Search results for ""manning publications""

　 DESCRIPTION Most developers inherit projects built on an existing codebase that reflect design patterns, usage assumptions, infrastructure, and tooling from another time and another team. (And the docs are complete rubbish.) Fortunately, there are techniques that can breathe new life into legacy projects, allowing them to be maintained, improved, and scaled without having to constantly fight their current limitations. Stronger applications can be developed by injecting new architectural patterns, modern techniques for performance analysis, updated tests and build tools, and a healthy dose of cultural wisdom—creating a better work experience for all involved. Re-Engineering Legacy Software is an experience-driven guide to revitalizing inherited projects. It covers refactoring, quality metrics, toolchain and workflow, continuous integration, infrastructure automation, and organizational culture. On the technical side, readers will learn techniques for introducing dependency injection for code modularity, quantitatively measuring quality, and automating infrastructure. On the strategic side, they’ll develop practical processes for solid decision making. Core topics include deciphering and modularizing awkward code structures, effectively integrating and automating tests, replacing an outdated build system, and infrastructure automation using tools like Vagrant and Ansible. KEY SELLING POINTS Practical step-by-step guide Concrete examples Provides techniques needed to tackle legacy projects Leads to more productive development and reduces bugs AUDIENCE This book is written for developers and team leads comfortable with an OO language like Java or C#. ABOUT THE TECHNOLOGY Ansible is an open-source software platform for configuring and managing computers that has recently been gaining a lot of traction. Vagrant is computer software for building complete development environments.

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　 DESCRIPTION Spring in Action, Fourth Edition continues the practical, hands-on style of the previous bestselling editions. Author Craig Walls has a special knack for crisp and entertaining examples that zoom in on the features and techniques really needed. The Spring framework is required knowledge for Java developers, and this edition brings readers up to speed with Spring 3.1 and then highlights some of the new Spring 3.2 features such as asynchronous Spring MVC Controllers. It also covers testing support for Spring MVC controllers and RestTemplate-based clients which enables a richer form of testing for controllers and clients without having to fire up a server or hitting an actual REST API—in other words no-network involved. RETAIL SELLING POINTS Written by esteemed Spring expert Offers practical solutions to real-world problems Contains concise, easy to follow examples AUDIENCE Written for Java developers and software architects. ABOUT THE TECHNOLOGY Applications are composed of several components. If these components are tightly coupled (that is, if they have too much knowledge of each other), then the application can be difficult to maintain, enhance, and test. The Spring framework promotes a technique known as dependency injection,

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Almost half of all software projects fail to deliver on key requirements. Behavior-Driven Development (BDD) reduces these costly failures by building a shared understanding of how an application should work. Behavior Driven Development in Action, Second Edition teaches communication skills, collaborative practices, and automation tools that ensure everyone from developers to non-technical stakeholders are in agreement on the goals of a project. Revised and expanded in a second edition, the book contains new techniques for incorporating BDD into large-scale development practices such as Agile and DevOps, as well as updating examples for the latest versions of Java. about the technology You can't write good software if you don't understand what it's supposed to do. Behavior-Driven Development (BDD) encourages developers, quality teams, and non-technical stakeholders to collaborate, using conversation and concrete examples to make sure everyone agrees how an application should work and what features really matter. With a body of best practices and sophisticated tools for requirement analysis and test automation, BDD has become a mainstream practice for keeping projects on track and avoiding cancellation. what's inside BDD theory and practice How BDD will affect your team BDD for acceptance, integration, and unit testing Automating web services Reporting and living documentation about the reader For all development teams. No experience with BDD required. Examples written in Java.

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DESCRIPTION Cloud Computing is here to stay. As an economically viable way for businesses of all sizes to distribute computing, this technology shows tremendous promise. But the intense hype surrounding the Cloud is making it next to impossible for responsible IT managers and business decision-makers to get a clear understanding of what the Cloud really means, what it might do for them, when it is practical, and what their future with the Cloud looks like. The Cloud at Your Service helps cut through all this fog to help enterprises make these critical decisions based on facts and the authors’ informed unbiased recommendations and predictions. KEY POINTSF • Highly readable approach.F • Cuts through the hype.F • Helps managers make decisions.F • Practical guidance on working in the Cloud.

