Search results for ""Author Manny"

.NET MAUI in Action shows you how to use the cutting-edge MAUI framework to write apps that will run on Windows, Android, macOS and iOS platforms using your existing .NET development skills. This book reveals essential MAUI development techniques through hands-on example applications in every chapter. You will learn cross-platform development quickly as you start building your own rich apps. Ideal for experienced developers, this book will help you Set up your environment for cross-platform development Write an interactive UI in XAML using out-of-the-box controls Apply the MVVM pattern to build maintainable code Extend your control library with custom controls Structure your app using common navigation paradigms Build fully custom-drawn controls with the MAUI Graphics Library Use common device features like GPS Use DevOps tools to automate deployment and testing About the technology .NET MAUI is a new .NET workload for building apps that run on iOS, MacOS, Android, and Windows. It is a simple, easy-to-use evolution of Xamarin.Forms that allows you to share the same code across cloud, web, desktop, and mobile. Best of all, you get access to the entire ecosystem of .NET tools. You can keep using your favourite stack to develop amazing UIs and share code with other components of your solution.

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Now in its third edition, this bestselling guide to TypeScript takes you through the nuts and bolts of the language. No frills, no fuss—just TypeScript essentials! TypeScript enhances JavaScript with static typing, while keeping all the JS flexibility you know and love! It's the perfect choice for any developer looking to improve the predictability and reliability of their code. Essential TypeScript 5, Third Edition teaches you how to get the most out of TypeScript 5 for a consistent, dependable development experience. Inside Essential TypeScript 5, Third Edition you'll learn how to: Configure the TypeScript development tools Use type annotations Create strongly typed functions and classes Use generic types Use type guards to determine types Create and consume type declaration files Use TypeScript to create web applications with Angular and React About the technology TypeScript is a popular superset of JavaScript that adds support for static typing. TypeScript's typing features, which will be instantly familiar to C# or Java programmers, help you reduce errors and improve the overall quality of your JavaScript code.

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Effectively reading and understanding existing code is a developer's superpower. In this book, you'll master techniques for code profiling, advanced debugging, and log evaluation to find and fix bugs and performance problems. In How To Read Java: Understanding, debugging, and optimizing JVM applications you will learn how to: Determine what code does the first time you see it Expose code logic problems Evaluate heap dumps to find memory leaks Monitor CPU consumption to optimize execution Use thread dumps to find and solve deadlocks Easily follow a service-oriented or microservices system Properly use logging to better understand Java app execution Use Java debuggers efficiently How To Read Java: Understanding, debugging, and optimizing JVM applications teaches code investigation techniques that will help you understand how Java apps work, optimize them, and fix the bugs that break them. You'll go from the basics of debugging to advanced methods for locating problems in microservices architectures. Each new technique is explained with lively illustrations and engaging real-world examples. about the technology Tasks like searching for bugs, working through messy legacy code, and analyzing an application's readiness to support new features consume a lot of developer time. In fact, most developers spend more time trying to read and understand code than they do writing it! In this unique guide, you'll learn techniques like resolving deadlocks by examining thread dumps and locating memory leaks by inspecting the heap that will radically improve your efficiency when working with existing code in JVM languages like Java, Scala, and Kotlin.

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Take the fast track in your journey to continuous delivery, with open source tools for Kubernetes and cloud applications. This book explores the tools and techniques you'll need to overcome common cloud native challenges. In Continuous Delivery for Kubernetes you will learn how to: Select the right open source project to solve challenges with your Kubernetes application Package, version, distribute and instant cloud native services using Helm Create and run pipelines using Tekton Plan and implement a multicloud strategy with Crossplane Implement risk-free and progressive upgrades with Knative Utilize Knative for serving, routing, and event-driven applications Automate testing, even when you don't have all your services up and running Troubleshoot and measure application performance Continuous Delivery for Kubernetes lays out a toolbox of free, open source projects you can use to implement continuous delivery for Kubernetes-based applications in the cloud. Each chapter covers a different project, clearly demonstrating how it simplifies essential CD tasks like packaging, building pipelines, and multi-cloud deployment. This book shows developers and architects confidently identify common patterns in successful open source tools so they can pick the right options for their own platforms. about the technology Continuous delivery practices help your team quickly introduce, iterate on, and deploy new features so you can get software into production quickly. The tools in this book help facilitate continuous delivery practices by solving the technical and architectural challenges commonly found when adopting Kubernetes, automating essential dev and deployment tasks, and improving your team's collaboration. about the book Continuous Delivery for Kubernetes accelerates development of cloud-based systems with vibrant open source tools of the Kubernetes ecosystem. You'll use powerful open source projects like Helm, Tekton, Knative, and Crossplane to automate your projects from testing through delivery. Learn how to package services, build and deploy services to a Kubernetes cluster, and combine different tools to solve the complex challenges of CD in a cloud native environment. RETAIL SELLING POINTS Select the right open source project to solve challenges with your Kubernetes application Package, version, distribute and instant cloud native services using Helm Utilize Knative for serving, routing, and event-driven applications Automate testing, even when you don't have all your services up and running Troubleshoot and measure application performance AUDIENCE For developers and software architects familiar with the basics of containers and Kubernetes.

