Search results for ""manning publications""

SummaryIsomorphic Web Applications teaches you to build production-quality web apps using isomorphic architecture. Designed for working developers, this book offers examples in relevant frameworks like React, Redux, Angular, Ember, and webpack.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyBuild secure web apps that perform beautifully with high, low, or no bandwidth. Isomorphic web apps employ a pattern that exploits the full stack, storing data locally and minimizing server hits. They render flawlessly, maximize SEO, and offer opportunities to share code and libraries between client and server.About the BookIsomorphic Web Applications teaches you to build production-quality web apps using isomorphic architecture. You''ll learn to create and render views for both server and browser, optimize local storage, streamline server

Read more less

Solve common application design and usability issues with flair! Design for Developers introduces the essential design and UX techniques to help you create good user experiences, iterate smoothly on front-end features, and collaborate effectively with designer colleagues. Author Stephanie Stimac shares the unique insights she's learned as a designer for the Microsoft Developer Experiences team. This one-of-a-kind book provides a developer-centric approach to the essential design fundamentals of modern web applications. Key features include: Use colour, typography, and layout to create a hierarchy on a web page Apply colour palettes consistently in a user interface Choose the correct typefaces and fonts Conduct user research to validate design decisions Quickly plan a website's layout and structure Ideal for web developers familiar with HTML, CSS, and JavaScript basics, you will learn how to craft a polished visual design with just colour, space, and typeface and put all your new skills into practice to design a website from scratch. About the technology Having good design sense will make you a better web developer. This practical guide teaches you essential design and UX principles so you can speak the language of design and make more informed decisions about how you build your apps. You will also get up to speed with the design workflow and learn how to integrate the design process effectively into the development lifecycle.

Read more less

The “servicemesh” pattern, implemented by platforms like Istio, helps you push operational issues into the infrastructure so the application code is easier to understand, maintain, and adapt. Istio in Action teaches you how to implement a full-featured Istio-based service mesh to manage a microservices application. Istio in Action is a comprehensive guide to handling authentication, routing, retrying, load balancing, collecting data, security, and other common network-related tasks using the Istio service mesh platform. With helpful diagrams and hands-on examples, you'll learn how to use this open-source service mesh to control routing, secure container applications, and monitor network traffic. You will also bring Istio to legacy systems without changes to your applications and discover how to use Istio in amulti-cloud world with the data layer deployed on a cluster like Kubernetes. Cloud-native applications can include thousands of clustered containers, distributed components, and complex interactions. To build them effectively, developers need a new approach to infrastructural concerns like monitoring, storage, scaling, orchestration, and security. The Istio platform offers a configurable infrastructure layer called a service mesh that reliably and efficiently manages day-to-day concerns like service discovery, load balancing, encryption, authentication and authorization, circuit breakers, and more. Open source andcloud-ready, Istio is a welcome upgrade from manually managed microservices infrastructure.

Read more less

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.

Read more less

For front-end web developers familiar with the basics of HTML, CSS, and JavaScript. Svelte and Sapper in Action is a comprehensive guide to building web apps with Svelte and Sapper. You’ll dive straight into coding a complete travel packing app as you learn to write, compile, and organize Svelte components for your app’s UI. From there, you’ll master Svelte’s awesome state management model and learn to use Sapper for simplified page routing, creating static sites, and providing offline support with Service Workers. By the time you’re done, you’ll be able to build web applications that are easier to understand, offer great UX, and don’t compromise on SEO. Creating Svelte applications and components Communicating between Svelte components Routing between pages in both Svelte and Sapper Adding animation to components Debugging, testing, and deploying applications Implementing and invoking REST services in a Sapper app Exporting a Sapper app as a static site Imagine web apps with fast browser load times that also offer amazing developer productivity and require less code to create. That’s what Svelte and Sapper deliver! Svelte pushes a lot of the work a frontend framework would handle to the compile step, so your app components come out as tight, well-organized JavaScript modules. Sapper is a lightweight web framework that minimizes application size through server-rendering front pages and only loading the JavaScript you need. The end result is more efficient apps with great UX and simplified state management. Rather than loading a framework like Angular, Vue, or React into the browser, Svelte compiles your components into tiny, well-organized JavaScript modules. That means your app loads lightning fast and runs even faster, in part because there’s no need to load “just-in-case” framework code. Svelte also streamlines your UI development with a host of powerful features such as reactive statements, two-way data binding, stores, and context. The Sapper framework pairs perfectly with Svelte for efficient server-side rendering, code splitting, and API development.

Read more less

Build professional quality web applications using Python and the Django 5.0 web framework.The Django web application framework powers huge sites like Netflix, Dropbox, YouTube, and Spotify. Learn how it can power your web apps too! In this hands-on book, you’ll begin building a fully functional web application with Django starting with chapter 1. In Django in Action you’ll: Build a multi-user web site in Django Read, write, and manage data Create reusable and composable HTML templates Manage user data including form submissions and file uploads Set up authentication, authorization, and per-person-per-page permissions Manage the backend using the Django Admin tool Discover Django libraries and plugins Django in Action is the perfect way to get started for new Django developers creating their first Python-based web apps. It’s written by Christopher

Read more less

Discover Podman, a next-generation container engine that manages containers rootlessly and provides extra layers of exceptional security unavailable in Docker and other container platforms. In Podman in Action you will learn how to: Build and run containers in rootless mode Develop and manage pods Use SystemD to oversee a container's lifecycle Work with the Podman service via Python Keep your containers confined using Podman security features Manage containerized applications on edge devices Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. It also demonstrates how, with Podman, you can easily convert containerized applications into Kubernetes-based microservices. about the technology Podman is a daemonless container engine that lets you build and run containers on all Linux distributions, Windows, and MacOS. It supports the fork exec model for running containers, which allows for better integration with a system and makes it easier to run rootless. It also boasts unique advanced features, such as the ability to create and run Pods that are similar to Kubernetes, and execute Kubernetes YAML. And if you're not ready to completely move on from Docker, Podman can run as a service and support the Docker API in a way that works with docker-compose and docker-py. about the reader For developers or system administrators experienced with Linux and the basics of Docker.