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“Atwood’s Law” is driven by the idea that all applications will ultimately wind up on the web and therefore must be written in JavaScript. WebAssembly may be your way out! With WebAssembly, you can write in nearly any modern language and run your code in the browser through a memory-safe, sandboxed execution environment that can be embedded in a web browser and other platforms. Getting set up and moving with WebAssembly requires you to modify your web dev process; WebAssembly in Action will get you started quickly and guide you through real-world examples and detailed diagrams that help you create, run, and debug WebAssembly modules. Key features • The WebAssembly format • Dynamic linking of multiple modules at runtime • Communicating between modules and JavaScript • Debugging modules • Unreleased features like host bindings and garbage collection Audience Written for developers with a basic understanding of C/C++, JavaScript, and HTML. About the technology WebAssembly compiles code written in C, C++, Rust, and other highlevel languages into an ultra-compact bytecode files that run in the browser and other environments at near-native speeds. Besides vastly improved performance, opportunities to reuse existing code, and the freedom to build in your favorite language, this game-changer allows access to newer and faster libraries. WebAssembly is the joint effort of industry leaders like Microsoft, Mozilla, Google, and others, with Gerard Gallant is a Microsoft Certified Professional and a Senior Software Developer at Dovico Software. He blogs regularly on Blogger.com and DZone.com.

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Crisp, clear graphics are a requirement for any application that presents and interprets data. D3.js is an amazing JavaScript framework that empowers users to create scalable, data-driven graphics ranging from simple charts to fantastic interactive visualizations. Based on the SVG standard, D3 takes the built-in programmability of vector graphics to the extreme. Developers can start with a structure, dataset, or algorithm and programmatically generate static, interactive, or animated images that responsively scale to any screen or web environment. D3.js in Action, a practical tutorial for creating interactive graphics and data driven applications using D3.js, prepares readers to integrate D3.js into their web development process and transform any site into a more engaging and sophisticated user experience. It starts with in-depth explanations of D3's out-of-the-box layouts, along with dozens of practical use cases that align with different types of visualizations. Then, it explores practical techniques for content creation, animation, and representing dynamic data, including interactive graphics and data streamed live over the web. Finally, it shows how to use D3's rich interaction model as the foundation for a complete web application. 　 RETAIL SELLING POINTSDozens of practical use cases In-depth explanations of D3’s out-of-the-box layouts Simplifies choosing the right metrics for the job AUDIENCE Readers will need basic HTML, CSS, and JavaScript skills. No experience with D3 or SVG required. ABOUT THE TECHNOLOGY D3.js is a javascript information visualization library used to create data visualization in the form of traditional charts (scatterplots, histograms, graphs) as well as network diagrams and geographic maps. It’s used by such organizations as the New York Times for its interactive graphics, as well as in industry for real-time dashboards, and in the scholarly community for publication of research in interactive and dynamic form.

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When you launch an application on the web, every hacker in the world has access to it. Are you sure your web apps can stand up to the most sophisticated attacks?Grokking Web Application Security is a brilliantly illustrated and clearly written guide that delivers detailed coverage on: How the browser security model works, including sandboxing, the same-origin policy, and methods of securing cookies Securing web servers with input validation, escaping of output, and defense in depth A development process that prevents security bugs Protecting yourself from browser vulnerabilities such as cross-site scripting, cross-site request forgery, and clickjacking Network vulnerabilities like man-in-the-middle attacks, SSL-stripping, and DNS poisoning Preventing authentication vulnerabilities that allow brute forcing of credentials by using single sign-on or multi-factor authentication Authorizati

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Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves! Think Like a Software Engineering Manager is full of all the skills you'll need to thrive in software leadership, including: People and performance management Empathy and feedback Delegation and learning to let go Hiring amazing engineers and handling attrition Collaborating with cross-functional partners Managing expectations at all levels Implementing DevOps Time and change management About the technology A superb software engineering manager needs to wear many hats: amazing communicator, effective decision maker, thoughtful mentor, and, of course, technical expert. This book helps you build your strengths and shore up your weaknesses so you can lead a productive team that consistently delivers quality software.