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PrivacyEngineering is a hands-on guide to building a modern and flexible privacy program for your organization. It helps map essential legal requirements into practical engineering techniques that you can implement right away. The book develops your strategic understanding of data governance and helps you navigate the tricky trade-offs between privacy and business needs. You'll learn to spot risks in your own data management systems and prepare to satisfy both internal and external privacy audits. There's no bureaucratic new processes or expensive new software necessary. You'll learn how to repurpose the data and security tools you already use to achieve your privacy goals. Preserving the privacy of your users is essential for any successful business. Well-designed processes and data governance ensure that privacy is built into your systems from the ground up, keeping your users safe and helping your organization maintain compliance with the law.

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Rust Servers, Services, and Apps is a hands-on guide to developing modern distributed web applications with Rust. You'll learn how to build efficient services, write custom web servers, and even build full stack applications end-to-end in Rust. You'll start with the foundations, using Rust to build an HTTP server, and RESTful API that you'll secure, debug, and evolve with fearless refactoring. You'll then put Rust through its paces to develop a digital storefront service, and a single-page client-side application. This fastpaced book is packed with code samples you can adapt to your own projects, and detailed annotations to help you understand how Rust works under the hood. About the technologyThe blazingly fast, safe, and efficient Rust language has been voted “most loved” for five consecutive years on the StackOverflow survey. It's easy to see why. Rust combines all the features of a modern language with the low-latency power of C. Its efficiency will slash your runtime footprint—and your cloud hosting bills—and its flexibility lets you write network programs and high-level applications with equal ease.

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Essential Infrastructure as Code teaches patterns for scaling systems and supporting infrastructure for mission-critical applications. The book is fullof flexible automation techniques and universal principles that are easy toapply to almost any use case, from data centers, to public cloud, to software-as-a-Service. The book is full of techniques that work whether you're managing your personal projects or making live network changes across a large enterprise. Infrastructure as Code (IaC) replaces time-consuming manual provisioning and configuration with automation via configuration managers or provisioning tools like Hashicorp Terraform. Managing your infrastructure as code makes it easy to test changes and implement new features, scale systems without downtime or operational toil, and rapidly roll back mistakes.

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AI models can become so complex that even experts have difficulty understanding them—and forget about explaining the nuances of a cluster of novel algorithms to a business stakeholder! InterpretableAI is filled with cutting-edge techniques that will improve your understanding of how your AI models function. InterpretableAI is a hands-on guide to interpretability techniques that open up the black box of AI. This practical guide simplifies cutting edge research into transparent and explainable AI, delivering practical methods you can easily implement with Python and opensource libraries. With examples from all major machine learning approaches, this book demonstrates why some approaches to AI are so opaque, teaches you toidentify the patterns your model has learned, and presents best practices for building fair and unbiased models. How deep learning models produce their results is often a complete mystery, even to their creators. These AI"black boxes" can hide unknown issues—including data leakage, the replication of human bias, and difficulties complying with legal requirements such as the EU's "right to explanation." State-of-the-art interpretability techniques have been developed to understand even the most complex deep learning models, allowing humans to follow an AI's methods and to better detect when it has made a mistake.

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Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.

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Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader’s analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course.

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Description Phoenix is a modern web framework built for the Elixir programming language. Elegant, fault-tolerant, and performant, Phoenix is as easy to use as Rails and as rock-solid as Elixir’s Erlang-based foundation. Phoenix in Action builds on your existing web dev skills, teaching you the unique benefits of Phoenix along with just enough Elixir to get the job done. Phoenix in Action is an example-based tutorial that teaches you how to use the Phoenix framework to build production-quality web apps. Following a running example of an online auction site, you’ll design and build everything from the core components that drive the app to the real-time user interactions where Phoenix really shines. You’ll handle business logic, database interactions, and app designs that take advantage of functional programming as you discover a better way to develop web applications. Key features · Use channels for real-time communication · Learn database interactions with Ecto · Hands-on examples · Step-by-step instructions · Jargon-free Audience Written for web developers familiar with a framework like Rails or ASP.NET. No experience of Elixir or Phoenix required. About the technology Phoenix is a web framework for the Elixir language. Phoenix applications are blazingly fast, and as a developer you’ll appreciate the attention to detail in the framework design that makes you superproductive almost immediately. In particular, Phoenix channels provide an easy way to set up and manage real-time communication.

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Description The Linux operating system powers millions of web servers, data centers, and application platforms worldwide. Whether you're pushing applications to a cloud system like AWS, building a twitter bot on a Raspberry Pi, or rescuing files from a crashed laptop, Linux is required knowledge. Linux in Action is a task-based tutorial that will give readers the skills and deep understanding they'll need to administer a Linux-based system. Key features · Hands-on guide · Step-by-step examples · Task-based Audience Readers should be comfortable working with the files, networks, and basic resources of a modern operating system. About the technology Linux makes it possible to do all kinds of really useful and creative things. For instance, you can load a Linux "live boot" image on a USB stick, boot a PC whose own hard disk has been corrupted, and troubleshoot and fix the problem.

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Description ASP.NET Core is a re-imagining of the .NET Framework that frees developers from Visual Studio and Windows. ASP.NET Core in Action is for C# developers without any web development experience who want to get started and productive using ASP.NET Core to build web applications. Key features · Hands-on lessons · Step-by-step guide · Real-world examples Audience Readers should have experience with C#. No web development experience needed. About the technology ASP.NET Core was motivated by the desire to create a web framework with four main goals: 1. To be run and developed cross-platform 2. To have a modular architecture for easier maintenance 3. To be developed completely as open-source software. 4. To be applicable to current trends in web development, such as client-side applications and deploying to cloud environments.