Read more less

Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models. In Engineering Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the right open-source project for your platform Engineering Deep Learning Systems is a practical guide for software engineers and data scientists who are designing and building platforms for deep learning. It's full of hands-on examples that will help you transfer your software development skills to implementing deep learning platforms. You'll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a deep learning engineer. about the technology Behind every deep learning researcher is a team of engineers bringing their models to production. To build these systems, you need to understand how a deep learning system's platform differs from other distributed systems. By mastering the core ideas in this book, you'll be able to support deep learning systems in a way that's fast, repeatable, and reliable.

Read more less

Fully updated to Elixir 1.15, this authoritative bestseller reveals how Elixir tackles problems of scalability, fault tolerance, and high availability. Inside Elixir in Action, Third Edition you'll find: Updates for Elixir 1.15 Elixir modules, functions, and type system Functional and concurrent programming Introduction to distributed system design Creating deployable releases About the technology Elixir is the perfect choice for mission-critical software. Its fault-tolerance and concurrency capabilities let it seamlessly handle huge numbers of users and data, and its functional programming mindset means Elixir applications are predictable, readable, and easy to maintain. Start coding in Elixir, and you'll get instant access to the battle-tested Erlang virtual machine that powers this awesome language, along with Elixir's own thriving ecosystem of resources. It's the reliable solution you need for everything from a large-scale distributed system to a simple web app.

Read more less

One month. One hour a day. That's all it takes to start writing Rust code! Learn Rust in a Month of Lunches teaches you the essential skills of Rust. By the time you're done learning, you'll be able to: Build real software in Rust Understand messages from the compiler and Clippy, Rust's coding coach Make informed decisions on the right types to use in any context Make sense of the Rust standard library and its commonly used items Use external Rust "crates"; (libraries) for common tasks Work with crates that use async Rust Write simple declarative macros Explore test driven development in Rust About the technology Developers love Rust! Rust is a true general purpose language, suitable for everything from system programming to web applications and games. It delivers the performance of low-level languages like C/C++ while providing memory safety, type safety, and a compiler that makes it difficult to compile bad code. Plus, Rust makes it easy to refactor your code without worrying about breaking anything. It's a truly hassle-free programming experience.

Read more less

Writing computer programs in Python just got a lot easier! Use AI-assisted tools like GitHub Copilot to go from idea to application faster than you can say "ChatGPT". In Learn AI-Assisted Python Programming: With GitHub Copilot you'll learn how to: Write fun and useful Python applications—no programming experience required! Use the Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job Learn AI-Assisted Python Programming: With GitHub Copilot is a beginner's guide that embraces AI as the future of coding. AI-assisted coding tools like GitHub Copilot and ChatGPT empower you to create useful Python applications without learning all the low-level details of a programming language. You'll hit the ground running as you write prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you'll pick up the essentials of Python programming and practice the higher-level thinking you'll need to create working apps for data science, automation, and even video games.

Read more less

Understand Kubernetes and other orchestration systems deeply by building your own using Go and the Docker API.

Read more less

There's a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure built on the Microsoft Azure platform. Data Engineering on Azure teaches you to build a scalable and robust data platform to industry-leading standards. All examples are based on the production big data platform that powers Microsoft's customer growth operations. You'll learn techniques and best practices that author Vlad Riscutia and his team use on a daily basis, including automation and DevOps, running a reliable machine learning pipeline, and managing your data inventory. Examples are illustrated with Azure. The patterns and techniques are transferable to other cloud platforms. About the TechnologyBuild secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify.

Read more less

Functional Programming in Kotlin is a reworked version of the bestselling Functional Programming in Scala, with all code samples, instructions, and exercises translated into the powerful Kotlin language. In this authoritative guide, you’ll take on the challenge of learning functional programming from first principles, and start writing Kotlin code that’s easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. about the technologyKotlin is a new JVM language designed to interoperate with Java and offer an improved developer experience for creating new applications. It’s already a top choice for writing web services, and Android apps. Although it preserves Java’s OO roots, Kotlin really shines when you adopt a functional programming mindset. By learning the core principles and practices of functional programming outlined in this book, you’ll start writing code that’s easier to read, easier to test and reuse, better for concurrency, and less prone to bugs. about the book Functional Programming in Kotlin is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. Based on the bestselling Functional Programming in Scala, this book guides intermediate Java and Kotlin programmers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming. The book will deliver practical mastery of FP using Kotlin and a valuable perspective on program design that you can apply to other languages. what's inside Functional programming techniques for real-world applications Write combinator libraries Identify common structures and idioms in functional design Code for simplicity, modularity, and fewer bugs about the readerFor intermediate Kotlin and Java developers. No experience with functional programming is required. about the author Marco Vermeulen has almost two decades of programming experience on the JVM, with much of that time spent on functional programming using Scala and Kotlin. Rúnar Bjarnason and Paul Chiusano are the authors of Functional Programming in Scala, on which this book is based. They are internationally-recognized experts in functional programming and the Scala programming language.

Read more less

The big challenge for a successful AI project isn’t deciding which problems you can solve. It’s deciding which problems you should solve. In Managing Successful AI Projects, author and AI consultant Veljko Krunic reveals secrets for succeeding in AI that he developed with Fortune 500 companies, early-stage start-ups, and other business across multiple industries. Key Features · Selecting the right AI project to meet specific business goals · Economizing resources to deliver the best value for money · How to measure the success of your AI efforts in the business terms · Predict if you are you on the right track to deliver your intended business results For executives, managers, team leaders, and business-focused data scientists. No specific technical knowledge or programming skills required. About the technology Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Managing Successful AI Projects sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It’s filled with practical techniques for running data science programs that ensure they’re cost effective and focused on the right business goals. Veljko Krunic is an independent data science consultant who has worked with companies that range from start-ups to Fortune 10 enterprises. He holds a PhD in Computer Science and an MS in Engineering Management, both from the University of Colorado at Boulder. He is also a Six Sigma Master Black Belt.