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This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language. For readers who know the basics of programming. Grokking Concurrency is the ultimate guide to effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you are building web apps, IoT systems, or handling big data. Specifically, you will: Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming Learn the strengths and weaknesses of different hardware architectures Improve the sequential performance characteristics of your software Solve common problems for concurrent programming Compose patterns into a series of practices for writing scalable systems Write and implement concurrency systems that scale to any size Grokking Concurrency demystifies writing high-performance concurrent code through clear explanations of core concepts, interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. About the technology Microservices, big data, real-time systems, and other performance-intensive applications can all slow your systems to a crawl. You know the solution is “concurrency.” Now what? How do you choose among concurrency approaches? How can you be sure you will actually reduce latency and complete your jobs faster? This entertaining, fully illustrated guide answers all of your concurrency questions so you can start taking full advantage of modern multicore processors.

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.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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Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) in writing regular expressions and other programmes. "How these tools can be both so very amazing in what they produce, and simultaneously so utterly doltish in their numerous failures, is the main thing this book tries to understand. For reasons I attempt to elucidate throughout, of all the domains of computer programming, games with regular expressions are particularly well suited for getting a grasp on the peculiar behaviors of AI." From the Preface For programmers of any experience level – no experience with AI coding tools is required. Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On the one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here's how the contest works: David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which one makes the smartest use of lesser-known Regex library features? Read the book to find out. David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not. About the technology Ground-breaking large language model research from OpenAI, Google, Amazon, and others, have transformed expectations of machine-generated software. But how do these AI assistants, like ChatGPT and GitHub Copilot, measure up against regular expressions—a workhorse technology for developers used to describe, find, and manipulate patterns in the text? Regular expressions are compact, complex, and subtle. Will AI assistants handle the challenge?

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Write object-oriented code that''s manageable, maintainable, and future-proof.Keeping your object-oriented designs simple demands a creative approach and that''s exactly what you''ll find in Simple Object-Oriented Design. This book is full of patterns and principles for reducing complexity, each one proven in author Mauricio Aniche''s 20-year career in software development. You''ll learn how to tackle code''s natural growth in complexity, and adopt a good enough approach that means it''s easy to refactor when requirements change.You''ll discover insightful principles for: Making code readable and documented Improving consistency and encapsulation Managing dependencies Designing abstractions Handling infrastructure Effective modularization Learn what constitutes both good and bad object-oriented software design, discover how to make better trade-offs in design d

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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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You know how to build Go programs—now learn how to ship them to your customers efficiently! This practical guide to continuous delivery shows you how to rapidly establish an automated pipeline that will improve your testing, code quality, and final product. In Bootstrapping Go you will learn how to: Develop better software based on feedback from customers Create a development pipeline that turns feedback into features Reduce bugs with pipeline automation that validates code before it is deployed Establish continuous testing for exceptional code quality Serverless, container based, and server based deployments Scale your deployment in a cost-effective way Deliver a culture of continuous improvement Bootstrapping Go is a hands-on guide to shipping Go-based software. Following examples in the powerful Go programming language, you'll learn how to establish pipelines that seamlessly ferry your projects through production and deployment. Put the theory of continuous delivery and continuous integration into action, and discover instantly-useful guidance on automating your team's build and reacting with agility to customer demands. about the technology Development pipelines built to the principles of continuous delivery are the best way for code to flow through your organization. A properly functioning pipeline makes it seamless to modify functionality, enhance code quality, and evolve your deployments to meet your customer's needs. about the book Bootstrapping Go: Automating code development, testing and deployment shows you how to build pipelines that optimize your development process so you can deliver software seamlessly to production. You'll dive right in, learning author Joel Holmes's easy way to establish pipelines. In fact, you'll set up your first working pipeline before you're finished with Chapter three!