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React is a JavaScript library developed for one main reason—to build reusable UI components that present ever-changing data. The React philosophy is to focus solely on the user interface. In model-viewcontroller (MVC) terminology, React is the view. Because it has to work with models and other libraries, it’s designed to play nicely with pretty much any other framework, router, style, and model library. And it's well supported—React emerged from Instagram and is now used by Facebook, Asana, Khan Academy, and Atom among many more. React Quickly is for anyone who wants to learn React.js fast. This handson book teaches needed concepts by using lots of examples, tutorials, and a large main project that gets built throughout. It starts with the basics, including how React fits into applications, JSX, and handling states, and events. Next, it explores core topics like components, forms, and data. Finally, the book dives into React integration topics, like unit testing and isomorphic JavaScript with Express.js, and Gulp. Key Features: · Uses videos to supplement learning · Chock full of examples · Gets readers using React quickly This book is for web developers who have some JavaScript experience. About the Technology: React is a JavaScript library developed for one main reason—to build reusable UI components that present ever-changing data. React emerged from Instagram and is now used by Facebook, Asana, Khan Academy, and Atom among many more.

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Stop dangerous threats and secure your vulnerabilities without slowing down delivery. This practical book is a one-stop guide to implementing a robust application security program.Application Security Program Handbook teaches you to implement a robust program of security throughout your development process. It goes well beyond the basics, detailing a flexible approach that can adapt and evolve to new and emerging threats. Follow the expert advice in this guide and you'll reliably deliver software that is free from security defects and critical vulnerabilities. As a developer, you must build security into your software throughout its development lifecycle. This book addresses all the practices, tools, technology, people, and processes you need to reduce the risk of attacks and vulnerabilities in your software. Application Security Program Handbook is full of strategies for setting up and maturing a security program for your development process. Its realistic recommendations take a service-oriented approach to application security that's perfectly suited to the fast-pace of modern development. Focused on the realities of software development, it shows you how to avoid making security a gated exercise.Inside, you'll learn to assess the current state of your app's security, identify key risks to your organization, and measure the success of any defensive programs you deploy. You'll master common methodologies and practices that help safeguard your software, along with defensive tools you can use to keep your apps safe. With this handy reference guide by your side, you'll be able to implement reliable security in a way that doesn't impact your delivery speed. RETAIL SELLING POINTS Application security tools you can use throughout the development lifecycle Creating threat models Mitigating web app vulnerabilities Creating a DevSecOps pipeline Application security as a service model Reporting structures that highlight the value of application security Creating a software security ecosystem that benefits development AUDIENCE For software developers, architects, team leaders, and project managers looking to implement security in their pipelines.

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Learn the big skills of C programming by creating bite-size projects! Work your way through these 21 fun and interesting tiny challenges to master essential C techniques you'll use in full-size applications. In Tiny C Projectsyou will learn how to: Create libraries of functions for handy use and re-use Process input through an I/O filter to generate customized output Use recursion to explore a directory tree and find duplicate files Develop AI for playing simple games Explore programming capabilities beyond the standard C library functions Evaluate and grow the potential of your programs Improve code to better serve users Tiny C Projectsis an engaging collection of 21 small programming challenges! Hone and develop your C abilities with lighthearted games like Hunt the Wumpus and tic-tac-toe, utilities like a useful calendar and a mini-editor app, and thought-provoking exercises like encoding and cyphers. Every project encourages you to evolve your code, add new functions, and explore the full capabilities of C. About the technology C is a mature and secure language that's perfect for everything from low-level systems programming to high performance embedded applications. The 21 fun projects in this guide demonstrate the range of C's capabilities and give you hands-on experience with this powerful and flexible language. About the book Tiny C Projects builds and hones your C programming skills with interesting and exciting challenges. You'll expand your C programming portfolio by creating useful utility programs, fun games, password generators, directory utilities, and more. Each program you create starts out simple and then deepens as you explore approaches and alternatives you can use to achieve your goals. Once you'e done, you'll find it easy to scale up the skills you've learned from tiny projects into real applications. RETAIL SELLING POINTS Create libraries of functions for handy use and re-use Process input through an I/O filter to generate customized output Use recursion to explore a directory tree and find duplicate files Develop AI for playing simple games Explore programming capabilities beyond the standard C library functions Evaluate and grow the potential of your programs Improve code to better serve users AUDIENCE For C programmers of all skill levels who want to hone their skills with the language

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Apply advanced techniques for optimising machine learning processes For machine learning practitioners confident in maths and statistics. Bayesian Optimization in Action shows you how to optimise hyperparameter tuning, A/B testing, and other aspects of the machine learning process, by applying cutting-edge Bayesian techniques. Using clear language, Bayesian Optimization helps pinpoint the best configuration for your machine-learning models with speed and accuracy. With a range of illustrations, and concrete examples, this book proves that Bayesian Optimisation doesn't have to be difficult! Key features include: Train Gaussian processes on both sparse and large data sets Combine Gaussian processes with deep neural networks to make them flexible and expressive Find the most successful strategies for hyperparameter tuning Navigate a search space and identify high-performing regions Apply Bayesian Optimisation to practical use cases such as cost-constrained, multi-objective, and preference optimisation Use PyTorch, GPyTorch, and BoTorch to implement Bayesian optimisation You will get in-depth insights into how Bayesian optimisation works and learn how to implement it with cutting-edge Python libraries. The book's easy-to-reuse code samples will let you hit the ground running by plugging them straight into your own projects! About the technology Experimenting in science and engineering can be costly and time-consuming, especially without a reliable way to narrow down your choices. Bayesian Optimisation helps you identify optimal configurations to pursue in a search space. It uses a Gaussian process and machine learning techniques to model an objective function and quantify the uncertainty of predictions. Whether you're tuning machine learning models, recommending products to customers, or engaging in research, Bayesian Optimisation can help you make better decisions faster.

