Search results for ""author manny"

Description AWS gives users the networking, compute, and security services they need without making them pay for anything they’re not actually using. With almost a hundred individual AWS services, putting all the pieces together is not a simple thing. That's where this book can help. Learn Amazon Web Services in a Month of Lunches guides readers through the process of building a robust and secure web application using the core AWS services they really need to know. When they’re done, readers will be comfortable with the basics, and know exactly where to look when they’re ready for more. Key features • Bite-sized lessons • Step-by-step guide • Thorough introduction • Hands-on examples Audience This book is for developers, system administrators, or anyone looking for an introduction to using AWS cloud. A basic understanding of TCP/IP networking is helpful, but not required. About the Technology Amazon Web Services is, by all metrics, the giant of the cloud computing world. Not only does it dominate in terms of user adoption and market share, but its innovative and highly integrated services have defined the way networked digital services are delivered.

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DESCRIPTION Types are often seen as a tool for checking errors, with the programmer writing a complete program first and using the type checker to detect errors. And while tests are used to show presence of errors, they can only find errors that you explicitly test for. In typedriven development, types become your tools for constructing programs and, used appropriately, can show the absence of errors. And you can express precise relationships between data, your assumptions are explicit and checkable, and you can precisely state and verify properties. Type-driven development lets users write extensible code, create simple specifications very early in development, and easily create mock implementation for testing. Type-Driven Development with Idris, written by the creator of Idris, teaches programmers how to improve the performance and accuracy of programs by taking advantage of a state-of-the-art type system. This book teaches readers using Idris, a language designed from the very beginning to support type-driven development. Readers learn how to manipulate types just like any other construct (numbers, strings, lists, etc.). This book teaches how to use type-driven development to build real-world software, as well as how to handle side-effects, state and concurrency, and interoperating with existing systems. By the end of this book, readers will be able to develop robust and verified software in Idris and apply type-driven development methods to programming in other languages. KEY FEATURES• Written by the creator of Idris • Improve performance and accuracy of programs • Teaches Idris, a new type-driven development language • Hands-on code examples • Build real-world software AUDIENCE Written for programmers with knowledge of basic functional programming concepts. ABOUT THE TECHNOLOGY Type-driven development lets you write extensible code, create simple specifications very early in development, and easily create mock implementation for testing. In type-driven development, types become your tools for constructing programs and, used appropriately, can show the absence of errors.

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Learn Python the fun and easy way with your new friends Erik and Simon! A Pythonic Adventure, is a unique Python beginners guide, written especially for young people. This colorful book uses engaging questions and lively conversations to introduce computer programming to young readers one step at a time. There are no boring lessons or dull exercises; instead, you will team up with two brothers, Erik and Simon, who are busy talking about Python programming and asking the same questions you are! As you follow along, you will learn from the brothers' mistakes, discover how to write programs with a team, and get a chance to create applications you can use in your daily life. All code in this book runs on Mac, Windows, Linux, and Raspberry Pi. The engaging questions and lively conversations in the book will help you learn useful Python skills like: Installing Python Working with files Creating text-based dialog boxes and menus Using if/then, loops, list, dictionaries, and input/output Building web applications Making your web apps look super professional It's fun to learn with friends! Join them as they chat about the language, learn the basics, and build some cool programs. It's the perfect way for young programmers (and their parents!) to get started. About the technology Python is one of the best languages for new programmers! Its creators designed it to be easy to learn and easy to use. But Python isn't just a language for beginners — it is used for all sorts of things, from web apps to artificial intelligence! Open up this fun, friendly guide and you will see just how easy it is to get started with Python.