Read more less

GraphQL radically improves the efficiency of web APIs, reducing the number of requests and the volume of data in-transit within your web applications. You can amplify the benefits of GraphQL by adjusting your stack to match GraphQL’s more natural representation of your data as a graph. In Fullstack GraphQL Applications with GRANDstack you’ll learn to build graph-aware end-to-end web applications using GraphQL, React, Apollo, and the Neo4j graph database. about the technologyOver-fetching or under-fetching data from REST APIs makes your applications slow and unreliable, especially over weak mobile network connections. The GraphQL query language offers a solution with a new API paradigm, reducing loads by constructing precise graph-based data requests. By adapting your application’s design and data store to leverage graphs throughout the stack, you decrease friction by using a consistent data model improving developer productivity, performance and maintainability. The combination of GraphQL, React, Apollo, and Neo4j Database, aka “the GRANDstack,” provides an easily adoptable end-to-end solution perfect for building fullstack GraphQL applications. about the book Fullstack GraphQL Applications with GRANDstack teaches you to leverage the power of GraphQL to create modern APIs that streamline data loads by allowing client applications to selectively fetch only the data required. GRANDstack.io contributor and GraphQL Foundation member William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch and create graph-aware fullstack web applications. In this project-driven book, you’ll build a complete business reviews application using the cutting-edge GRANDstack, learning how the different parts fit together. Chapter-by-chapter, you’ll master creating a GraphQL service with Apollo Server, modelling a GraphQL API with GraphQL type definitions, installing the Neo4j Database on different platforms, and more. By the time you’re done, you’ll be able to deploy all of the components of a serverless fullstack application in a secure and cost-effective way that takes full advantage of GraphQL’s performance capabilities. Along the way, you’ll also get tips for applying these techniques to other stacks. what's inside Building the backend functionality of a GraphQL application Handling authentication and authorization with GraphQL Implementing pagination and rate limiting in a GraphQL API Create a basic frontend application using React and Apollo Client about the readerAimed at developers comfortable building web applications using tools like Django, Rails, or MEAN stack and standard SQL-based databases. No experience with GraphQL or graph databases required. about the author William Lyon is a software developer at Neo4j, working on integrations with other technologies and helping users build applications with Neo4j. He is the creator and maintainer of neo4j-graphql.js, a JavaScript library for creating GraphQL APIs, and is a contributor to GRANDstack.io. He serves as Neo4j’s representative on the GraphQL Foundation.

Read more less

Static websites—sites with fixed content—are the simplest type of web pages. In addition to being easier to create and maintain, they’re inherently more secure that dynamic pages. And with the Hugo static site engine, you can render them in milliseconds. Hugo in Action is a step-by-step guide to using Hugo to create static websites that really show off the advantages of simplicity. Working with a complete example website and source code samples, you’ll learn how to build and host a low-maintenance, high-performance site that will wow your users and stay stable without relying on a third-party server. Key Features · Installing Hugo and building your first web page · Using the Go Template language · Forking themes · Building your own APIs For web developers with intermediate knowledge of HTML/CSS and basic knowledge of JavaScript. About the technology With the Hugo engine, you can build and render static web pages in milliseconds. Written in Go, the Hugo engine takes your directory of content and templates and renders it as a full HTML and CSS website. It uses Markdown files for its data, making it quick to code, capable of running from any directory, and a great choice when working on a shared system where you don’t have full privileges. Perfect for blogs, documentation, and portfolio sites, Hugo makes web development fast and fun again. Atishay Jain is a Senior Computer Scientist at Adobe, who has developed web-based software used by millions of Adobe Creative Cloud customers on a daily basis.

Read more less

Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph databases. Right off the bat, seasoned graph database experts introduce readers to just enough graph theory, the graph database ecosystem, and a variety of datastores. They also explore modelling basics in action with real-world examples, then go hands-on with querying, coding traversals, parsing results, and other essential tasks as readers build their own graph-backed social network app complete with a recommendation engine! Key Features · Graph database fundamentals · An overview of the graph database ecosystem · Relational vs. graph database modelling · Querying graphs using Gremlin · Real-world common graph use cases For readers with basic Java and application development skills building in RDBMS systems such as Oracle, SQL Server, MySQL, and Postgres. No experience with graph databases is required. About the technology Graph databases store interconnected data in a more natural form, making them superior tools for representing data with rich relationships. Unlike in relational database management systems (RDBMS), where a more rigid view of data connections results in the loss of valuable insights, in graph databases, data connections are first priority. Dave Bechberger has extensive experience using graph databases as a product architect and a consultant. He’s spent his career leveraging cutting-edge technologies to build software in complex data domains such as bioinformatics, oil and gas, and supply chain management. He’s an active member of the graph community and has presented on a wide variety of graph-related topics at national and international conferences. Josh Perryman is technologist with over two decades of diverse experience building and maintaining complex systems, including high performance computing (HPC) environments. Since 2014 he has focused on graph databases, especially in distributed or big data environments, and he regularly blogs and speaks at conferences about graph databases.

Read more less

Python Workout presents 50 exercises designed to deepen the reader’s skill with Python. Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks. Key Features 50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions Intended for readers with basic Python skills. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity. Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, “At the Forge,” for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi’in, Israel, and can be reached at https://lerner.co.il/ or on Twitter at @reuvenmlerner.

