Search results for ""manning publications""

Description Manning's bestselling Java 8 book has been revised for Java 9! In Java 8 and 9 in Action, readers build on their existing Java language skills with the newest features and techniques. The release of Java 9 builds on what made Java 8 so exciting. In addition to Java 8's lambdas and streams, Java 9 adds a host of new features of its own. It includes new library features to support reactive programming, which give users new ways of thinking about programming and writing code that is easier to read and maintain. Key Features · Contains all of Java 9’s new features · The Java Module System · Testing and debugging with lambdas Audience This book is written for programmers familiar with Java and basic OO programming. About the Technology Java 9 introduces the long-awaited Java Module System. Modules encourage users to write their code in smaller units that are easier to test, manage and release. Java 9 also helps programmers by enriching the functional-programming and streams features of Java 8.

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

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

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"An absolutely wonderful book for someone that has tried and failed to understand functional programming." - William E. Wheeler Grokking Functional Programming is a practical book written especially for object-oriented programmers. It will help you map familiar ideas like objects and composition to FP concepts such as programming with immutable data and higher-order functions. You will learn how to write concurrent programs, how to handle errors and how to design your solutions with modularity and readability in mind. And you'll be pleased to know that we skip the academic baggage of lambda calculus, category theory, and the mathematical foundations of FP in favor of applying functional programming to everyday programming tasks. At the end of the book, you'll be ready to pick a functional language and start writing useful and maintainable software. about the technologyFunctional programming is more than just writing the same old code in Scala, Clojure, or Haskell. To grok FP—to really get it—you need to rewire your brain to see the world differently. We're here to help you flip the switch. Grokking Functional Programming teaches you first to break down problems in a new way so you can approach them from a FP mindset. Following carefully-selected examples with thorough, carefully-paced explanations, you'll immerse yourself in FP concept by concept. Along the way, exercises, checks for understanding, and even the occasional puzzler give you opportunities to think and practice what you're learning. what's insideDesigning with functions and types instead of objectsMultiple learning approaches to help you grok each new conceptA practical programming-first teaching styleProgramming with pure functions & immutable valuesWriting concurrent programs with a functional styleTesting functional programs about the readerThe book assumes that the reader has at least one year of experience developing software using a mainstream object-oriented programming language like Java. While examples use Scala, this is not a Scala book. The concepts will apply to any FP language, and no prior knowledge of Scala or FP is required. about the authorMichał Płachta started using Scala commercially in 2014 and has been an active contributor to the Scala and JVM communities since. He regularly speaks at conferences, runs workshops, and organizes meetups to help others become better at functional programming. You can find his blog at michalplachta.com.

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DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from multiple sources. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, resiliency, and advanced stream patterns. KEY FEATURES • Building data-driven applications that are easier to design,deploy, and maintain• Uses real-world examples and techniques• Full of figures and diagrams• Hands-on code samples and walkthroughs This book assumes that the reader has written some Java code. SomeScala or Python experience is helpful but not required. ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain. AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform.

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DESCRIPTION Functional programming (FP) is a programming style emphasizing functions that return consistent and predictable results regardless of a program's state. As a result, functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs. Scala is an emerging JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with existing Java libraries make Scala a great place to start learning FP. Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, they’ll find concrete examples and exercises that open up the world of functional programming. RETAIL SELLING POINTS Covers the practical benefits of Functional Programming Offers concrete examples and exercises Logically progresses from basic techniques to advance topics AUDIENCE No prior experience with FP or Scala is required. Perfect for programmers familiar with FP in other languages wishing to apply their knowledge in Scala. ABOUT THE TECHNOLOGY Functional programming (FP) is a programming style emphasizing functions that return consistent and predictable results regardless of a program's state. Scala is an emerging JVM language that offers strong support for FP.