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Get ready to code like a pro in Rust! This hands-on guide dives deep into memory management, asynchronous programming, and Rust design patterns and explores essential productivity techniques like testing, tooling, and project management. In Code Like A Pro in Rust you will learn: Essential Rust tooling Core Rust data structures Memory management Design patterns for Rust Testing in Rust Asynchronous programming for Rust Optimized Rust Rust project management Code Like A Pro in Rust is a fast-track guide to building and delivering professional quality software in Rust. You'll upgrade your basic knowledge of Rust with conventions, best practices, and veteran's secrets that are normally only learned through years of experience. Skip the fluff and get right to the heart of this powerful modern language, including Rust's support for asynchronous programming and integrating Rust with codebases written in other languages. about the technology Programmers prize Rust for its safety, performance, and security. However, its strict syntax and tricky memory management can make it challenging to master. This practical guide shows you how to balance Rust's trade offs, lessen its cognitive load, and rapidly bring your productivity to a professional level. about the book Code Like a Pro in Rust shows you how to quickly create and ship Rust programs without wasting time on language quirks, compiler problems, and unexpected complexities. It builds on your existing Rust knowledge with design patterns and shortcuts direct from veteran Rust contributor Brenden Matthews. You'll learn to use important Rust tooling like rust-analyzer, Clippy, and Cargo, as well as best practices for unit testing and code optimization. By the time you're done, you'll be writing high quality code with less maintenance overhead. RETAIL SELLING POINTS • Essential Rust tooling • Core Rust data structures • Memory management • Design patterns for Rust • Testing in Rust • Asynchronous programming for Rust • Optimized Rust • Rust project management AUDIENCE For aspiring Rust pros familiar with the basics of the language.

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Guarantee the quality and consistency of your web APIs by implementing an automated testing process. In Testing Web APIs you will: Design and implement a web API testing strategy Set up a test automation suite Learn contract testing with Pact Facilitate collaborative discussions to test web API designs Perform exploratory tests Experiment safely in a downloadable API sandbox environment Testing Web APIs teaches you to plan and implement the perfect testing strategy for your web APIs. In it, you'll explore dozens of different testing activities to help you develop a custom testing regime for your projects. You'll learn to take a risk-driven approach to API testing, and build a strategy that goes beyond the basics of code and requirements coverage. about the technology To other developers, your API is the face of your application. Thorough, well-designed testing ensures that your APIs will perform as expected, every time. Impeccable API testing goes beyond the basics of code coverage, to encompass documentation and design that sends the right information to your third-party users. A robust testing strategy helps you avoid costly errors that can damage your revenue, your reputation, and your user's trust. about the book In Testing Web APIs you'll develop a diverse testing program that gets your whole team involved in ensuring quality. This practical book demystifies abstract strategic concepts by applying them to common API testing scenarios, revealing how these complex ideas work in the real world. It fully covers automation techniques like functional API automation, contract testing, and automated acceptance test-driven design that will save your team's time. You'll map the potential risks your API could face, and use those risks as a launching point for your testing activities. A good strategy has a mix of focuses, so you'll master a wide range of API testing techniques like exploratory testing and live testing of production code. A downloadable API sandbox lets you go hands-on and experiment in a safe environment. You'll soon be ready to implement a strategy that ensures API quality and makes testing a real asset to your team.

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Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It's filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You'll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don't need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal the relationships in your data. Tracking these interlinking connections reveals new insights and influences and lets you analyze each data point as part of a larger whole. This interconnected data is perfect for machine learning, as well as analyzing social networks, communities, and even product recommendations. about the book Graph Algorithms for Data Science teaches you how to construct graphs from both structured and unstructured data. You'll learn how the flexible Cypher query language can be used to easily manipulate graph structures, and extract amazing insights. The book explores common and useful graph algorithms like PageRank and community detection/clustering algorithms. Each new algorithm you learn is instantly put into action to complete a hands-on data project, including modeling a social network! Finally, you'll learn how to utilize graphs to upgrade your machine learning, including utilizing node embedding models and graph neural networks.

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Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more. In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue. Key Features · Understanding Kafka's concepts · Implementing Kafka as a message queue · Setting up and executing basic ETL tasks · Recording and consuming streaming data · Working with Kafka producers and consumers from Java applications · Using Kafka as part of a large data project team · Performing Kafka developer and admin tasks Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required. About the technology Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka. Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry.