Read more less

To create their own voice "skills," users need to learn some new device toolkits, the basics of Voice UI design, and some emerging best practices for building and deploying on these diverse platforms. Voice Applications for Alexa and Google Assistant guides readers in the exciting world of designing, building, and implementing voice-based applications for Amazon Alexa or Google Assistant! They learn how to build their own "skills"—the voice app term for actions the device can perform—from scratch. Key Features · Designing a voice interaction model · Fulfilling skills via a serverless platform like AWS Lambda · Connecting a skill to a database Audience Written for JavaScript developers interested in building voice-enabled applications. No prior experience required! Author Bio Dustin A. Coates is a web developer and web development instructor. He has taught hundreds of students online and offline at General Assembly. Dustin also developed popular courses for OneMonth.com and the European non-profit Konexio, which teaches refugees how to code.

Read more less

Description OpenShift, an innovative enterprise infrastructure management system from RedHat, radically simplifies the day-to-day operation of deploying and maintaining large-scale applications. OpenShift in Action teaches readers how to set up and manage container-based infrastructure using OpenShift. Along the way, they’ll discover techniques for handling persistent storage and best practices for security and other fundamental tasks. Key features · Teaches from the ground up · Hands-on examples · Covers troubleshooting best practices Audience Written for operations engineers and developers with experience in a Linux-based distributed environment. About the technology The OpenShift container management platform (CMP) uses Docker, Kubernetes, and other container-oriented technologies to ease cluster management, scaling, and upgrades.

Read more less

Traditional web dev stacks use a different programming language in every layer, resulting in a complex mashup of code and frameworks. Developers and businesses love it because it's scalable and cost-effective. End users love it because the apps created with it are fast and responsive. It's a win-win-win! Getting MEAN, Second Edition is completely revised and updated to cover Angular 2, Node 6 and the latest mainstream release of JavaScript ES2015 (ES6). Key features • Completely revised • Hands-on examples • Step-by-step guide Readers should have some web development experience. This book is based on MongoDB 3, Express 4, Angular 2, and Node.js 6, making use of the ES2015 JavaScript syntax. The MEAN stack is a pure JavaScript stack comprised of four main technologies, with a cast of supporting technologies: MongoDB–the database, Express–the web framework, Angular–the front-end framework, and Node.js–the web server.

Read more less

Reading and storing data is a core part of any application, and .NET developers want database access to be easy and intuitive. Entity framework Core is a .NET library designed to simplify data persistence, bridging the mismatch between the different structures of object-oriented code and relational databases. Entity Framework Core in Action teaches developers how to add database functionality to .NET applications with EF Core. Key features · Clear Introduction · Teaches from real-world applications · Hands-on examples Audience This book assumes readers are familiar with .NET development and some understanding of what relational databases are. No experience with SQL needed. About the technology With EF Core, you can access data using abstract objects and properties without tightly coupling your code to the underlying relational database structure. And because it's part of Microsoft's open source .NET Core initiative, EF works on Windows, Linux and MacOS, and even mobile platforms via Microsoft's Xamarin. Author biography Jon Smith is a full-stack software developer and architect who focuses on Microsoft's ASP.NET web applications using Entity Framework (EF) ORM on the server-side, with various front-end JavaScript libraries. Jon is especially interested in defining patterns and building libraries that improve the speed of development of ASP.NET web/database applications.

Read more less

Description Using React Native, developers can build performant cross-platform native apps much easier than ever before, all with a single programming language: JavaScript. React Native in Action gives iOS, Android, and web developers the knowledge and confidence to begin building high quality iOS and Android apps using the React Native framework. By the end, readers will know how to build high quality, cross-platform mobile apps with React Native. Key features · Install and run React Native · Implement React Native components and APIs · Request and send data over the network · Store and retrieve data locally · Test React Native code Audience This book is for beginner to intermediate web, JavaScript, or iOS (Swift/Objective C) developers.

Read more less

DESCRIPTION The days of purely aesthetic design are long gone. Today’s web designers are driven by pertinent questions like these: How will I win the battle of the short attention span? How do I put visitors at ease and provide the information they're consciously (and unconsciously) expecting? How will the design of my site encourage users to engage, browse, or buy? There’s a body of tested psychological principles that can transform digital designs by anticipating and benefiting from how human beings react to stimuli. This scientific approach to the decision making process, attitudes to risk and reward, group influence, and more are a treasure trove ready to be applied to the field of website design. Design for the Mind teaches web designers and developers how to create sites and applications that appeal to our innate natural responses as humans. The book introduces the most immediately relevant and applicable psychological concepts, breaks down each theory into easily-digested principles, then shows how they can be used to create powerful designs. The idea is not to produce a use-by-rote set of patterns for digital persuasion, but to deepen the understanding of why people react in the way they do to design features and approaches. After reading the book, readers should be equipped to make their work more psychologically friendly, engaging, and persuasive. KEY SELLING POINTS Provides insight into creating powerful user focused design Approachable to readers at all stages of their careers Empowers readers to think critically AUDIENCE Web designers, UX designers, Technical architects and anyone involved in customer facing digital products will benefit from the book. ABOUT THE TECHNOLOGY Understanding psychological theory as it applies to digital design allows those studying to become or currently working on design teams to enhance the effectiveness of their craft, speak about how their decisions are informed by psychological theories and research, and improve the likelihood that their product will engage users as intended.