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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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"Great to build your first Jamstack website! Drives you from choosing the correct framework to deployment and production." - Matej Strasek Jamstack = JavaScript, APIs, and Markup. Use established standard technologies to build super fast static websites without sacrificing rich, dynamic features. Building websites with simple, straightforward standards can feel like a breath of fresh air. Jamstack sites use JavaScript, APIs, and Markup to create fast, dynamic pages without the overhead of heavyweight frameworks. The Jamstack Book is your essential guide to this exciting new web architecture. Written by renowned Jamstack experts Raymond Camden and Brian Rinaldi, it's filled with real-world projects to develop and hone your skills. about the technologyThe Jamstack answers your need for site speed and simplicity in development. This modern web architecture combines client-side JavaScript, APIs, and pre-rendered Markup (the JAM in Jamstack) to give developers the quick load times of static websites without forfeiting any dynamic functionality. Secure and easy to maintain, Jamstack sites are naturally optimized for slower mobile connections and for search engines that prioritize speed. about the bookThe Jamstack Book is a comprehensive guide to developing standards-based static websites using JavaScript, APIs, and standard HTML markup. In this hands-on guide, you'll build a new project each chapter, creating a portfolio of Jamstack-architecture sites that range from a simple blog to an eCommerce store. Each new project teaches you important skills. You'll learn how to lay out and generate a site, deploy to the cloud, and add dynamic features like user logins and search functionality. Along the way, you'll try out a variety of lightweight tools, including Hugo, Jekyll, Eleventy, and Netlify. By the time you're finished, you'll be ready to build fast and secure static sites and migrate your existing websites to Jamstack! what's insideUse different static site generators to build websitesDeploy Jamstack sites with Hugo, 11ty, and JekyllAdd dynamic capabilities like form processing and eCommerceEnhance your Jamstack site with serverless capabilitiesIntegrate a CMS with a Jamstack site about the readerFor web developers and CMS site developers. about the authorRaymond Camden is a lead developer evangelist for HERE. He works on maps, geospatial stuff, JavaScript, and enterprise cat demos. He is the author of multiple books on web development and has been actively blogging and presenting for almost twenty years. Brian Rinaldi is a developer advocate at StepZen. Brian has been involved in static site and Jamstack development since the early days, writing and speaking extensively on a range of related topics. Brian also serves as the editor of Jamstacked, a newsletter focused exclusively on the Jamstack community.

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Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner. Automated Machine Learning in Action, filled with hands-onexamples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks. Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input. You'll quickly run through machine learning basics thatopen upon AutoML to non-data scientists, before putting AutoML into practicefor image classification, supervised learning, and more. Automated machine learning (AutoML) automates complex andtime-consuming stages in a machine learning pipeline with pre packaged optimal solutions. This frees up data scientists from data processing and manualtuning, and lets domain experts easily apply machine learning models to their projects.

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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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Hello World! Third Edition is a fun, easy-to-use guide with copious illustrations and engaging examples. It takes the reader on a playful tour of basic programming concepts and then puts those concepts together to make fun and useful programs. It uses Python, a programming language that is one of the easiest to read, write, and understand. Like the previous two editions, Hello World! Third Edition is not just for kids. While the tone is light and engaging, it doesn't "talk down" to the reader, and beginners of any age will love its readability and sense of humor. Written by Warren Sande and his son, Carter, it is full of examples that will get you thinking and learning. Reviewed by professional educators, this book is kid-tested and parent-approved. You don't need to know anything about programming to use the book, just the basics of using a computer. If you can start a program and save a file, you can learn to program using this book! Uses free open source software Lots of graphics, cartoons, and fun examples Complete set of practice questions and exercises Illustrated in full color

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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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Scala is a multi-style programming language for the JVM that supports both object-oriented and functional programming. Master Scala, and you'll be well-equipped to match your programming approach to the type of problem you're dealing with. Packed with examples and exercises, Get Programming with Scala is perfect starting point for developers with some OO knowledge who want to learn Scala and pick up a few FP skills along the way. about the technologyAlthough it’s a relative newcomer, Scala turned out to be the right language at the right time, opening up the world of functional programming to the JVM. Scala looks a lot like Java, and it interacts seamlessly with familiar Java libraries and tools. Since it fully supports functional programming, Scala gives you the freedom to choose the right programming style exactly when it benefits you. Scala can be daunting at first, especially if you’re seeing FP ideas for the first time. Fortunately, with the examples and exercises in this book, you’ll get over the initial learning hump quickly and start doing interesting projects before you know it! about the book Get Programming with Scala teaches you the core skills you'll need to code with Scala. This book lives up to its name! You'll learn the ins and outs of Scala by actually programming with it, thanks to the practical examples, exercises, and easy-to-follow lessons. You'll start by reviewing OOP concepts in the Scala language. Then, example-by-example, you'll gradually open up the world of functional programming. You'll explore functions and types and learn how to combine them to create powerful, flexible abstractions. Along the way, you'll learn some Scala testing and get an intuition for sniffing out and fixing code that doesn't smell quite right. what's inside Learn to express OO principles in Scala Express your program designs in functions Make use of types to enforce program requirements Use abstractions to avoid code duplication Write meaningful tests and recognize code smells about the readerWritten for developers with some prior experience in an OOP language like Java or C#. No experience with Scala or functional programming is needed. about the author Daniela Sfregola started working with Scala in 2013. Since then she has been an active contributor to the Scala Community. Daniela currently maintains several open source projects in the community and regularly speaks at Scala conferences. She blogs about Scala regularly at https://danielasfregola.com