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　 DESCRIPTION Data Science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to machine learning, but the prerequisite knowledge and experience for this career can seem bewildering. This book is designed to help anyone who wants to learn more about data science get started. Introducing Data Science teaches readers how to accomplish the fundamental tasks that occupy data scientists. They’ll use the Python language and common Python libraries as they experience firsthand the challenges of dealing with data at scale. They’ll discover how Python allows them to gain insights from huge data sets that need to be stored on multiple machines, or for data moving at such speed no single machine can handle it. After reading this book, readers will have a solid foundation to consider a career in data science. KEY SELLING POINTS Master big data with Python and become a data scientist How to use data science in a big data world Gain hands on experience with the most common Python data science libraries AUDIENCE This book assumes readers (software engineers, business intelligence reporters, database moderators, statisticians, web developers, anyone interested in Big Data) are comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required. ABOUT THE TECHNOLOGY At its core, data science is a set of concepts and techniques for extracting meaning and clarity from enormous stored data sets or fast-moving data streams. Data scientists write programs to interpret these data. The Python programming language is a favorite tool of data scientists because it's easy to read and write, and it provides several high-value libraries that simplify core tasks like statistics, machine learning algorithms, and mathematics.

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　 DESCRIPTION Technical debt is best understood as the work remaining before a job can be considered complete. It is one of the worst bottlenecks when it comes to creating value with software and the ability to deal with it is often the difference between a great business and closing the shop. The Mikado Method is a process which systematically eliminates technical debt. It gets its name from a simple game known as "pick-up sticks." Starting with a jumbled pile of sticks, the goal is to remove the Mikado, or Emperor, stick without disturbing the others. Players carefully remove sticks one at a time, leaving the rest of the heap intact, slowly exposing the Mikado. The game is a great metaphor for eliminating technical debt—carefully extracting each intertwined dependency until successfully resolving the central issue. The Mikado Method describes a pragmatic and straightforward method to plan and perform non-trivial technical improvements on an existing software system. Step by step, readers will identify the scope and nature of technical debt, map the key dependencies, and determine the safest way to approach the "Mikado"—the goal. A natural byproduct of this process is the Mikado Graph, a minimalistic, relevant, just-in-time roadmap and information radiator that reflects deep understanding of how the system works. 　 RETAIL SELLING POINTS Written by the creators of the Mikado Method Step-by-step guide with hands on examples Points out sources of technical debts AUDIENCE This book is for software developers with a basic understanding of Java or familiarity with a C-like language. No previous experience with the Mikado Method is necessary. ABOUT THE TECHNOLOGY The Mikado Method offers a way to improve software systems without breaking them or going through long periods of having a half functioning system.

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Master essential best practices for deploying and managing applications on Amazon Web Services. The ideal guide for mid-level developers, DevOps or platform engineers, architects, and system administrators. Amazon Web Services in Action: An in-depth guide to AWS is a comprehensive, practical introduction to deploying and managing applications on the AWS cloud platform. This revised bestseller is packed with techniques for building highly available and scalable architectures and automating deployment with Infrastructure as Code. This book will show you how to: Leverage globally distributed data centres to launch virtual machines with EC2 Store and archive large volumes of data with EBS, S3, and EFS Persist and query data with highly available and scalable database systems with RDS and DynamoDB Enhance performance with caching data in-memory with ElastiCache and MemoryDB Use Infrastructure as Code to automate your cloud infrastructure Secure workloads running in the cloud with VPC and IAM Build fault-tolerant web applications with ALB and SQS Automate common sysadmin tasks with Lambda, CLI, and SDK Build cloud-native applications based on containers with AppRunner, ECS, Fargate About the technology Thousands of developers have chosen Amazon Web Services in Action: An in-depth guide to AWS to help them succeed with the AWS cloud. Readers love this all-practical handbook for its complete introduction to computing, storage, and networking, along with best practices for all core AWS services. Amazon Web Services, the leading cloud computing platform, offers customers APIs for on-demand access to computing services. Rich in examples and best practices of how to use AWS, this Manning bestseller is now released in its third, revised, and improved edition.

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Description Vue.js is a front-end framework that builds on many of the reactive UI ideas introduced in React.js. Vue.js in Action teaches readers to build fast, flowing web UI with the Vue.js framework. As they move through the book, readers put their skills to practice by building a complete web store application with product listings, a checkout process, and an administrative interface! Key features · Add View and ViewModel interactivity · Work with components · Extend Vue.js with custom plugins and directives · Learn data modeling and consuming APIs Audience Written for web developers with beginning to intermediate in JavaScript, HTML, and CSS. About the technologyAs a second-generation reactive UI framework, Vue was designed from the ground up with developer usability in mind. It's far more intuitive than React, featuring a clean event lifecycle, easy two-way data binding, and a common-sense project structure.