Read more less

DESCRIPTION Modern applications are constantly sending, receiving, and reacting to streams of data including internal messages, user and system events, and sensor input. Reactive Extensions (Rx) is a .NET library that abstracts away the sources of events and provides tools to effectively manage concerns like concurrency, scalability, error handling, and performance. Rx includes more than 600 operators with variants that can composed together to build reactive client and server-side applications that handle events asynchronously in a way that maximizes responsiveness, resiliency, and elasticity. Reactive Extensions in .NET is a step-by-step guide that shows developers how to build event-driven applications using the Rx library. First, it provides an overview of the design and architecture of Rx-based reactive applications. Then, it looks at the rich query capabilities that Rx provides and the Rx concurrency model that allows developers to control asynchronicity of code and processing of event handlers. The book also discusses consuming event streams, using schedulers to manage time, and working with Rx operators to filter, transform, and group events. Readers new to Rx will be able to learn from the ground up and those using Rx will get a deeper look at how to leverage Rx in existing reactive applications. KEY FEATURES • Step-by-step guide • Real life examples using Rx• Great for readers both new to Rx and those already using Rx AUDIENCE Readers should understand OOP concepts and be comfortable coding in C#. ABOUT THE TECHNOLOGY Reactive Extensions (Rx) is a .NET library that abstracts away the sources of events and provides tools to effectively manage concerns like concurrency, scalability, error handling, and performance. Rx includes more than 600 operators with variants that can composed together to build reactive client and server-side applications that handle events asynchronously in a way that maximizes responsiveness, resiliency, and elasticity.

Read more less

　 DESCRIPTION Geospatial data is hard to ignore. Nearly every car, phone, or camera has a GPS sensor, and aerial photos, satellite imagery, and data representing political boundaries, roads, rivers, and streams are available for free download from many websites. Geoprocessing is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source libraries and tools, makes it possible to take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. Geoprocessing with Python teaches how to use the Python programming language along with free and open source tools to read, write, and process geospatial data. It shows how to access available data sets to make maps or perform analyses using free and open source tools like the GDAL, Shapely, and Fiona Python modules. Readers will master core practices like handling multiple vector file formats, editing and manipulating geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. They’ll also learn how to create geospatial data, rather than just consuming it. The book also covers how to manipulate and analyze raster data, such as aerial photographs, satellite images, and digital elevation models. KEY SELLING POINTS Geoprocessing from the ground up Shows how to create custom geoprocessing tools Takes advantage of free and open source tools AUDIENCE Readers need a basic knowledge of Python or a similar programming language. No previous experience with geoprocessing or geospatial data required. Perfect for readers who have used Python with Esri ArcGIS and want to apply their Python skills elsewhere. ABOUT THE TECHNOLOGY Geoprocessing is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source libraries and tools, makes it possible to take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo.

Read more less

DESCRIPTION WMI, Windows Management Instrumentation, provides a standard infrastructure for managing all aspects of Windows-based systems.WMI isn't new, but now that administrators can script it using PowerShell, it's just gotten infinitely easier to use! Taken together, WMI and PowerShell create an extraordinarily powerful mechanism automating the management of servers, networks, and remote Windows computers. PowerShell and WMI is an example-driven guide for administrators managing networks of Windows servers and desktops. With over 150 specific examplesΥXincluding ready-to-reuse scripts and techniquesΥXreaders will learn the ins and outs of automating WMI via PowerShell2. The author provides deep coverage of all aspects of Windows administration, including IIS, DNS and Hyper-V. KEY POINTS „h In-depth guide to PowerShell and WMI „h Packed with over 150 practical, field-tested techniques „h Written by a PowerShell MVP

Read more less

Effective Data Science Infrastructure is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data driven companies to manage their cutting edge data infrastructure. As you work through this easy-to-follow guide, you'll set up end-to end infrastructure from the ground up, with a fully customizable process you can easily adapt to your company. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python. Throughout, you'll follow a human-centric approach focused on user experience and meeting the unique needs of data scientists. About the TechnologyTurning data science projects from small prototypes to sustainable business processes requires scalable and reliable infrastructure. This book lays out the workflows, components, and methods of the full infrastructure stack for data science, from data warehousing and scalable compute to modeling frameworks.

Read more less

To really benefit from the reliability and scalability you get with cloud platforms, your applications need to be designed for that environment. Cloud Native Spring in Action is a practical guide for planning, designing, and building your first cloud native apps using the powerful, industry-standard Spring framework Cloud Native Spring in Action teaches you effective Spring and Kubernetes cloud development techniques that you can immediately apply to enterprise-grade applications. As you develop an online bookshop, you'll learn how to build and test a cloud native app with Spring, containerize it with Docker, and deploy it to the public cloud with Kubernetes. Including coverage of security, continuous delivery, and configuration, this hands-on guide is the perfect primer for navigating the increasingly complex cloud landscape. About the TechnologyModern applications need scalability, resilience, reliability, and zero-downtime. For most large systems, that means you'll take advantage of cloud-based tools and services. For Java developers, Spring helps effortlessly build cloud native, production-ready applications. Combined with Kubernetes, the Spring ecosystem offers numerous built-in features to help out developers migrating or building new cloud native projects efficiently.

Read more less

"If you want to learn some of the deeper explanations of deep learning and PyTorch then read this book!" - Tiklu Ganguly Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorchSelect the right deep learning componentsTrain and evaluate a deep learning modelFine tune deep learning models to maximize performanceUnderstand deep learning terminologyAdapt existing PyTorch code to solve new problems Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped—you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English. about the technologyDeep learning isn't just for big tech companies and academics. Anyone who needs to find meaningful insights and patterns in their data can benefit from these practical techniques! The unique ability for your systems to learn by example makes deep learning widely applicable across industries and use-cases, from filtering out spam to driving cars. about the bookInside Deep Learning is a fast-paced beginners' guide to solving common technical problems with deep learning. Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory. You'll learn how deep learning works through plain language, annotated code and equations as you work through dozens of instantly useful PyTorch examples. As you go, you'll build a French-English translator that works on the same principles as professional machine translation and discover cutting-edge techniques just emerging from the latest research. Best of all, every deep learning solution in this book can run in less than fifteen minutes using free GPU hardware! about the readerFor Python programmers with basic machine learning skills. about the authorEdward Raff is a Chief Scientist at Booz Allen Hamilton, and the author of the JSAT machine learning library. His research includes deep learning, malware detection, reproducibility in ML, fairness/bias, and high performance computing. He is also a visiting professor at the University of Maryland, Baltimore County and teaches deep learning in the Data Science department. Dr Raff has over 40 peer reviewed publications, three best paper awards, and has presented at numerous major conferences.