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

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Learn statistics by analysing professional basketball data! Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. This textbook will upgrade your R data science skills by taking on practical analysis challenges based on NBA game and player data. You will take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. And just like in the real world, you will get no clean pre-packaged datasets in this book. You will develop a toolbox of R data skills including: Reading and writing data Installing and loading packages Transforming, tidying, and wrangling data Applying best-in-class exploratory data analysis techniques Creating compelling visualizations Developing supervised and unsupervised machine learning algorithms Execute hypothesis tests, including t-tests and chi-square tests for independence Compute expected values, Gini coefficients, and z-scores Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. About the technology Amazing insights are hiding in raw data, and statistical analysis with R can help reveal them! R was built for data, and it supports modelling and statistical techniques including regression and classification models, time series forecasts, and clustering algorithms. And when you want to see your results, R's visualisations are stunning, with best-in-class plots and charts.

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

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Azure Infrastructure as Code is a comprehensive guide to seamlessly managing your application infrastructure with Azure's native IaC tools. The book is aimed at supporting collaboration between operations professionals and software developers, to help speed up and improve the quality of software delivery. After you master the basics, you'll dive into niche and advanced topics such as testing, reusing templates between multiple teams, and how you can define policy as code. Discover cutting-edge Deployment Stacks, and how they can help you clean up unused resources, group resources in logical containers to help visualize potential changes, and build starting plateaus for other teams to work on. About the Technology Infrastructure as code does away with time-consuming manual tasks—no more detailed scripts for creating the correct database or virtual machine. Instead, Azure's native IaC tools create infrastructure from a declarative specification in JSON (ARM) or a domain-specific language (Bicep). They empower users to create or recreate complete infrastructures with just a line of code, as well as take advantage of automation tools like Github Actions or Azure Pipelines.

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

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To lead a data science team, you need to expertly articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. In this practical guide, you'll learn leadership techniques the authors have developed building multiple high-performance data teams. In How to Lead in Data Science you'll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company's data strategy. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Throughout, carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and show development areas to help advance your career. Leading a data science team takes more than the typical set of business management skills. You need specific know-how to articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. Whether you're looking to manage your team better or work towards a seat at your company's top leadership table, this book will show you how.

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

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

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Pipelines can be challenging to manage, especially when your data has to flow through a collection of application components, servers, and cloud services. Airflow lets you schedule, restart, and backfill pipelines, and its easy-to-use UI and workflows with Python scripting has users praising its incredible flexibility. Data Pipelines with Apache Airflow takes you through best practices for creating pipelines for multiple tasks, including data lakes, cloud deployments, and data science. Data Pipelines with Apache Airflow teaches you the ins-and-outs of the Directed Acyclic Graphs (DAGs) that power Airflow, and how to write your own DAGs to meet the needs of your projects. With complete coverage of both foundational and lesser-known features, when you’re done you’ll be set to start using Airflow for seamless data pipeline development and management. Key Features Framework foundation and best practices Airflow's execution and dependency system Testing Airflow DAGs Running Airflow in production For data-savvy developers, DevOps and data engineers, and system administrators with intermediate Python skills. About the technology Data pipelines are used to extract, transform and load data to and from multiple sources, routing it wherever it’s needed -- whether that’s visualisation tools, business intelligence dashboards, or machine learning models. Airflow streamlines the whole process, giving you one tool for programmatically developing and monitoring batch data pipelines, and integrating all the pieces you use in your data stack. Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies including Heineken, Unilever, and Booking.com. Bas is a committer, and both Bas and Julian are active contributors to Apache Airflow.

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Voice assistants, automated customer service agents, and other cutting-edge human-to-computer interactions rely on accurately interpreting language as it is written and spoken. Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps. about the technologyNatural language processing is the part of AI dedicated to understanding and generating human text and speech. NLP covers a wide range of algorithms and tasks, from classic functions such as spell checkers, machine translation, and search engines to emerging innovations like chatbots, voice assistants, and automatic text summarization. Wherever there is text, NLP can be useful for extracting meaning and bridging the gap between humans and machines. about the book Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq. In this practical guide, you’ll begin by creating a complete sentiment analyzer, then dive deep into each component to unlock the building blocks you’ll use in all different kinds of NLP programs. By the time you’re done, you’ll have the skills to create named entity taggers, machine translation systems, spelling correctors, and language generation systems. what's inside Design, develop, and deploy basic NLP applications NLP libraries such as AllenNLP and Fairseq Advanced NLP concepts such as attention and transfer learning about the readerAimed at intermediate Python programmers. No mathematical or machine learning knowledge required. about the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He has interned at Google and Microsoft Research, and worked at Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his own consultancy business advising clients, including startups and research institutions.