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

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

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

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

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

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

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

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

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DESCRIPTION Docker is impossible to ignore. This lightweight container system is easier to deploy and more flexible than traditional VMs. Built for simplicity and speed, it radically reduces your reliance on manual system administration for tasks like configuring servers, creating disposable (and portable!) development environments, and predictably rolling out applications on unknown systems. While the idea behind Docker is simple, it can have a major impact on how software is developed and deployed. Docker in Practice is a hands-on guide to over 100 specific techniques that can be used to get the most out of Docker. Following a cookbook-style Problem/Solution/Discussion format, this practical handbook offers instantly-useful solutions for important areas like effortless server maintenance and configuration, deploying microservices, creating safe environments for experimentation, and much more. The book takes readers from Docker basics to must-have practices like integrating Docker with Continuous Integration process, automating complex container creation with Chef, and orchestration with Kubernetes. KEY SELLING POINTS Proven strategies for using Docker in dev and CI Covers common and explores two of the most important concepts Goes from development to production Walks through varied and often surprising use cases for Docker AUDIENCE Written for developers and devops engineers who have already started their Docker journey and want to use it effectively in a production setting. ABOUT THE TECHNOLOGY Docker is one of the fastest-adopted technologies in software, and when the likes of RedHat, Microsoft and VMWare all partner with a startup you know it’s going to be big. Docker is cheaper, easier, faster, and more powerful than VMs, and it will affect everyone involved in software sooner rather than later.

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HIGHLIGHTThe first book about PostGIS, a lightweight, open source tool that addsgeographic support to the popular PostgreSQL database. PostGIS isused to develop location-based services.DESCRIPTIONFrom mobile phone usage to online shopping and every application inbetween, location is an incredibly important piece of data. PostGIS is ahigh-caliber, open source tool that allows developers to take locationinformation and make it actionable.PostGIS in Action will help both new and experienced database userssolve location-related problems. For those with experience in moretraditional relational databases, this book provides a background invector-based GIS so they can quickly move on to analyzing, viewing,and mapping data. This tutorial includes discussion and examples ofmany real-world uses.KEY POINTSF• The only book devoted entirely to PostG

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Create stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. In D3.js in Action, Third Edition you will learn how to: Set up a local development environment for D3 Include D3 in web development projects, including Node-based web apps Select and append DOM elements Size and position elements on screen Assemble components and layouts into creative data visualizations About the technology D3.js is the powerful JavaScript library behind the most innovative and sophisticated data visualizations on the web today. It provides a simple but powerful data visualization API over HTML, CSS, SVG, and Canvas. Start with a structure, dataset, or algorithm. Mix in D3, and you can programmatically generate static, animated, or interactive images that scale to any screen or browser. You'll be blown away by how beautiful your results can be!

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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

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DESCRIPTION In the cloud computing model, a cluster of physical computers hosts an environment that provides shared services (public and private) and offers the flexibility to easily add, remove, and expand virtual servers and applications. OpenStack is an open source framework that can be installed on individual physical servers to a cloud platform and enables the building of custom infrastructure (IaaS), platform (PaaS), and software (SaaS) services without the high cost and vendor lock-in associated with proprietary cloud platforms. OpenStack in Action offers real world use cases and step-by-step instructions to develop cloud platforms from inception to deployment. It explains the design of both the physical hardware cluster and the infrastructure services needed to create a custom cloud platform. It shows how to select and set up virtual and physical servers, implement software-defined networking, and the myriad other technical details required to design, deploy, and operate an OpenStack cloud in an enterprise. It also discusses the cloud operation techniques needed to establish security practices, access control, efficient scalability, and day-to-day DevOps practices. RETAIL SELLING POINTS Real world examples Thorough step-by-step instruction Shows how to harness the power of OpenStack AUDIENCE The book is perfect systems administrators, developers, and architects interested in the design, construction, and operation of clouds using OpenStack. No prior experience with OpenStack or cloud development required. ABOUT THE TECHNOLOGY OpenStack as a framework for managing, designing, defining, and utilizing cloud resources. There are over 13k OpenStack contributors in over 131 countries. Every major IT vendor has some form of OpenStack representation, even those with directly competing products.