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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 skills you need to build React applications quickly! This fully revised second edition introduces functional components, React hooks, static site generators, and more. In React Quickly, Second Edition you will learn how to: Master React fundamentals Implement best practices and the components of good architecture Build full web apps with data and routing Test components with Jest and the React Testing Library Handle data with Redux, GraphQL, and Apollo Optimize React apps Build your skills with React and its ecosystem fast. There's no slow theory and tedious history. You'll dive into React code right from the very first chapter. The book teaches you how React thinks, introducing ways of structuring your architecture that even work with large teams. You'll explore over 100 useful and practical examples that put React into action. This new second edition has been completely rewritten to cover the latest developments in the React framework. about the technology The React JavaScript library helps developers speedily build reliable and beautiful frontends and user interfaces. Its simple architecture makes it easy to create complex web applications. React's compartmentalized components can be quickly and easily tested in isolation and composed into a full application. This makes React a perfect choice for anything from quick prototypes to full-scale large websites. And because it's all JavaScript, React is instantly familiar. about the book React Quickly, Second Edition is a practical guide to React for busy web developers. Following over 100 carefully chosen and clearly explained examples, you'll learn React development using your existing JavaScript and web development skills. This totally rewritten second edition is full of brand new topics, including chapters on functional components, static site generations, and CSS in JS. Plus, you'll love the new sample projects ranging from an interactive menu to an online bookstore! All examples follow the best practices for web accessibility to make your applications open to everyone. RETAIL SELLING POINTS • Master React fundamentals • Implement best practices and the components of good architecture • Build full web apps with data and routing • Test components with Jest and the React Testing Library • Handle data with Redux, GraphQL, and Apollo • Optimize React apps AUDIENCE This book is for developers comfortable building web applications with JavaScript.

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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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Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. You’ll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Key Features · Recursion, memorization, bit manipulation · Search algorithms · Constraint-satisfaction problems · Graph algorithms · K-means clustering For intermediate Java programmers. About the technology In any computer science classroom you’ll find a set of tried-and-true algorithms, techniques, and coding exercises. These techniques have stood the test of time as some of the best ways to solve problems when writing code, and expanding your Java skill set with these classic computer science methods will make you a better Java programmer. David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).

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By dividing large applications into separate self-contained units, Microservices are a great step toward reducing complexity and increasing flexibility. Spring Microservices in Action, Second Edition teaches you how to build microservice-based applications using Java and the Spring platform. This second edition is fully updated for the latest version of Spring, with expanded coverage of API routing with Spring Cloud Gateway, logging with the ELK stack, metrics with Prometheus and Grafana, security with the Hashicorp Vault, and modern deployment practices with Kubernetes and Istio. about the technologyMicroservices break up your code into independent interconnected services that require careful forethought and design. Fortunately, Spring Boot, Spring Cloud, and Spring Cloud Gateway simplify the tedious plumbing and infrastructure setup required for microservice applications. Spring Boot removes the boilerplate code involved with writing a REST-based service. Spring Cloud provides a suite of tools for the discovery, routing, and deployment of microservices to the enterprise and the cloud. Spring Cloud Gateway provides a clear and effective routing to APIs, with a single entry point into a system. Together, they make it a snap to spin up Spring applications as microservices and wire them together into a reliable, scalable system. about the bookFully updated and upgraded for the latest version of Spring, Spring Microservices in Action, Second Edition is an expanded revision of a Manning bestseller. In it, you’ll learn how to build microservice-based applications using Java and the Spring platform and how to efficiently monitor and log your microservices operations. Throughout the book, carefully selected real-life examples expose microservice-based patterns for configuring, routing, scaling, and deploying your services. You'll see how Spring's intuitive tooling can help augment and refactor existing applications with microservices and how Spring Cloud Gateway makes it easy to handle multiple APIs with a single tool. You’ll also pick up best practices for using Spring with modern deployment platforms based on Kubernetes and Istio. what's inside Core microservice design principles Microservices best practices Using docker containers to run microservices Managing configuration with Spring Cloud Config and Hashicorp Vault for sensitive information Client-side resiliency with Hystrix, and Ribbon Managing application metrics with Prometheus and Grafana Intelligent routing using Spring Cloud Gateway Distributed tracing with Spring Cloud Sleuth, Zipkin and ELK Stack Deploying Spring Cloud applications with Kubernetes and Istio about the readerThis book is written for developers with Java and Spring experience. about the authors John Carnell is a senior cloud engineer with twenty years of experience in Java. Illary Huaylupo Sánchez is a software engineer with an MBA in IT management and over twelve years of experience in Java.