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Create your first 2D, 3D, and AR/VR games with the awesome Unity game platform. With this hands-on beginner's guide, you'll start building games fast! In Unity in Action, Third Edition, you will learn how to: Create characters that run, jump, and bump into things Build 3D first-person shooters and third-person action games Construct 2D card games and side-scrolling platformers Script enemies with AI Improve game graphics by importing models and images Design an intuitive user interface for your games Play music and spatially-aware sound effects Connect your games to the internet for online play Deploy your games to desktop, mobile, and the web Thousands of new game developers have chosen Joe Hocking's Unity in Action as their first step toward Unity mastery. This fully updated third edition comes packed with fully refreshed graphics, Unity's latest features, and coverage of the augmented and virtual reality toolkits. Using your existing coding skills, you'll write custom code instead of just clicking together premade scripts. You'll master the Unity toolset from the ground up, adding the skills you need to go from application coder to game developer. Build your next game without sweating the low-level details. The Unity game engine handles the heavy lifting, so you can focus on game play, graphics, and user experience. With support for C#, a huge ecosystem of production-quality prebuilt assets, and a strong dev community, Unity will get your game idea off the drawing board and onto the screen! You can even use Unity for more than game development, with new tools for VR and augmented reality that are perfect for developing useful apps.

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Use Akka to solve the big problems of distributed systems—from multithreading and concurrency, to handling scalability and failure. In Akka in Action, Second Edition you will learn how to: Create basic programs with Akka Work with clusters to build robust, fault tolerant programs Create and maintain distributed state with strong consistency guarantees Build microservices with Akka Utilize concurrency and parallelism Test Akka software Akka in Action, Second Edition teaches you to use the latest version of Akka to solve common problems of distributed systems. Akka contributor Francisco López-Sancho demonstrates Akka's complex concepts through real-world use cases, including clustering, sharding, persistence, and deploying to Kubernetes. Discover the power of the Actor model, and how to leverage most of the Akka modules to create microservices that are reliable and fault tolerant. about the technology Akka is a toolkit of libraries that make it easy to implement distributed applications in Scala and Java. Akka's Actor model avoids many of the complexities of multithreading, while making systems elastic and resilient, and provides strong consistency. about the book Akka in Action, Second Edition is a practical guide to building message-oriented systems with Akka. Extensively revised by Akka contributor and consultant Francisco López-Sancho, this upgraded second edition comes with new coverage of Akka typed, microservices architecture, and more. You'll learn how to build with Akka actors and why they're the perfect solution for distributed systems. Driven by practical examples, this book is the perfect guide to creating elastic, resilient, and reactive software with Akka.

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Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

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By adopting the micro frontends approach and designing your web apps as systems of features, you can deliver faster feature development, easier upgrades, and pick and choose the technology you use in your stack. Micro Frontends in Action is your guide to simplifying unwieldy frontends by composing them from small, well-defined units. You’ll learn to integrate web applications made up of smaller fragments using tools such as web components or server side includes, how to solve the organizational challenges of micro frontends, and how to create a design system that ensures an end user gets a consistent look and feel for your application. Key Features · Applying integration strategies with iframes, AJAX, server-side includes, web components and the app-shell approach · Optimizing for performance and asset delivery strategies · Designing coherent user interfaces · Migrating to a micro frontends architecture For intermediate web developers, team leaders, and software architects. About the technology The micro frontends approach extends the principles of microservices to frontend development. The application is divided into multiple independent vertical slices–from the database right up to the UI–then integrated using standards such as web components into a single user-facing frontend. Thanks to the smaller scope of a micro frontend, teams can deliver features faster, upgrade more easily, and make their own choices about their technology stack. Michael Geers is a software developer specializing in building user interfaces. He has written software for the web since he was a teenager. In the last few years, he has worked on various customer projects with verticalized architectures. He shares his experiences on this topic at international conferences, in a series of magazine articles, and website.