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A long journey is really a lot of little steps. The same is true when you’re learning Python, so you may as well have some fun along the way! Written in a light-hearted style with entertaining exercises that build powerful skills, Tiny Python Projects takes you from amateur to Pythonista as you create 19 bitesize programs. Tiny Python Projects teaches you the big ideas of Python programming through small puzzles, tasks, and games. Each chapter challenges you with a fun new Python program for you to write and run, including a Shakespearean insult generator, an unbreakable password creator, and various text encoders. As you practice core Python language features and coding skills, you’ll also explore the principles of test-driven development by running your programs against a suite of specially designed tests. Key Features · Write command-line Python programs · Process a variety of command-line arguments, options, and flags · Write and run tests for programs and functions · Manipulate Python data structures including strings, lists, tuples, and dictionaries For readers with beginning programming skills in Python or another language. About the technology Simple yet powerful, Python is one of the world’s most popular programming languages. You can use Python to write everything from simple utility programs to complex web applications and deep learning models. Ken Youens-Clark works at the University of Arizona as a senior scientific programmer. He has an MS in biosystems engineering, and has been programming for over 20 years.

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DESCRIPTION　 Google built the Go language from the ground up to simplify the challenges of modern application development. Go is ideal for writing server-side components that route and process data and manage the event-driven nature of modern web applications. Go's instantly-familiar syntax and structure make it easy to build application components from scratch, and a full-featured standard library, along with a growing ecosystem of libraries and frameworks provide an abundance of pre-built functionality so developers can be super-productive quickly. Go Web Programming shows how to build web applications in Go using modern design principles. It provides numerous examples that introduce core concepts like processing requests and sending responses, template engines, and data persistence. It also dives into more advanced topics, such as concurrency, web application testing, and deployment both to barebones servers and PaaS providers. KEY FEATURES  Comprehensive and detailed tour of Go’s powerful features  Step-by step guide for end-to-end Web application development  Tip and tricks for avoiding common pitfalls AUDIENCE Written for Web developers with a working knowledge of the Go language. ABOUT THE TECHNOLOGY Go is a relatively new programming language created to be simple and efficient for writing backend systems. Specifically it is an excellent language for writing web applications. Since its release in 2009, Go has gained tremendous popularity as a programming language for writing *-as-a-Service (Infrastructure-as-a-Service, Platform-as-a-Service, etc.) systems. Go is currently used in production in many companies besides Google, including Dropbox, Square, GitHub, SendGrid, and many others.

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Description Swift is more than just a fun language to build iOS applications with. It features a host of powerful tools that, if you know how to effectively use them, can help create even better apps with clean, crystal-clear code and awesome features. Swift in Depth builds on the reader’s core Swift language skills, introducing them to powerful techniques like using higher-order functions, generics, efficient error handling, and protocol-oriented programming. Key features · Adding advanced Swift features to code · Writing reusable code with generics · Iterators, sequences, and collections Audience Readers should have some prior experience with the basics of Swift. About the technology Apple's Swift is the standard language for iOS and Mac development. It's is a modern marvel—easy to pick up, comfortable to use, and loaded with features. Tjeerd in 't Veen is a senior software engineer and architect who builds iOS apps. Having worked together with many developers, he currently helps creating clean, scalable architectures in the mobile division of a large international banking firm.

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DESCRIPTION Functional programming is a deep and potentially mind-bending discipline. Fortunately, Java developers don't have to master every aspect of FP to get a big boost in the performance, readability, and maintainability of their applications. By learning a few core FP principles, they can write code that's less prone to side effects and unwanted dependencies and which is much better suited to the parallel processing required by modern multi-core and distributed systems. Also, because units of functional code are designed to be modular and independent, FP reduces or eliminates many of the bugs development teams routinely face when managing a large codebase. Functional Programming in Java teaches Java developers how to incorporate the most powerful benefits of functional programming into new and existing Java code. Written to meet the needs of professional Java developers who want to introduce functional programming principles into new and legacy projects, this book uses examples, exercises, and illustrations to teach core FP principles such as referential transparency, immutability, persistence, and laziness. They’ll discover which of the new functionally-inspired features of Java 8 will help in applying FP principles to code—as well as which to avoid. In the end, they’ll be able to think functionally about coding tasks in Java and use FP to make their applications easier to understand, optimize, maintain, and scale. KEY FEATURES • Increases productivity • Easy to grasp examples and illustrations • Written for professional Java developers AUDIENCE Readers need to be comfortable with Java programming. No previous experience with functional programming is required. ABOUT THE TECHNOLOGY Functional programming is gaining momentum, mainly through adoption of new languages such as Scala, Clojure or Groovy, and through the new popularity of older languages such as Haskell or Erlang. And functional programming is coming to Java 8 with the addition of features such as lambda expressions, and Streams.