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

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The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Unlike many Spark books written for data scientists, Spark in Action, Second Edition is designed for data engineers and software engineers who want to master data processing using Spark without having to learn a complex new ecosystem of languages and tools. You’ll instead learn to apply your existing Java and SQL skills to take on practical, real-world challenges. Key Features · Lots of examples based in the Spark Java APIs using real-life dataset and scenarios · Examples based on Spark v2.3 Ingestion through files, databases, and streaming · Building custom ingestion process · Querying distributed datasets with Spark SQL For beginning to intermediate developers and data engineers comfortable programming in Java. No experience with functional programming, Scala, Spark, Hadoop, or big data is required. About the technology Spark is a powerful general-purpose analytics engine that can handle massive amounts of data distributed across clusters with thousands of servers. Optimized to run in memory, this impressive framework can process data up to 100x faster than most Hadoop-based systems. Author BioAn experienced consultant and entrepreneur passionate about all things data, Jean-Georges Perrin was the first IBM Champion in France, an honor he’s now held for ten consecutive years. Jean-Georges has managed many teams of software and data engineers.

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Web APIs are everywhere, giving developers an efficient way to interact with applications, services, and data. Well-designed APIs are a joy to use; poorly-designed APIs are cumbersome, confusing, and frustrating. The Design of EverydayAPIs is a practical, example packed guide to crafting extraordinary web APIs. Author Arnaud Lauret demonstrates fantastic design principles and techniques you can apply to both public and private web APIs. The Design of Everyday APIs introduces you to the challenging and creative world of API design. In this experience-driven guide, you'll learn to think like an API designer, embracing effective practices for requirements gathering, blending business and technical goals, and adopting a consumer-first mindset. You'll master the lifecycle of web API design, including the all-important secure-by-design approach. This book teaches principles that can be applied in any style of API. Most examples are illustrated using REST and the OpenAPI specification. Written for developers with minimal experience building and consuming APIs. Key Features Characteristics of a well-designed API Explore the full API design lifecycle Designing user-oriented APIs Secure APIs by design Evolving existing APIs Validating your API designs Arnaud Lauret is a software architect with 15 years of experience in the banking industry. He has spent a decade using, designing, and building APIs. He’s known on the web as the API Handyman (http://apihandyman.io) and is the creator the API Stylebook (http://apistylebook.com), a collection of resources for API designers.

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

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DESCRIPTION A growing flood of data is aimed at JavaScript applications, and they need be ready for it. As more and more data is received, applications must scale to stay operational. There’s also the problem of latency when data has to be fetched from remote locations. RxJS, or Reactive Extensions for JavaScript, is a library for transforming, composing, and consuming streams of data. RxJS combines reactive and functional programming to give an extensible, asynchronous event handling system for JavaScript. RxJS in Action gives readers the development skills they need to create reactive applications with RxJS. This book is full of theory and practical examples that build on each other and help readers begin thinking in a reactive manner. The book begins by teaching the fundamentals of functional programming, and dives in to the basics of RxJS and what it means to be reactive. Next, it teaches how to build real-world applications with RxJS. The last part of the book tackles the advanced topics to take the reader’s reactive programming skills to the next level, as they will learn how to deal with error handling, unit testing, and the role of RxJS when combined with frameworks such as Angular.js or Cycle.js. Examples in the book use RxJS 5, the latest version of RxJS built with an eye on performance and simplicity. KEY FEATURES • Full of practical examples using real-world applications • Creating readable, easy-to-understand event processing pipelines • Introduces the fundamentals of functional and reactive programming • Transforms bulky, untestable code into modular, testable expressions• Uses the latest version of RxJS AUDIENCE This book is for readers who are comfortable writing and building applications in JavaScript. ABOUT THE TECHNOLOGY RxJS combines reactive and functional programming to give programmers an extensible, asynchronous event handling system for JavaScript. RxJS is ideal for applications with features that have continuous data flows that have to fetch and combine multiple pieces of remote data, auto-complete text boxes, drag and drop, process user input, and more.