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Elm is more than just a cutting-edge programming language, it's a chance to upgrade the way you think about building web applications. Once you get comfortable with Elm's refreshingly different approach to application development, you'll be working with a clean syntax, dependable libraries, and a delightful compiler that essentially eliminates runtime exceptions. Elm compiles to JavaScript, so your code runs in any browser, and Elm's best-in-class rendering speed will knock your socks off. Let's get started! Elm in Action teaches you how to build well-designed, highly performant web applications using the Elm language. As you read, you'll follow an application called Photo Groove that will show you how to structure your application's domain and behaviour, how to maintain a pleasantly modular architecture, and how to deliver a quality product using the Elm language. Along the way, you'll learn how to interact smoothly with browser functionality, servers, and JavaScript libraries, as well and picking up a few tricks for building fluid, intuitive user experiences. If you're new to functional programming, you'll also gain a practical understanding of techniques that will make you a better developer no matter what you're writing! Written for readers comfortable with web application development in JavaScript. No experience with Elm or functional programming required. Key Features Getting started with the Elm language Scalable design for production web applications Single-page applications in Elm Testing your applications Richard Feldman is a programmer and entrepreneur who loves to push the limits of browser-based programming. He's a front-end engineer at NoRedInk and a well-known member of the Elm community

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Learn more about stories, examples, and ground-breaking research in this book to help you unleash your creative potential as aprogrammer! For programmers of all experience and skill levels. In The Creative Programmer you will learn the processes and habits of successful creative individuals and discover how you can build creativity into your programming practice. This fascinating new book introduces the seven domains of creative problem solving and teaches practical techniques that apply those principles to software development. You will learn insights into creativity like: The seven dimensions of creativity in software engineering The scientific understanding of creativity and how it translates to programming Actionable advice and thinking exercises that will make you a better programmer Innovative communication skills for working more efficiently on a team Creative problem-solving techniques for tackling complex challenges Hand-drawn illustrations, reflective thought experiments, and brain-tickling example problems will help you get your creative juices flowing. You will soon be thinking up new and novel ways to tackle the big challenges of your projects. About the technology In software development, creative problem solving can be just as important as technical knowledge. A splash of creativity helps you break the conventional approaches that just aren't working. And just like technical skills, creativity can be learned and improved by practice. This innovative guide draws on the latest cognitive psychology research to reveal practical methods that will make you a more creative programmer.

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Kubernetes is an essential tool for anyone deploying and managing cloud-native applications. It lays out a complete introduction to container technologies and containerized applications along with practical tips for efficient deployment and operation. This revised edition of the bestselling Kubernetes in Action contains new coverage of the Kubernetes architecture, including the Kubernetes API, and a deep dive into managing a Kubernetes cluster in production. In Kubernetes in Action, Second Edition, you'll start with an overview of how Docker containers work with Kubernetes and move quickly to building your first cluster. You'll gradually expand your initial application, adding features and deepening your knowledge of Kubernetes architecture and operation. As you navigate this comprehensive guide, you'll also appreciate thorough coverage of high-value topics like monitoring, tuning, and scaling Kubernetes in Action, Second Edition teaches you to use Kubernetes to deploy container-based distributed applications. You'll start with an overview of how Docker containers work with Kubernetes and move quickly to building your first cluster. You'll gradually expand your initial application, adding features and deepening your knowledge of Kubernetes architecture and operation. In this revised and expanded second edition, you'll take a deep dive into the structure of a Kubernetes-based application and discover how to manage a Kubernetes cluster in production. As you navigate this comprehensive guide, you'll also appreciate thorough coverage of high-value topics like monitoring, tuning, and scaling.

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Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You will adopt software development standards that deliver better code management, and make it easier to test, scale, and even reuse your machine learning code! You will learn how to plan and scope your project, manage cross-team logistics that avoid fatal communication failures, and design your code's architecture for improved resilience. You will even discover when not to use machine learning—and the alternative approaches that might be cheaper and more effective. When you're done working through this toolbox guide, you will be able to reliably deliver cost-effective solutions for organizations big and small alike. Following established processes and methodology maximizes the likelihood that your machine learning projects will survive and succeed for the long haul. By adopting standard, reproducible practices, your projects will be maintainable over time and easy for new team members to understand and adapt.

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Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don’t have the flexibility to make sweeping changes in organizational structure. Focused on process improvements you can make from the bottom up, everything in Operations Anti-Patterns, DevOps Solutions is actionable for your team—from constructing a streamlined workflow system to developing dashboards and operational metrics to measure the right aspects of performance. To better understand the behavior of both individuals and organizations, you’ll also learn the psychological reasoning behind why DevOps techniques are effective. Key Features · Creating a post-mortem framework to analyze projects and incidents · Monitoring and managing team time · Building cultural touchstones that assist with team building · Automating change management · Techniques for adopting automation to power your workflows For team leaders and managers. About the technology By emphasising shared responsibility for delivering software, DevOps transforms the way technology departments work. Looking beyond tool choice and design philosophy, DevOps demands a change in an organization’s attitude and approach. Jeff Smith has been in the technology industry for over 15 years, both as management and individual contributor. He has managed DevOps transformations at Centro, an ad-tech firm, and Grubhub, an online ordering platform.

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Terraform is a provisioning tool for building, changing, and combining cloud infrastructure safely and efficiently. By defining infrastructure as code, Terraform empowers its users to deploy their entire stack to the cloud at the touch of a button. • Cloud architecture with Terraform • Sharing Terraform modules and the private module registry • Running Terraform securely in a multitenant environment • Strategies for performing Blue/Green deployments with Terraform By treating your infrastructure as a codeable application, you can instantaneously create and launch new components and respond efficiently to changes in demand and other use requirements. Terraform in Action introduces the Infrastructure-as-Code model using the amazing Terraform automation tool, teaching readers how to design and manage servers that can be provisioned, shared, changed, tested, and deployed at the touch of a button. Readers will unlock the full potential of Terraform to manage your infrastructure as easily as they manage their codebase. Written for readers experienced with major cloud platforms such as AWS or Google Cloud. Examples are in the Go language.