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DESCRIPTION Most software applications must handle user or system-generated events. The most widely-accepted event handling model is the Observer pattern, in which an object "listens" for changes in the application's state and then reacts by executing a unit of code—the problems is that this approach is prone to bugs. Functional Reactive Programming (FRP) is an alternative to the Observer pattern. It’s designed to deal with events as a stream of values over time rather than as a series of unique responses to discrete changes in state, keeping logic tidy and eliminating the bugs that plague event handling code with no loss of expressiveness. FRP is useful anywhere the Observer pattern is common, including user interfaces, video games, networking, and industrial applications. Functional Reactive Programming teaches the concepts and applications of FRP. It begins with a careful walk-through of the FRP core operations and introduces the concepts and techniques needed to use FRP in any language. Following easy-to-understand examples, readers will learn how to use FRP in greenfield applications and how to refactor existing applications. Along the way, the book introduces the basics of functional programming in a just-in-time style, so readers never learn anything before they need to use it. By the end of the book, readers will be able to use FRP to spend more time adding features and less time fixing problems. KEY SELLING POINTS Step by step guide to developing FRP applications Think differently about data and events Spend less time fixing problems and more time adding features AUDIENCE This book presents examples in Java, C++, and JavaScript using the Sodium, Flapjax, and BaconJS libraries. No prior experience with functional programming is required. ABOUT THE TECHNOLOGY Reactive programming is a broad concept, where programs are event-based and viewed as a data flow. Functional Reactive Programming is a specific type of reactive programming that improves the quality of interactive applications, allowing developers to spend more time adding features and less time fixing problems.

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This invaluable addition to any data scientist’s library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. Practical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Key features • Data science and statistical analysis for the business professional • Numerous instantly familiar real-world use cases • Keys to effective data presentations • Modeling and analysis techniques like boosting, regularized regression, and quadratic discriminant analysis Audience While some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science. About the technology Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day Nina Zumel and John Mount are co-founders of Win-Vector LLC, a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com.

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DESCRIPTION Simple Build Tool: sbt. The idea of a high quality build tool for Scala is indeed simple, but sbt itself is richly-featured and powerful. Documentation for sbt is sparse, and the blogs, tutorials, and other bits scattered across the web demand a comprehensive, accurate picture of how to build Scala projects effectively and efficiently. This book will help transform ugly, complex builds into a streamlined, automated, and repeatable process. SBT in Action is first and foremost a tutorial about effectively building Scala projects. It introduces the sbt tool with a simple project that establishes the fundamentals of running commands and tasks. Next, it shows how to use the peripheral libraries in sbt to make common tasks simpler. This includes an I/O library to deal with files and how to parse user input in a meaningful fashion. Finally, it covers how to deploy software effectively. RETAIL SELLING POINTS Comprehensive and detailed guide Fills in the gaps of information on sbt Shows how to tame unwieldy complex builds AUDIENCE This book assumes readers are comfortable reading and writing Scala code. No experience with sbt required. ABOUT THE TECHNOLOGY Known as the de-facto Scala build tool, sbt is used to build other pieces of software. It uses Scala as its lingua franca, which means that all settings and files are typesafe by default, providing a level of safety in builds that is uncommon.

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DESCRIPTION Web apps shouldn't be hard to build, right? The developers of Grails agree. This hyper-productive open-source web framework offers "code by convention", leaving developers to focus on what makes their app special. Through its use of Groovy, it gives a powerful, Java-like language and full access to all Java libraries. Grails in Action is a comprehensive guide to the Grails framework. First, it covers the basics: the domain model, controllers, views, and services. Then, the fun! It dives into a Twitter-style app with features like AJAX/JSON, animation, search, wizards—even messaging and Jabber integration. It also offers loads of great plugins that'll make apps shine. RETAIL SELLING POINTS Fast track to super productivity Covers Grails 2.1 from the ground up Tons of tips and tricks from the trenches AUDIENCE No Java or Groovy background is required, but it is helpful for readers to have a background in web development and knowledge of an object-oriented language. ABOUT THE TECHNOLOGY Grails is an open source web application framework which uses the Groovy programming language. This hyper-productive open-source web framework lets developers "code by convention", leaving them to focus on what makes their apps special.