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Distributed applications demand reliable, high-performance messaging. The Apache Pulsar server-to-server messaging system provides a secure, stable platform without the need for a stream processing engine like Spark. Contributed by Yahoo to the Apache Foundation, Pulsar is mature and battle-tested, handling millions of messages per second for over three years at Yahoo. Apache Pulsar in Action is a comprehensive and practical guide to building high-traffic applications with Pulsar, delivering extreme levels of speed and durability. about the technology Pulsar is a streaming messaging system designed for high performance server-to-server messaging. Built and tested under intense conditions at Yahoo, Pulsar has been proven in production and can handle millions of messages per second. Now free and open-source, Pulsar’s unique architecture helps solve some of the challenges of modern development. Pulsar avoids latency in streaming data transmission, making it a powerful tool for IoT Edge analytics. Its unified messaging model improves the performance of microservices architecture, and its tiered storage capabilities allow for larger volumes of data to be handled without fear of data loss. Pulsar’s flexible API interface works with Java, C++, Python, and Go, making it easy to incorporate Pulsar into your stack. about the book Apache Pulsar in Action is a hands-on guide to building scalable streaming messaging systems for distributed applications and microservices systems. You’ll start with Pulsar’s fundamentals, each illustrated by real-world examples, as you get to grips with Pulsar’s unique architecture. Pulsar contributor David Kjerrumgaard teaches the skills you need to deploy a Pulsar server, ingest data from third-party systems, and deploy lightweight computing logic with simple functions. You’ll learn to employ Pulsar’s seamless scalability through relatable case studies, including an IOT analytics application that can be deployed within a resource constrained environment and a microservices application based on Pulsar functions. At the end of this practical book, you’ll be ready to fully take advantage of Pulsar to create high-traffic message-driven applications. what's inside Publish from Apache Pulsar into third-party data repositories and platforms Design and develop Apache Pulsar functions Perform interactive SQL queries against data stored in Apache Pulsar Examples of Pulsar-based microservices that you can download and try yourself about the reader Written for experienced Java developers. No prior knowledge of Pulsar is needed. about the author David Kjerrumgaard is the Director of Solution Architecture at Streamlio, and a contributor to the Apache Pulsar and Apache NiFi projects.

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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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Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results. Starting by applying the underlying maximum likelihood principle of curve fitting to deep learning, readers will move on to using the Python-based Tensorflow Probability framework, and set up Bayesian neural networks that can state their uncertainties. Key Features · The maximum likelihood principle that underlies deep learning applications · Probabilistic DL models that can indicate the range of possible outcomes · Bayesian deep learning that allows for the uncertainty occurring in real-world situations · Applying probabilistic principles to variational auto-encoders Aimed at a reader experienced with developing machine learning or deep learning applications. About the technology Probabilistic deep learning models are better suited to dealing with the noise and uncertainty of real world data —a crucial factor for self-driving cars, scientific results, financial industries, and other accuracy-critical applications. Oliver Dürr is professor for data science at the University of Applied Sciences in Konstanz, Germany. Beate Sick holds a chair for applied statistics at ZHAW, and works as a researcher and lecturer at the University of Zurich, and as a lecturer at ETH Zurich. Elvis Murina is a research assistant, responsible for the extensive exercises that accompany this book. Dürr and Sick are both experts in machine learning and statistics. They have supervised numerous bachelors, masters, and PhD the seson the topic of deep learning, and planned and conducted several postgraduate and masters-level deep learning courses. All three authors have been working with deep learning methods since 2013 and have extensive experience in both teaching the topic and developing probabilistic deep learning models.