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To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Key Features · 2D and 3D vector math · Matrices and linear transformations · Core concepts from linear algebra · Calculus with one or more variables · Algorithms for regression, classification, and clustering · Interesting real-world examples Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required. About the technology Most businesses realize they need to apply data science and effective machine learning to gain and maintain a competitive edge. To build these applications, they need developers comfortable writing code and using tools steeped in statistics, linear algebra, and calculus. Math also plays an integral role in other modern applications like game development, computer graphics and animation, image and signal processing, pricing engines, and stock market analysis. Paul Orland is CEO of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. As founding CTO, he led the engineering team to productize hybrid machine learning and physics models, distributed optimization algorithms, and custom web-based data visualizations. He has a B.S. in mathematics from Yale University and a M.S. in physics from the University of Washington.

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DESCRIPTION Git has emerged as the source code control system preferred by distributed development teams. Its unique decentralized architecture and lightning-fast branching allow users to concentrate on code instead of tedious admin tasks. While Git can appear to be a diverse and sprawling beast, there are a few essential concepts and techniques required to get the most out of it. This book helps build the skills needed to use Git effectively in day-to-day dev tasks. Learn Git in a Month of Lunches introduces the discipline of source code control using Git. Whether a newbie or a busy pro moving source control to Git, readers will appreciate how this book concentrates on the components of Git that are used every day. In easy-to-follow lessons designed to take an hour or less, readers can dig into Git's distributed collaboration model, along with core concepts like committing, branching, and merging. Instead of a shallow introduction to Git's massive surface area, they’ll find a road map to the commands and processes needed to be instantly productive. KEY SELLING POINTS Starts from square one—no experience required Provides a road map to essential commands and processes Easy-to-follow lessons taking an hour or less to complete AUDIENCE This book is aimed at computer professionals of all levels—both beginners of source code control and newcomers to the Git version control system ABOUT THE TECHNOLOGY Git is the extremely popular version control system that has taken the open source community by storm. It’s designed for speed and efficiency and many open source projects have switched to using Git—the popularity of GitHub and its "social coding" cannot be denied.

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Code for most web sites mostly runs on the server. When a user clicks on a link, the site reacts slowly because the browser sends information to the server and the server sends it back again before displaying the results. With near universal availability of capable browsers and powerful hardware, the single page web application (SPA) pushes most of the code to the browser, giving users immediate results, whether they’re surfing at their desk or using a phone app. Single Page Web Applications shows how to build modern browser-based apps that take advantage of stronger client platforms and more-predictable bandwidth. It covers the SPA design approach and explores new techniques like structured JavaScript and responsive design. Readers will learn to capitalize on trends like server-side JavaScript and NoSQL data stores, as well as new frameworks that make JavaScript more manageable and testable as a first-class language. AUDIENCE This book is for web developers, architects, and product managers who know about JavaScript, HTML, CSS, and web development basics. ABOUT THE TECHNOLOGY A Single Page Application (SPA) is an application delivered to the browser that does not reload the page during use.

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RETAIL SELLING POINTS A step-by-step guide to unit testing Easily create readable, maintainable, trustworthy tests Great for both novice and experienced unit testers AUDIENCE This book is written for .NET Developers and anyone else who wants to learn unit testing.

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CSS lets programmers precisely specify the visual design of a web page or web app, from the structural layout of elements on the page to their individual look and feel. CSS in Depth takes web developers from beginner to advanced. In this book, they will revisit concepts that they are likely familiar with but have not completely mastered. Key Features: · Teaches the cascade, floats, and positioning · Example-rich · Covers both beginner and advanced topics This book is for both experienced and new web developers who want to deepen their knowledge of CSS. It assumes you have some basic experience with HTML, CSS, and the web. Some familiarity with JavaScript or other C-like programming language may be beneficial, but not required. About the Technology: CSS, short for “Cascading Style Sheets”, is one of the foundational technologies that drives the Internet. It specifies the visual design of a web page or web app, from the structural layout of elements on the page to their individual look and feel.

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React is a highly-performant tool that implements a one-way data flow model. Reasoning about an interface or application written with React ends up being much easier because it decreases overall complexity for developers working with it. React in Action introduces front-end developers to the React framework and related tools. Readers will work their way from “raw” React towards JSX, and from basic static components to ones that are dynamic and interactive. Key Features: · Clearly written · Example-rich · Hands-on Written for developers familiar with HTML, CSS, and JavaScript who want to create more robust front-end applications. About the Technology: React is an open source JavaScript framework that lets developers quickly create user interfaces for web applications.

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iBATIS in Action shows Java developers how to tackle the problem of data persistence using the elegant iBATIS framework. iBATIS helps developers solve the problem of connecting—or mapping—relational databases to object-oriented code. An extensive running example presents reusable iBATIS patterns and common solutions. The sample application shows where iBATIS fits in a typical web application as well as how iBATIS integrates with other popular frameworks like Struts. iBATIS in Action focuses on solving existing problems without introducing new ones. In addition to showing what iBATIS does, iBATIS in Action also shows how iBATIS solves problems. Readers explore the driving design philosophy behind iBATIS as presented by iBATIS creator Clinton Begin.