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Computer savvy kids and can be found surfing the web, chatting with friends, downloading music, and playing games - all at the same time. Many, however, want to do more. Not only do they want to use computers to stay connected to the world, they want to understand what makes them work, and they want to make computers work for them; they want to learn programming. Warren and Carter Sande, a father and son team, created just the book to get them started. Hello World! Second 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 first edition, Hello World! Second 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. Uses free open source software Makes programming fun and easy to use Contains lots of pictures, cartoons, and fun examples Hello World! Second Edition is printed in full color Readers don’t have to have any programming experience, but they should know the basics of using a computer. This book uses Python version 2.7.3. It’s free open source software available for different platforms, including Windows, Linux, and Mac. Python is a programming language that is one of the easiest to read, write, and understand. Python is not just for beginners though. It used by programmers at places like NASA and Google, so once learned, it’s a language that can expand to match the novice programmer’s growing expertise. It also serves as a great foundation for learning many other programming languages.

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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.

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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.

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Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development—and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you’ll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Key features Cloud AI from development to production Applying cloud AI services to your existing platform Understanding orchestration patterns for cloud AI systems How to architect and build scalable, resilient data pipelines Audience For software developers with intermediate skills in at least one programming language and a basic understanding of IP networking and HTTP protocol. About the technology Artificial Intelligence (AI), a machine’s ability to learn and make predictions based on patterns it identifies, is already being leveraged by businesses around the world in areas like targeted product recommendations, financial forecasting and resource planning, customer service chatbots, healthcare diagnostics, data security, and more. Peter Elger is the founder and CEO of fourTheorem, a software solutions company providing expertise on architecture, development, DevOps, and machine learning. He is also the cofounder and CTO of two other companies: nearForm, a Node.js consultancy, and StitcherAds, a digital advertising platform. He is a regular conference speaker and coauthor of The Node Cookbook as well as several academic papers. Eoin Shanaghy is the cofounder and CTO fourTheorem and the founder of Showpiper, a machine learning-driven video content marketing startup. He previously created real-time trading applications for Fortis Bank and developed Hewlett-Packard's enterprise application server as well as 3G network management systems for Ericsson and Arantech (now Netscout). Johannes Ahlmann is the founder and CEO of Sensatus.io, a Machine Learning company specialized in large-scale Web Crawling, Market Intelligence and On-Premise AI solutions. He previously created Information Extraction solutions as Head of Data Science at ScrapingHub, and created responsive mobile solutions at Dell EMC.

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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.

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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.

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　 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.

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DESCRIPTION Clojure is a dialect of Lisp that runs on both the JVM and anywhere that JavaScript runs. It combines the nice features of a scripting language with the powerful features of a production environment—features like persistent data structures and clean concurrency primitives that are needed for industrial-strength application development. The Joy of Clojure, Second Edition has been fully updated to cover the new and improved features of Clojure 1.5. It goes beyond the syntax, and shows how to write fluent, idiomatic Clojure code. Readers will learn to approach programming challenges from a functional perspective and master the Lisp techniques that make Clojure so efficient and elegant. It also tackles hard software areas like concurrency, interoperability, performance, and more. RETAIL SELLING POINTS Tells the "why" and "how" of Clojure Covers the new and improved Clojure 1.5 Teachers elegant application design AUDIENCE Written for programmers coming to Clojure from another programming background—no prior experience with Clojure or Lisp is required. ABOUT THE TECHNOLOGY Clojure is a powerful general purpose programming language that has powerful features supporting functional programming and multicore computation. It targets the Java Virtual Machine and modern JavaScript engines and provides easy access to host libraries, while providing an agile LISP-like environment.

