consider an ecological politics where movement and relation take precedence over predefined categories, such as the neurotypical and the neurodiverse, or the human and the nonhuman. What would it mean to embrace an ecological politics of collective individuation?

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Patrick Manning refuses to divide the African diaspora into the experiences of separate regions and nations. Instead, he follows the multiple routes that brought Africans and people of African descent into contact with one another and with Europe, Asia, and the Americas. In weaving these stories together, Manning shows how the waters of the Atlantic Ocean, the Mediterranean Sea, and the Indian Ocean fueled dynamic interactions among black communities and cultures and how these patterns resembled those of a number of connected diasporas concurrently taking shape across the globe. Manning begins in 1400 and traces five central themes: the connections that enabled Africans to mutually identify and hold together as a global community; discourses on race; changes in economic circumstance; the character of family life; and the evolution of popular culture. His approach reveals links among seemingly disparate worlds. In the mid-nineteenth century, for example, slavery came under attack in North America, South America, southern Africa, West Africa, the Ottoman Empire, and India, with former slaves rising to positions of political prominence. Yet at the beginning of the twentieth century, the near-elimination of slavery brought new forms of discrimination that removed almost all blacks from government for half a century. Manning underscores the profound influence that the African diaspora had on world history, demonstrating the inextricable link between black migration and the rise of modernity, especially in regards to the processes of industrialization and urbanization. A remarkably inclusive and far-reaching work, The African Diaspora proves that the advent of modernity cannot be imaginatively or comprehensively engaged without taking the African peoples and the African continent as a whole into account.

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In this wide-ranging and probing book Erin Manning extends her previous inquiries into the politics of movement to the concept of the minor gesture. The minor gesture, although it may pass almost unperceived, transforms the field of relations. More than a chance variation, less than a volition, it requires rethinking common assumptions about human agency and political action. To embrace the minor gesture's power to fashion relations, its capacity to open new modes of experience and manners of expression, is to challenge the ways in which the neurotypical image of the human devalues alternative ways of being moved by and moving through the world—in particular what Manning terms "autistic perception." Drawing on Deleuze and Guattari's schizoanalysis and Whitehead's speculative pragmatism, Manning's far-reaching analyses range from fashion to depression to the writings of autistics, in each case affirming the neurodiversity of the minor and the alternative politics it gestures toward.

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Mary Wigman, Germany’s premier dancer between the two world wars, envisioned the performer in the thrall of ecstatic and demonic forces. Widely hailed as an innovator of dance modernism, she never acknowledged her complex relationship with National Socialism. In Ecstasy and the Demon, Susan Manning advances a sociological explanation for the collaboration between German modern dancers and National Socialism. She models methods for dance studies that contextualize choreography in relation to changing sociopolitical conditions, bringing dance scholarship into conversation with intellectual trends across the humanities.The introduction to this second edition brings Manning’s groundbreaking work to bear on dance studies today and reconsiders Wigman’s career from the perspective of queer theory and globalization, further illuminating the interplay of dance and politics in the twentieth century.Susan Manning is professor of English, theater, and performance studies at Northwestern University.

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What happens if an employer cuts wages by one cent? Much of labor economics is built on the assumption that all the workers will quit immediately. Here, Alan Manning mounts a systematic challenge to the standard model of perfect competition. Monopsony in Motion stands apart by analyzing labor markets from the real-world perspective that employers have significant market (or monopsony) power over their workers. Arguing that this power derives from frictions in the labor market that make it time-consuming and costly for workers to change jobs, Manning re-examines much of labor economics based on this alternative and equally plausible assumption. The book addresses the theoretical implications of monopsony and presents a wealth of empirical evidence. Our understanding of the distribution of wages, unemployment, and human capital can all be improved by recognizing that employers have some monopsony power over their workers. Also considered are policy issues including the minimum wage, equal pay legislation, and caps on working hours. In a monopsonistic labor market, concludes Manning, the "free" market can no longer be sustained as an ideal and labor economists need to be more open-minded in their evaluation of labor market policies. Monopsony in Motion will represent for some a new fundamental text in the advanced study of labor economics, and for others, an invaluable alternative perspective that henceforth must be taken into account in any serious consideration of the subject.