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Easy-to-follow guide Real-world examples Complete coverage of HTML5 HTML5 is one of the hottest topics in the Web development community and itզs unlikely to change any time soon. Developers are keen on using a cross-platform method of development, and HTML5 fits the bill perfectly. Along with supporting technologies like CSS3, SVG, and JavaScript, it gives web developers powerful new features like local storage, better audio and video support, and standards-driven mobile application development. HTML5 in Action is a practical hands-on guide that provides a complete introduction to web development using HTML5. It provides thorough coverage of the various new features included in HTML5, from web forms and offline applications to 2D Canvas. The easy-to-follow examples ensure that readers can start using these features in their own applications on day one.

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In the future, there are going to be millions of jobs with no one to fill them if more kids don't learn how to code. So why aren't more kids learning to program? Some think it's too hard, and others don't have parents who can help them because they don't know programming themselves. Learning to code with a tool like Scratch, an open source programming platform maintained by MIT, and having fun goals, like writing games, just might make a difference. That's where this book comes in. Hello, Scratch! is a how-to book that helps parents and kids work together to learn programming skills by creating new versions of old retro-style arcade games with Scratch. By building games, readers not only create fun finished products, but they'll learn important programming skills along the way. By the time readers are done, they'll be able to create their own games and understand the basics of computer programming and game design. Key Features: · Introduction to Scratch · Easy to follow examples · Step-by-step guide This book is for kids and their parents who want to learn to program while creating games. No programming experience needed! About the Technology: Scratch is a drag-and-drop programming language created by the college Massachusetts Institute of Technology (MIT). What can you make with Scratch? The short answer is anything.

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DESCRIPTION The Oculus Rift is an exciting next generation VR headset developed by OculusVR. Whether it's in a game, an architectural walk-through, or a teaching simulation, the goal of any immersive virtual reality experience is to make users feel like they're in the middle of the action. With precise, high-quality optics and a flexible programmatic interface, the Rift provides real-life field of view and head tracking hardware for natural interaction that finally nails the feeling of being there. Oculus Rift in Action introduces the powerful Oculus Rift headset and shows how to integrate its many features into 3D games and other virtual reality experiences. First, it discusses the capabilities of the Rift hardware. Then, it provides interesting and instantly-relevant examples that walk readers through programming real applications using the Oculus SDK. Along the way, the book offers practical guidance on using the Rift's sensors to produce a natural, fluid, immersive 3D experience; readers will be ready to hit the ground running with the first VR killer app when the consumer Rift is released! RETAIL SELLING POINTS An in depth guide for creating immersive VR experiences Shows the right way to create compelling VR applications Plenty of useful examples with detailed instructions AUDIENCE Readers can use this book even if they don't yet own the Oculus Rift hardware. Some experience with C++ or another OO language is required for the programming examples. No previous knowledge of optics, display, or motion tracking is expected. ABOUT THE TECHNOLOGY The Oculus Rift is a VR headset with a field comparable to what you'd get if you surrounded yourself with an array of a dozen monitors. Combined with the wide field of view, it includes head-tracking hardware so that when you turn your head, the view automatically changes, creating a feeling of 'really being there'.

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Master Java persistence using the industry-leading tools Spring Data and Hibernate. In Java Persistence with Spring Data and Hibernate you will learn: Mapping persistent classes, value types, and inheritance Mapping collections and entity associations Processing transactions with Spring Data and Hibernate Creating fetch plans, strategies, and profiles Filtering data Building Spring Data REST projects Using Java persistence with non-relational databases Querying JPA with QueryDSL Testing Java persistence applications Java Persistence with Spring Data and Hibernate teaches you the ins-and-outs of Java persistence with hands-on examples using Spring Data, JPA and Hibernate. The book carefully analyzes the capabilities of the major Java persistence tools, and guides you through the most common use cases. You'll learn how to make and utilize mapping strategies, and efficiently test Java persistence applications. The practical techniques are demonstrated with both relational and non-relational databases. about the technology Persistence enables an application's data to exist for the long term, even after a program is stopped or terminated. Whether you're saving state from session to session or maintaining long-term records, Java persistence tools like Spring Data, JPA, and Hibernate help deliver the object relational mapping that connects code's objects with your database. about the book Java Persistence with Spring Data and Hibernate explores persistence with the most popular available tools. You'll benefit from detailed coverage of Spring Data JPA, Spring Data JDBC, Spring Data REST, JPA, and Hibernate, comparing and contrasting the alternatives so you can pick what's best for your code. Begin with a hands-on introduction to object-relational mapping (ORM), then dive into mapping strategies for linking up objects and your database. You'll learn about the different approach to transactions for both Hibernate and Spring Data, and even how to deliver Java persistence with non-relational databases. Finally, you'll explore testing strategies for persistent applications to keep your code clean and bug free.

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Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real world use cases forfacial recognition, cloud data storage, and more. Alongside skills for technical implementation, you'll learn about current and future machine learning privacy challenges and how to adapt technologies to your specific needs. By the time you're done, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Large-scale scandals such as the Facebook Cambridge Analytic a data breach have made many users wary of sharing sensitive and personal information. Demand has surged among machine learning engineers for privacy-preserving techniques that can keep users private details secure without adversely affecting the performance of models.

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Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with R, Second Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. about the technology Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. what's inside Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation about the reader For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.