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With traditional software unit tests, there’s never a guarantee that an application will actually function correctly in the production environment. When you add microservices, testing becomes even more tricky. Testing Java Microservices teaches readers how to write tests like unit, component, integration, container, contract, chaos, and more. Along the way, it also covers technologies like the Arquillian ecosystem, Wiremock, Mockito, AssertJ, Pact or Gatling. Finally, the book demonstrates how everything fits together into the Continuous Delivery pipeline. Key Features: · Practical hands-on guide · Writing Persistence tests · Teaches test strategies · Shows how everything fits together in the Continuous Delivery Pipeline Readers should be comfortable programming in Java. Experience with testing tools like jUnit is helpful but not required. Some experience in Java EE, Spring and Docker is also helpful. About the Technology: A microservice may consist of several, several hundred, or even several thousand of lines of code. Microservices enable programmers to isolate and scale smaller pieces of an application, rather than the entire application.

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　 DESCRIPTION Distributed systems are unpredictable, and it can be an enormous challenge to manage around potentially-crippling obstacles like hardware failures, unanticipated changes in load, and network issues. Amazon Web Services (AWS) is a platform for hosting distributed applications in a secure, flexible cloud environment. AWS provides a suite of services designed to keep the focus on what an application does instead of the infrastructure required to run it. Whether serving up blog pages, analyzing fast data in real-time, building software as a service, or implementing a massive e-commerce site, AWS provides both a stable platform and services that will scale with every application. Amazon Web Services in Action introduces readers to computing, storing, and networking in the AWS cloud. It starts with a broad overview of AWS, and shows how to spin up servers manually and from the command line. Then, it explores infrastructure automation with the AWS CloudFormation service, where readers can describe a blueprint of their infrastructure as code. Readers will learn how to isolate systems using private networks to increase security, how to use the most valuable AWS managed services available on AWS, and about the benefits of stateless servers. In the end, they’ll look to the AWS model for high availability, scaling, decoupling with queues and load balancers, and fault tolerance. KEY SELLING POINTS Explains the key concepts of AWS Gives an overview of the most important services Allows readers to take full advantage of the AWS platform AUDIENCE Written for developers and DevOps engineers who are moving traditionally-deployed distributed applications to the AWS platform. No experience with AWS is required. ABOUT THE TECHNOLOGY Amazon Web Services is a platform of services in the Cloud to provide everything needed to run applications—from hosting a private blog, to running one of the biggest websites on earth, analyzing data for cancer research, or providing business applications.

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

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

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

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HIGHLIGHTUnlocking Android is a developer-focused tutorial for the Android mobile operatingsystem. Loaded with practical examples, this easy-to-follow book presentspractical techniques that reach far beyond the Android documentation.DESCRIPTIONAndroid is a free, open source, Java-based mobile platform developed by Google.Unlocking Android prepares the reader to embrace the Android mobile platformin easy-to-understand language and builds on this foundation withreusable Java code examples. It’s ideal for corporate developers and hobbyistswho have an interest, or a mandate, to deliver mobile software.The book first covers the big picture so the reader can get comfortable with theAndroid approach to the mobile applications. Then the reader learns to applyAndroid by following the many practical examples. The book concludes withtwo deep and hands

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Imagine a publisher who wants to “stamp” his ebooks on the fly with the nameof the buyer (to discourage sharing). Such a publisher would (and we know onewho does) use iText for the task. Developers looking to enhance web- and otherapplications with dynamic PDF document generation and/or manipulation willfind this book unique in content and readability. Based on ongoing examplesthat encourage learning “in action,” they will finally understand PDF and learnhow to build applications that produce professional, high-quality PDFdocuments. While the basic functionality of iText is easy to acquire, this booklowers the learning curve for more advanced functionality. It explains how to useiText to create/manipulate PDF documents on-the-fly in one or more of thefollowing situations:• Due to time or size, the PDF documents can’t be produced manually.• The content