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With the rise of surveillance technology in the last decade, police departments now have an array of sophisticated tools for tracking, monitoring, even predicting crime patterns. In particular crime mapping, a technique used by the police to monitor crime by the neighborhoods in their geographic regions, has become a regular and relied-upon feature of policing. Many claim that these technological developments played a role in the crime drop of the 1990s, and yet no study of these techniques and their relationship to everyday police work has been made available. Noted scholar Peter K. Manning spent six years observing three American police departments and two British constabularies in order to determine what effects these kinds of analytic tools have had on modern police management and practices. While modern technology allows the police to combat crime in sophisticated, detail-oriented ways, Manning discovers that police strategies and tactics have not been altogether transformed as perhaps would be expected. In The Technology of Policing, Manning untangles the varying kinds of complex crime-control rhetoric that underlie much of today’s police department discussion and management, and provides valuable insight into which are the most effective—and which may be harmful—in successfully tracking criminal behavior. The Technology of Policing offers a new understanding of the changing world of police departments and information technology’s significant and undeniable influence on crime management.

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With the rise of surveillance technology in the last decade, police departments now have an array of sophisticated tools for tracking, monitoring, even predicting crime patterns. In particular crime mapping, a technique used by the police to monitor crime by the neighborhoods in their geographic regions, has become a regular and relied-upon feature of policing. Many claim that these technological developments played a role in the crime drop of the 1990s, and yet no study of these techniques and their relationship to everyday police work has been made available. Noted scholar Peter K. Manning spent six years observing three American police departments and two British constabularies in order to determine what effects these kinds of analytic tools have had on modern police management and practices. While modern technology allows the police to combat crime in sophisticated, detail-oriented ways, Manning discovers that police strategies and tactics have not been altogether transformed as perhaps would be expected. In The Technology of Policing, Manning untangles the varying kinds of complex crime-control rhetoric that underlie much of today’s police department discussion and management, and provides valuable insight into which are the most effective—and which may be harmful—in successfully tracking criminal behavior. The Technology of Policing offers a new understanding of the changing world of police departments and information technology’s significant and undeniable influence on crime management.

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An extraordinarily brave and moving memoir from one of the world's most famous whistle-blowers, activists and trans women.In 2013, Chelsea Manning was sentenced to thirty-five years in military prison for the largest leak of classified documents in history. The next day, Chelsea declared her gender identity as a woman and began to transition.In this radically candid memoir, Chelsea recounts how her challenging youth led her to join the US Army. She writes of the fierce pride she took in her work, the risks of the military's queer underground and the wider culture of silence and unaccountability. She describes fifty-nine days locked in an iron cage after her fateful decision and the community of solidarity she later discovered in prison. Above all, we see the phenomenal courage and resilience it took to survive and become a global advocate for transparency.'A terrific read, full of unexpected turns and details that counter many of the assumptions made about Manning' GUARDIAN 'Brilliantly told' THE TIMES'Searing...uplifting...redemptive' NEW YORK TIMES'A full and expansive account of Manning's life, one which is often harrowing but funny and poignant too' DAZED

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The Party Family explores the formation and consolidation of the state in revolutionary China through the crucial role that social ties—specifically family ties—played in the state's capacity to respond to crisis before and after the foundation of the People's Republic of China. Central to these ties, Kimberley Ens Manning finds, were women as both the subjects and leaders of reform. Drawing on interviews with 163 participants in the provinces of Henan and Jiangsu, as well as government documents and elite memoirs, biographies, speeches, and reports, Manning offers a new theoretical lens—attachment politics—to underscore how family and ideology intertwined to create an important building block of state capacity and governance. As The Party Family details, infant mortality in China dropped by more than half within a decade of the PRC's foundation, a policy achievement produced to a large extent through the personal and family ties of the maternalist policy coalition that led the reform movement. However, these achievements were undermined or reversed in the complex policy struggles over the family during Mao's Great Leap Forward (1958–60).

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In this wide-ranging and probing book Erin Manning extends her previous inquiries into the politics of movement to the concept of the minor gesture. The minor gesture, although it may pass almost unperceived, transforms the field of relations. More than a chance variation, less than a volition, it requires rethinking common assumptions about human agency and political action. To embrace the minor gesture's power to fashion relations, its capacity to open new modes of experience and manners of expression, is to challenge the ways in which the neurotypical image of the human devalues alternative ways of being moved by and moving through the world—in particular what Manning terms "autistic perception." Drawing on Deleuze and Guattari's schizoanalysis and Whitehead's speculative pragmatism, Manning's far-reaching analyses range from fashion to depression to the writings of autistics, in each case affirming the neurodiversity of the minor and the alternative politics it gestures toward.