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An effective DBA is an efficient DBA. And if you work with SQL Server, dbatools is a lifesaver. With over 500 commands, this free and open source PowerShell module has the horsepower to automate just about every task you can imagine—and then some! Learn dbatools in a Month of Lunches teaches you techniques that will make you more effective—and efficient—than you ever thought possible. Learn dbatools in a Month of Lunches is a practical hands-on guide to automating SQL Server with PowerShell and the awesome dbatools module. You'll master techniques you can immediately put into practice, from daily duties like backups and restores right through to performing security audits. Stabilize and standardize your SQL server environment, and simplify your tasks by building automation, alerting, and reporting with this powerful tool. Each lesson delivers another skill that you can use to speed through your core tasks as a SQL Server DBA! About the TechnologyWant to automate tasks for thousands of SQL servers at once? Want to migrate an entire SQL server using just the command line? dbatools can do all that—and more. A free and open source PowerShell module, dbatools offers over 500 commands for automating SQL Server from the command line. Boasting advanced options unavailable in official tools, dbatools makes it easy to automate tasks including mass exports for simplified disaster recovery, tempdb configuration, and improving an instance's security posture.

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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 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 As a developer, you need to build software in a secure way. But you can't spend all your time focusing on security. The answer is to use good design principles, tools, and mindsets that make security an implicit result - it's secure by design. Secure by Design teaches developers how to use design to drive security in software development. This book is full of patterns, best practices, and mindsets that you can directly apply to your real world development. Key features · Use good design to create secure software · Apply design concepts in real-world cases · Spot hidden security problems · Assess security by identifying design patterns · Understand benefits and limitations of secure-by-design Audience Readers should have some experience in Java, C#/.NET, or similar language. About the technology Secure-by-design becomes a guiding principle in how you build your software, from code to architecture. This begins by understanding designs and patterns that promote security so they become easy to apply in your day-to-day work.

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Discover the power that functional programming brings to your Scala code. This international bestseller has been revised with new exercises, annotations, and full coverage of Scala 3. In Functional Programming in Scala, Second Edition you will learn how to: Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors Write code that performs I/O without sacrificing functional programming The first edition of Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. This second edition is fully updated to Scala 3 and the latest standards of FP. Inside, you'll find a serious tutorial for programmers looking to apply functional programming to improve their everyday coding practices. You'll progress from the basics to advanced topics in a logical, concise, and clear progression. Throughout, concrete examples and exercises open up the world of functional programming. about the technology Functional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is a popular JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with Java make Scala a great place to start learning FP. about the book Functional Programming in Scala, Second Edition teaches you functional programming from first principles using the powerful Scala language. You'll develop the unique skills you need to start thinking functionally through hands-on exercises and coding challenges. New to the revised second edition, each exercise comes with extensive annotations to help you understand functional programming in-depth. You'll even learn how to build your own Scala functional library that's perfectly adapted to your needs. You'll soon be writing Scala code that's easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. RETAIL SELLING POINTS Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviours Write code that performs I/O without sacrificing functional programming AUDIENCE For programmers experienced in Java or Scala. No prior knowledge of functional programming required.

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DESCRIPTION Many of the normal concerns faced by application developers are amplified by the challenges of web-scale concurrency, real-time performance expectations, multi-core support, and efficiently consuming services without constantly managing I/O blocks. Although it's possible to solve most of these issues with existing languages and frameworks, Go is designed to handle them right out of the box, making for a more natural and productive coding experience. Developed at Google for its own internal use, Go now powers dozens of nimble startups, along with name brands like Canonical, Heroku, SoundCloud, and Mozilla, who rely on highly performant services for their infrastructure. Go in Action introduces the unique features and concepts of the Go language, guiding readers from inquisitive developers to Go gurus. It provides hands-on experience with writing real-world applications including web sites and network servers, as well as techniques to manipulate and convert data at incredibly high speeds. It also goes in-depth with the language and explains the tricks and secrets that the Go masters are using to make their applications perform. For example, it looks at Go's powerful reflection libraries and uses real-world examples of integration with C code. KEY SELLING POINTS Written by Go developers Real use cases faced in day-to-day development Get tricks and tips from experienced Go users AUDIENCE This book assumes you're a working developer proficient with another language like Java, Ruby, Python, C#, or C++. ABOUT THE TECHNOLOGY Go is a powerful language that is gaining rapid adoption by companies that want to write fast systems while allowing their developers to use modern programming languages. Go development is sponsored and curated by Google, but has contributors from around the globe.

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DESCRIPTION JavaScript on the server? You bet! Node.js is a JavaScript framework that can be used to create scalable, high-performance web applications. Using asynchronous I/O, the server can do more than one thing at a time, a key requirement for real-time apps like chat, games, and live statistics. Node.js in Action, Second Edition is a thoroughly-revised new edition that starts at square one and guides readers through all the features, techniques, and concepts needed to build production-quality Node applications. The book dives into the many different uses of Node: traditional web applications, real-time web applications, non-web network applications, and even desktop applications. It also covers the ongoing development of Node via io.js and the emerging ECMAScript 6 features. KEY FEATURES • Simplifies web application development • Teaches Node.js from the ground up • Outlines valuable online resources • Application examples including chat, microblogging, and more AUDIENCE Perfect for a web developer transitioning from Rails, Django, or PHP. Requires basic knowledge of JavaScript. No prior experience with Node.js needed. ABOUT THE TECHNOLOGY Node.js is a JavaScript framework that can be used to create scalable, highperformance web applications. Using asynchronous I/O, the server can do more than one thing at a time, a key requirement for real-time apps like chat, games, and live statistics.

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