Read more less

Microservice APIs in Python shares successful strategies and techniques for designing Microservices systems, with a particular emphasis on creating easy-to-consume APIs.This practical guide focuses on implementation over philosophizing and has just enough theory to get you started. You'll quickly go hands on designing the architecture for a microservices platform, produce standard specifications for REST and GraphQL APIs, and bake in authentication features to keep your APIs secure. Written in a framework-agnostic manner, its universal principles of API and microservices design can easily be applied to your favorite stack and toolset. About the TechnologyStandard Python web applications, such as those you'd typically build with Django or Flask, can be hard to scale and maintain when built as monoliths. Microservices design makes it possible to isolate key features and functionality as independently written and maintained services. To take advantage of this more resilient architecture, you need to learn the patterns, frameworks, and tools that make Python-based microservices easy to build and manage.

Read more less

Spring Security in Action shows you how to use Spring Security to create applications you can be confident will withstand even the most dedicated attacks. Starting with essential “secure by design” principles, you’ll learn common software vulnerabilities and how to avoid them right from the design stage. Through hands-on projects, you’ll learn to manage system users, configure secure endpoints, and use, OAuth2 and OpenID Connect for authentication and authorization. As you go, you’ll learn how to adapt Spring Security to different architectures, such as configuring Spring Security for Reactive applications and container-based applications orchestrated with Kubernetes. When you’re done, you’ll have a complete understanding of how to use Spring Security to protect your Java enterprise applications from common threats and attacks. Key Features · The principles of secure by design · The architecture of Spring Security · Spring Security contracts for password encoding, cryptography, and authentication · Applying Spring Security to different architecture styles For experienced Java developers with knowledge of other Spring tools. About the technology Your applications, along with the data they manage, are one of your organization’s most valuable assets. No company wants their applications easily cracked by malicious attackers or left vulnerable by avoidable errors. The specialized Spring Security framework reduces the time and manpower required to create reliable authorization, authentication, and other security features for your Java enterprise software. Thanks to Spring Security, you can easily bake security into your applications, from design right through to implementation. Laurentiu Spilca is a dedicated development lead and trainer at Endava, where he leads the development of a project in the financial market of European Nordic countries. He has over ten years experience as a Java developer and technology teacher.

Read more less

When you're new to Python, it can be tough to understand where and how to use its many language features. There's a dizzying array of libraries, and it's challenging to fit everything together. The Well- Grounded Python Developer builds on Python skills you've learned in isolation and shows you how to unify them into a meaningful whole. The Well-Grounded Python Developer teaches you how to write real software in Python by building on the basic language skills you already have. It helps you see the big picture you can create out of small pieces, introducing concepts like modular construction, APIs, and the design of a basic web server. When you're finished, you'll have gone from having a basic understanding of Python's syntax, grammar, and libraries to using them as the tools of a professional software developer. About the TechnologyPython is the perfect language for beginning programmers. It is easy to learn, with tons of helpful libraries and tools. Better still, it doesn't run out of steam when you want to create more advanced applications for web development or machine learning. Once you've mastered the syntax of simple Python scripts, it can be a challenge to progress to more ambitious projects. This book helps you on that path.

Read more less

GitOps and Kubernetes introduces a radical idea—managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies with the same Git version control tools most developers use daily. GitOps and Kubernetes is half reference, half practical tutorial for operating Kubernetes the GitOps way. Through fast-paced chapters, you’ll unlock the benefits of GitOps for flexible configuration management, monitoring, robustness, multi-environment support, and discover tricks and tips for managing secrets in the unique GitOps fashion. Key Features · Multiple-environments management with branching, namespace, and configuration · Access Control with Git, Kubernetes, and Pipeline · Using Kubernetes with Argo CD, JenkinsX, and Flux · Multi-step deployment strategies like Blue-Green, Canary in a declarative GitOps model For developers familiar with Continuous Delivery principles and the basics of Git and Kubernetes. About the technology The tools to monitor and manage software delivery and deployment can be complex to set up and intimidating to learn. But with the “GitOps“ method, you can manage your entire Kubernetes infrastructure with Git pull requests, giving you a single control interface and making it easy to assess and roll back changes! Billy Yuen, Alexander Matyushentsev, Todd Ekenstam, and Jesse Suen are principal engineers for the Intuit platform. They are widely recognized as industry leads in GitOps for Kubernetes, having presented numerous related talks at industry conferences.

Read more less

Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. about the technologyModern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top performing applications. about the book Parallel and High Performance Computing is an irreplaceable guide for anyone who needs to maximize application performance and reduce execution time. Parallel computing experts Robert Robey and Yuliana Zamora take a fundamental approach to parallel programming, providing novice practitioners the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware. Get under the hood of parallel computing architecture and learn to evaluate hardware performance, scale up your resources to tackle larger problem sizes, and deliver a level of energy efficiency that makes high performance possible on hand-held devices. When you’re done, you’ll be able to build parallel programs that are reliable, robust, and require minimal code maintenance. This book is unique in its breadth, with discussions of parallel algorithms, techniques to successfully develop parallel programs, and wide coverage of the most effective languages for the CPU and GPU. The programming paradigms include MPI, OpenMP threading, and vectorization for the CPU. For the GPU, the book covers OpenMP and OpenACC directive-based approaches and the native-based CUDA and OpenCL languages. what's inside Steps for planning a new parallel project Choosing the right data structures and algorithms Addressing underperforming kernels and loops The differences in CPU and GPU architecture about the readerFor experienced programmers with proficiency in a high performance computing language such as C, C++, or Fortran. about the authors Robert Robey has been active in the field of parallel computing for over 30 years. He works at Los Alamos National Laboratory, and has previously worked at the University of New Mexico, where he started up the Albuquerque High Performance Computing Center. Yuliana Zamora has lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.