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The Party Family explores the formation and consolidation of the state in revolutionary China through the crucial role that social ties—specifically family ties—played in the state's capacity to respond to crisis before and after the foundation of the People's Republic of China. Central to these ties, Kimberley Ens Manning finds, were women as both the subjects and leaders of reform. Drawing on interviews with 163 participants in the provinces of Henan and Jiangsu, as well as government documents and elite memoirs, biographies, speeches, and reports, Manning offers a new theoretical lens—attachment politics—to underscore how family and ideology intertwined to create an important building block of state capacity and governance. As The Party Family details, infant mortality in China dropped by more than half within a decade of the PRC's foundation, a policy achievement produced to a large extent through the personal and family ties of the maternalist policy coalition that led the reform movement. However, these achievements were undermined or reversed in the complex policy struggles over the family during Mao's Great Leap Forward (1958–60).

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At the New School for Social Research in 1931, the dance critic for the New York Times announced the arrival of modern dance, touting the “serious art” of such dancers as Mary Wigman, Martha Graham, and Doris Humphrey. Across town, Hemsley Winfield and Edna Guy were staging what they called “The First Negro Dance Recital in America,” which Dance Magazine proclaimed “the beginnings of great and important choreographic creations.” Yet never have the two parallel traditions converged in the annals of American dance in the twentieth century.Modern Dance, Negro Dance is the first book to bring together these two vibrant strains of American dance in the modern era. Susan Manning traces the paths of modern dance and Negro dance from their beginnings in the Depression to their ultimate transformations in the postwar years, from Helen Tamiris’s and Ted Shawn’s suites of Negro Spirituals to concerts sponsored by the Workers Dance League, from Graham’s American Document to the debuts of Katherine Dunham and Pearl Primus, from José Limón’s 1954 work The Traitor to Merce Cunningham’s 1958 dances Summerspace and Antic Meet, to Ailey’s 1960 masterpiece Revelations.Through photographs and reviews, documentary film and oral history, Manning intricately and inextricably links the two historically divided traditions. The result is a unique view of American dance history across the divisions of black and white, radical and liberal, gay and straight, performer and spectator, and into the multiple, interdependent meanings of bodies in motion. Susan Manning is associate professor of English, theater, and performance studies at Northwestern University. She is the author of Ecstasy and the Demon: Feminism and Nationalism in the Dances of Mary Wigman, winner of the 1994 de la Torre Bueno Prize for the year’s most important contribution to dance studies.

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Featuring over 80 meatless mealtime options, Weeknight Vegetarian is a roadmap to quick, easy, and healthy vegetarian dinner ideas for all seasons. With a foundation of fresh produce, whole grains, vegetable-based protein, and healthy fats, author Ivy Manning transforms natural ingredients into tempting and accessible dishes that will have you eating well every night. Organized by season, chapters open with advice about the fresh ingredients and cooking methods best suited to the time of year. Clever tips throughout offer enticing ways to round out meatless meals, customize recipes to personal tastes, plan menus, and turn leftovers into new suppers later in the week.

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A friendly and inspiring introduction to art history, telling the stories of the world's greatest paintings and artists from prehistory to the modern dayThe Story of Paintings begins with the cave paintings of our Stone Age ancestors and continues through to the modern day. Mick Manning and Brita Granström take your on a tour of their personally selected gallery which showcases the work of some of the world's most famous artists and few a less well-known ones. The artists featured include van Eyck, da Vinci, Bruegel, Rembrandt, Velázquez, JMW Turner, Van Gogh, Monet, Matisse, Georgia O'Keefe, Picasso, Frida Kahlo and Jackson Pollock as well as Dame Laura Knight and Kalan Khan. The friendly text and illustrations help children to appreciate the art, highlighting interesting biographical details and picking out key details to spot. The book's large format means the art is reproduced on a wonderfully impactful scale. This really is a book to give and treasure. The creative team of Mick Manning and Brita Granström are well-known for their ground breaking children's information books. Their many awards range the TES Information Book Award for What's Under the Bed? and the English Association Non-fiction award for Charlie's War Illustrated.

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