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For developers with intermediate Java knowledge and experience building RESTful APIs. API Security in Action shows you how to create secure web APIs that you can confidently share with your business partners and expose for public usage. Security expert Neil Madden takes you under the hood of modern API security concepts, including token-based authentication for flexible multi-user security, bootstrapping a secure environment in a Kubernetes microservices architecture, and using lightweight cryptography to secure an IoT device. Chapter-by-chapter, you’ll build new layers of security onto a basic social network API, mastering techniques to protect against increasingly complex threat models and hostile environments. When you’re done, you’ll have the practical skills to design and implement APIs that are safe from most common attacks and are ready for the threats of tomorrow. The main API security controls: authentication, authorization, audit logging, rate limiting, and encryption Token-based authentication in web browsers and mobile clients Cloud Key Management Services in a Kubernetes environment Delegated authorization using OAuth 2.0

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As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. about the technology Data structures and algorithms are the foundations for how programs store and process information. Choosing the optimal algorithms ensures that your programs are fast, efficient, and reliable. about the book Algorithms and Data Structures in Action expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. In it, you’ll discover techniques for improving priority queues, efficient caching, clustering data, and more. Each example is fully illustrated with graphics, language agnostic pseudo-code, and code samples in various languages. When you’re done, you will be able to implement advanced and little-known algorithms to deliver better performance from your code. what's inside Improving on basic data structures Efficient caching Nearest neighbour search, including k-d trees and S-trees Full ‘pseudo-code’ and samples in multiple languages about the readerFor programmers with basic or intermediate skills. Written in a language-agnostic manner, no specific language knowledge is required. about the author Marcello La Rocca is a research scientist and a full-stack engineer focused on optimization algorithms, genetic algorithms, machine learning and quantum computing. He has contributed to large-scale web applications at companies like Twitter and Microsoft, has undertaken applied research in both academia and industry, and authored the Neatsort adaptive sorting algorithm.

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With DApps built on the Ethereum blockchain, users can establish persistent, reliable ownership records for actions such as buying a car or a house with smart contracts to enforce blockchain-based verification before a transaction can be completed. Building Ethereum ĐApps introduces readers to decentralized applications based on the Ethereum blockchain platform. They’ll discover how to design smart contracts to enforce transaction rules, and then implement them in Ethereum's JavaScript-like Solidity language. Key Features · Understanding decentralized applications and the underlying technologies · Learning the key components of the Ethereum platform · Implementing smart contracts in Solidity Audience Written for developers with intermediate experience in an OO language or in JavaScript. Some understanding and experience with blockchain concepts is helpful. Author Bio Roberto Infante is an independent software development consultant who specializes in finance. Throughout his career, he has worked on a variety of innovative projects, such as the first internet mortgage approval system in the UK and one of the first online insurance underwriting systems in London.

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DESCRIPTION PowerShell provides a single, unified administrative command line from which to control and automate virtually every aspect of a Windows system. It accepts and executes commands immediately, and scripts can be written to manage most Windows servers like Exchange, IIS, and SharePoint. This updated book covers PowerShell features that run on Windows 7, Windows Server 2008 R2, and later. This edition is appropriate for PowerShell version 3 and later. There is coverage for new PowerShell version 5 features like PowerShellGet, however PowerShell fundamentals are unchanged. Learn Windows PowerShell in a Month of Lunches, Third Edition is an innovative tutorial designed for busy IT professionals. With just one hour a day for a month, readers will be automating Windows tasks faster than they ever thought possible. They start with the basics (What is PowerShell and what can be done with it). Then, it moves systematically through the techniques and features that facilitate efficient and effective results. KEY FEATURES• A great start with a great tutorial • Concise and easy-to-follow • Based on years of successful training techniques • Hands-on exercises and labs AUDIENCE Experience with Windows administration is helpful. No programming or scripting experience is assumed. ABOUT THE TECHNOLOGY PowerShell is an automation engine for Windows systems. It is being built into all major Microsoft products and many third party products. PowerShell allows for the automations of day to day administration tasks and is a must learn technology for administrators.

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