Read more less

AI is primed to revolutionize the way we build applications, offering exciting new ways to solve problems, uncover insights, innovate new products, and provide better user experiences. Successful AI is based on a set of core algorithms that form a base of knowledge shared by all data scientists. Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, readers learn the concepts, terminology, and theory they need to effectively incorporate AI algorithms into their applications. Grokking Artificial Intelligence Algorithms uses simple language, jargon-busting explanations, and hand-drawn diagrams to open up complex algorithms. Don’t worry if you aren’t a calculus wunderkind; you’ll need only the algebra you picked up in math class. • Use cases for different AI algorithms • How to encode problems and solutions using data structures • Intelligent search for game playing • Ant colony algorithms for path finding • Evolutionary algorithms for optimization problems For software developers with high school-level algebra and calculus skills.

Read more less

If you think “Modern” and “C” don’t belong in the same sentence, think again. The C standards committee actively reviews and extends the language, with updated published C standards as recently as 2018. In Modern C, author Jens Gustedt teaches you the skills and features you need to write relevant programs in this tried-and-true language, including Linux and Windows, device drivers, web servers and browsers, smartphones, and much more! Modern C teaches you to take your C programming skills to new heights, whether you’re just starting out with C or have more extensive experience. Organized by level, this comprehensive guide lets you jump in where it suits you best while still reaping the maximum benefits. Key Features Fundamentals of C programming Operators and functions Performance techniques C library functions For more than four decades, C has proved its usefulness and staying power for everything from massive systems for mainframes, satellites, and internet browsers to tiny embedded systems in vending machines, credit card readers, and alarm clocks. Today you’ll find lightning-fast, elegant C programs running in smartphone kernels, databases, 3D movies, video games, and scores of other modern applications. For programmers comfortable writing simple programs in a language like Java, Python, Ruby, C#, C++, or C. Jens Gustedt has been a senior scientist at the French National Institute for Computer Science and Control (INRIA) since 1998, working in areas including algorithms, scientific experimentation, models for coarse-grained parallelism, and distributed locking. Currently, he’s conducting the Modular C project, which has given rise to libraries such as arbogast and EiLck.

Read more less

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning • Models for textual similarity • Deep memory-based NLP • Semantic role labeling • Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related projects. He’s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.

Read more less

Description This practical book covers real-world development concerns like state management, data and views, user interaction with forms, and communicating with servers, as well as testing and deploying your applications. This new edition has been fully revised to cover the latest Angular CLI along with current best practices and updates to Angular 5. Angular Development with Typescript, Second Edition is an intermediate-level tutorial that introduces Angular and TypeScript to developers comfortable with building web applications using other frameworks and tools. You'll start by exploring what makes Angular different by building an online auction app. As you move through the chapters, you'll explore TypeScript as you learn to write type-aware classes, interfaces, generics, and more. Key features · Angular CLI · TypeScript programming · Dependency Injection · Creating a modern-looking UI with Angular Material · Reactive programming Audience Written for intermediate web developers. No prior TypeScript or AngularJS experience is required. About the technology Angular's declarative style makes it easy to define and add features without dozens of lines of manually written boilerplate, and the fully integrated TypeScript language gives you the benefits of a statically typed language within the JavaScript ecosystem. Plus, adding Angular and TypeScript to your resume makes you a hot commodity.

Read more less

Serverless Architectures on AWS, Second Edition teaches you how to design, secure, and manage serverless backend APIs for web and mobile applications on the AWS platform. You'll get going quickly with this book's relevant real-world examples, code listings, diagrams, and clearly-described architectures that you can readily apply to your own work. You’ll master serverless systems using AWS Lambda and the myriad other services on the AWS platform. This new edition has been fully updated to reflect the newest serverless design best practices and changes to AWS. It features two entirely new chapters dedicated to DevOps, monitoring, and microservices, as well as working with DynamoDB, GraphQL and Kinesis. Key Features · First steps with serverless computing · The principles of serverless design · Transitioning from servers to services · Writing AWS Lambda functions and using the API Gateway Audience This book is for server-side and full-stack software developers with some experience using Node.js and AWS. Author Bio Peter Sbarski is VP of Engineering at A Cloud Guru and the head organizer of Serverlessconf, the world’s first conference dedicated entirely to serverless architectures and technologies. Throughout his extensive IT career, Peter has led teams across large enterprise solutions with a focus on web and AWS cloud technologies.

Read more less

PowerShell is both a scripting language and an administrative shell that lets users control and manage nearly every aspect of Windows, from Azure to SharePoint. It's also a great platform for building reusable tools and utilities that make everyday administration faster and easier. Inside, readers discover how scripting is different from command-line PowerShell, as they explore concrete hands-on examples. This book includes and expands on many of the techniques presented in Learn PowerShell Toolmaking in a Month of Lunches. Key features • A crash course in PowerShell Scripting • Hands-on examples • Real-world practices Written for developers and administrators comfortable with PowerShell as a command-line interface and familiar with Windows administration in general. PowerShell has a strong ability to create highly reusable, context-independent tools, which it refers to as commands. A command might not be terribly useful by itself, but PowerShell is designed to make it easy to “snap” commands together.

Read more less

Description Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen examples and expand their machine's knowledge which they can then apply to a range of challenges. Key Features • Easy-to-follow • Clear examples • Hands-on-guide Audience A basic understanding of machine learning and some experience with a modern programming language such as Python, Java, C++, or JavaScript will be helpful. About the technology Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and readers can see examples of it in everything from chatbots to the speech-recognition software on their phone. Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans. Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning. Cole Howard is a carpenter and writer turned Deep Learning expert.