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HIGHLIGHT A fast-paced, hands-on tutorial that both teaches and entertains readers as they learn Flex 4 while building a complete application. DESCRIPTION Flex 4 is an open-source tool that allows developers to easily add life to web applications with dynamic user features, colorful transitions, and eye-catching animations. Flex also provides powerful data handling for industrial-strength applications. We think it should be just as much fun to learn Flex as it is to use it. And we know that fun learning gets better results. Hello! Flex 4 demonstrates how to get started without getting bogged down in technical detail or academic edge cases. In this book, User Friendly cartoon characters offer commentary and snide side comments, as the book moves quickly from Hello World into practical techniques. Each one is illustrated with a hands-on example. Along the way, readers will build a unique Flex application that mashes Yahoo Maps with Twitter to keep track of friends. KEY POINTS • Demonstrates a complete application built over the course of the book • Entertaining style with User Friendly graphics • Accessible to HTML or web developers without programming experience

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A concise introduction to Hibernate¹s many configuration and design options, this book distills Hibernate into digestible pieces with many code examples, practical usage scenarios, and coverage of the tools available to developers writing Hibernate applications. Using a crawl, walk, run teaching methodology, developers will learn what Hibernate is, what it can do, and how it can be used effectively. New Hibernate features are covered and the provided code examples are incrementally evolved as new concepts are introduced. The examples included would execute from Ant and run as JUnit test cases. An understanding of JUnit is not required and running the code as a series of test cases allows for the easily demonstrated functionality without resorting to a complicated web application. How Hibernate can work with other common development tools and frameworks like XDoclet, Struts, Webwork, Spring, and Tapestry is also discussed as well as writing mapping files and creating associations

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How to create the next generation of cutting-edge web interfaces.Ajax exploded on the scene in the Spring of 2005 when a web site defined the term and Google released Google Maps and GMail, powerful examples of what Ajax can do. Ajax uses familiar web technologies - DHTML, CSS, DOM, and JavaScript - in radically different ways resulting in a much richer user experience. The key to success lies in knowing how to orchestrate them as a coherent whole, splitting off parts of what is normally done by the server and putting it into the browser for instantaneous response to user input. Ajax allows a new breed of web applications with the rich expressiveness of desktop applications.This book helps developers realize that promise - it explains the big picture and how to unlearn many old coding habits. It explains the design patterns and best practices to create a live interface for the user, not get in his way. It also discusses important Ajax issues: how to make good use of ne

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To create web designs that delight, entertain, and impress your users, you need to know CSS in depth!Getting good—really good—at CSS means learning everything that CSS is capable of. This totally revised new edition of CSS in Depth expands your CSS skills with the patterns, layouts, and methods you need to deliver truly beautiful front ends. In CSS in Depth, Second Edition you will learn how to:• Create a web page with layout methods • Develop essential website components, like dropdown menus and dialog boxes • Make your website fully responsive across devices • Organize your CSS for easy future maintenance • Implement designer mockups with attention to detail • Use animations to guide user focus • Avoid common CSS pitfalls The more you know about CSS, the more confident you’ll be at tackling any tricky website design! CSS in Depth has given thousand

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Slinging excellent code is only part of what it takes to succeed as a software developer. You also need to know how to work effectively on a dev team. Code Well with Others is a best practices guide for succeeding on a software development team. Code Well with Others reveals how to optimize both your code and your career, including how to achieve a good work-life balance and write the kind of bug-free code delivered by pros. Build your understanding of testing techniques and tools, get in the habit of meaningfully commenting on code, and discover how proper refactoring can speed up how quickly you deliver features. About the TechnologyEveryone new to the software industry has had to navigate through vague job descriptions, gatekeeping colleagues, and the steep learning curve of coding as part of a team. This book shares twenty years of hard-won lessons, to show you what to expect in tech and how to overcome these common career challenges.

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Spring Boot in Practice covers dozens of handy Spring Boot development techniques, from basic functions to hidden features you probably didn't even know existed. Each recipe is built around a realworld problem, complete with a full solution and thoughtful discussion. You'll work your way from fundamentals to advanced functionalities as you take deep dives into auto-configuration, security implementation, and even support for reactive application development. Learn how to work with Spring Boot and Kotlin, handling connections for multiple platforms, and how Spring Boot can simplify building microservices and APIs. You're sure to keep this practical book on hand as a reference as you build your next Spring Boot apps. About the TechnologySpring is the most popular Java framework for building medium- to enterprise-scale applications. Spring Boot abstracts away complex configurations so you can stay focused on fulfilling business requirements. More than just a “must-learn” technology for anyone building Java-based web applications, Spring Boot has become a “must-master” framework.

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