Read more less

With cloud platforms like AWS, Azure, and Google Cloud, even small teams can take full advantage of web-scale distributed application patterns and practice. Cloud Native: Designing Change-tolerant Software is the best guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. Key Features · The application lifecycle of Cloud Native apps · Automated configuration management · Multi-tenant services, versioned services, and parallel deploys · Understanding Cloud Native Routing · Managing dependencies between apps and services Requires intermediate programming skill with Java or a similar language. Some experience with server-side development is helpful. About the technology Cloud-native software promises near-zero downtime, shortened feedback cycles, multi-device support, and improved cost control. All this means developers need to learn new skills and techniques, along with a new way of thinking about application design. Cornelia Davis is the Sr. Director of Technology at Pivotal Software. A teacher at heart, Cornelia has spent the last 25 making better software and better software developers.

Read more less

Description With Kubernetes, users don't have to worry about which specific machine in their data center their application is running on. Each layer in their application is decoupled from other layers so they can scale, update, and maintain them independently. Kubernetes in Action teaches developers how to use Kubernetes to deploy self-healing scalable distributed applications. By the end, readers will be able to build and deploy applications in a proper way to take full advantage of the Kubernetes platform. Key features • Easy to follow guide • Hands-on examples • Clearly-written Audience The book is for both application developers as well as system administrators who want to learn about Kubernetes from the developer’s perspective. About the Technology Kubernetes abstracts away the hardware infrastructure and exposes your whole datacenter as a single enormous computational resource.

Read more less

　 DESCRIPTION Modern distributed applications must deliver near-realtime performance while simultaneously managing big data and high user loads spread across environments ranging from cloud systems to mobile devices. Unlike traditional enterprise applications which focus on decoupling their internal components by defining programming interfaces, reactive applications go one step further and decouple their components also at runtime. This makes it possible to react effectively and efficiently to failures, varying user demands, and changes in the application's execution environment. The resulting systems are highly concurrent and fault-tolerant, with minimal dependencies among individual system components. Reactive Design Patterns is a clearly-written guide for building message-driven distributed systems that are resilient, responsive, and elastic. It contains patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka—in some cases, Java, JavaScript, and Erlang. Software engineers and architects will learn patterns that address day-to-day distributed development problems in a fault-tolerant and scalable way. Project leaders and CTOs will gain a deeper understanding of the reactive design philosophy. KEY FEATURES Offers best patterns for building reactive applications All patterns include concrete examples Discover best practices Explains theory behind reactive system design principles AUDIENCE Readers should be familiar with a standard programming language like Java, C++ or C# and be comfortable with the basics of distributed systems. Although most of the book's examples use the Scala language, no prior experience with Scala or Akka is required. ABOUT THE TECHNOLOGY The design patterns in this book were collected by the consultants and engineers of Typesafe during thousands of hours spent building enterprise-quality applications using Scala and Akka. Although many reactive patterns can be implemented using standard development tools like Java, others require the capabilities offered by a functional programming language like Scala and an Actor-based concurrency system like Akka.

Read more less

Windows PowerShell transformed the way administrators and developers interact with Windows. PowerShell, an elegant dynamic language from Microsoft, lets its users script administrative tasks and control Windows from the command line. Because it's a full-featured, first-class Windows programming language, programmers and powerusers can now do things in a shell that previously required VB, VBScript, or C#. Windows PowerShell in Action, Third Edition is a completely revised edition of the bestselling book on PowerShell. It keeps the same crystal-clear introduction to PowerShell as the last edition and adds extensive coverage of v3, v4, and v5 features such as PowerShell Workflows, Desired State Configuration, PowerShell classes and the PowerShell APIs, new error handling and debugging features. It includes full chapters on these topics and also covers new language elements and operators, PowerShell remoting, CIM, events, working with data such as XML and flat files, The Second Edition's coverage of batch scripting and string processing, COM, WMI, and .NET have all been significantly revised and expanded. The book includes many popular usage scenarios and is rich in interesting examples that will spark the reader’s imagination. Key Features• Crystal-clear introduction to PowerShell • Extensive coverage of v3, v4, and v5 features • Includes many popular usage scenarios • Rich in interesting examples that spark the imagination • The definitive book on PowerShell AUDIENCE Written for developers and administrators with intermediate level scripting knowledge. No prior experience with PowerShell is required. ABOUT THE TECHNOLOGY Windows PowerShell is an elegant, dynamic language from Microsoft, that lets developers and administrators script administrative tasks and control Windows from the command line.

Read more less

Build powerful, production-ready search applications using the incredible features of Elasticsearch. In ElasticSearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of Elasticsearch Installing, configuring and running Elasticsearch and Kibana Creating an index with custom settings Data types, mapping fundamentals, and templates Fundamentals of text analysis and working with text analyzers Indexing, deleting, and updating documents Indexing data in bulk and reindexing and aliasing operations Learning search concepts, relevancy scores and similarity algorithms Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You'll deep dive into design principles, search architectures, and Elasticsearch's essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You'll even explore real-world use cases for full text search, data visualisations, and machine-learning. about the technology Modern search seems like magic. You type a few words and the search engine appears to know what you want. With the Elasticsearch near-real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work. about the book Elasticsearch in Action, Second Edition is a hands-on guide to developing fully functional search engines with Elasticsearch and Kibana. Rewritten for the latest version of Elasticsearch, this completely new second edition explores Elasticsearch's high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs. It covers dozens of awesome techniques, such as: Developing a multitude of search queries Working with various query types Enabling search results with sorting and pagination functionality Writing and working with advanced search queries Working analytics and aggregations Developing high level visualizations in Kibana Configuring and scaling the clusters, and tuning performance You'll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. By the time you're done, you'll be ready to build amazing search engines for your clients that take advantage of Elasticsearch's modern features. about the author Madhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack.

Read more less