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Ajax gives web developers the potential to create rich user-centered internetapplications. But Ajax also adds a new level of complexity and sophistication tothose applications. Ajax in Practice tackles Ajax head-on, providing countlesshands-on techniques and tons of reusable code to address the specific issuesdevelopers face when building Ajax-driven solutions.After a brief overview of Ajax, this book takes the reader through dozens ofworking examples, all presented in an easy-to-use cookbook format. Readerswill learn how to implement drag-and-drop interfaces and will discover how tocreate effective navigation strategies for their applications. Unlike a traditionalcookbook, though, Ajax in Practice provides a thorough discussion of eachtechnique presented and shows how the individual components can beconnected to create powerful solutions. A fun “mash-up” chapter concludes the

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WebWork helps developers build well-designed applications quickly by creating re-usable, modular, web-based applications. WebWork in Action is the first book to focus entirely on WebWork, written by its two primary developers. Like a true "Action" book, it is both a tutorial on WebWork and a sourcebook for its use in demanding, real-world applications. The book goes into considerable depth on how to get desirable web features with WebWork. It uses the same basic (continuing) example as in Manning's Hibernate in Action to show how to integrate WebWork with the popular Hibernate persistance framework.

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Reactive applications build on top of components that communicate asynchronously as they react to user and system events. As a result, they become scalable, responsive, and fault-tolerant. Java and Scala developers can use the Play Framework and the Akka concurrency toolkit to easily implement reactive applications without building everything from scratch. Reactive Web Applications teaches web developers how to benefit from the reactive application architecture and presents hands-on examples using Play, Akka, Scala, and Reactive Streams. This book starts by laying out the fundamentals required for writing functional and asynchronous applications and quickly introduces Play as a framework to handle the plumbing of your application. The book alternates between chapters that introduce reactive ideas (asynchronous programming with futures and actors, managing distributed state with CQRS) and practical examples that show you how to build these ideas into your applications.

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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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Critical business applications worldwide are written in the versatile C# language and the powerful .NET platform, running on desktops, cloud systems, and Windows or Linux servers. Code Like a Pro in C# makes it easy to turn your existing abilities in C# or another OO language (such as Java) into practical C# mastery. There’s no “Hello World” or Computer Science 101 basics—you’ll learn by refactoring an out-of-date legacy codebase, using new techniques, tools, and best practices to bring it up to modern C# standards. Each technique is reinforced through coding katas and clean code best practices, locking in the skills you’ll need to tackle any job and ace your next interview. about the technologyC# and the .NET framework are prized for their power, flexibility, and ease of scaling. Line-of-business applications, web systems running ASP.NET, and backend servers powering enterprise data centers all rely on C#. Growing into a C# pro requires practice in real-world systems, where you learn to refactor messy code and integrate new features into existing designs. Code Like a Pro in C# lays out a path to C# mastery, tackling common challenges such as clean coding, idiomatic C#, and .NET Core that can stump aspiring C# software engineers. about the book Code like a Pro in C# builds on your existing programming skills to help you seamlessly upskill your coding practice or transition to C# from Java or another OO language. You’ll learn to write the kind of idiomatic C# code that’s essential for enterprise development, honing your mastery with guided coding katas. This book discusses essential backend skills and puts them into practice with a common career challenge: refactoring a legacy codebase to be secure, clean, and readable. By the time you’re done, you’ll have a professional-level understanding of C# and be ready to start specializing with advanced-level resources. what's inside Test-driven development Refactoring an API to a multi-platform .NET Core service Principles of clean code Using Entity Framework Core and LINQ to query and manipulate databases about the readerFor developers experienced with object-oriented programming. No C# experience required. about the author Jort Rodenburg is a software engineer specializing in C#. He has built software for numerous fields, from financial compliance to inkjet printing. Jort has mentored and taught courses on object-oriented programming to help developers get up to speed with C# and .NET

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The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you’ve learned in previous chapters. By the end of the bookcamp, you’ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technologyMachine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that’s exactly what you’ll be doing in Machine Learning Bookcamp. about the bookIn Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you’ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You’ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you’re done working through these fun and informative projects, you’ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what's inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the readerFor readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.

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Automated testing will help you write high-quality software in less time, with more confidence, fewer bugs, and without constant manual oversight. Testing JavaScript Applications is a guide to building a comprehensive and reliable JS application testing suite, covering both how to write tests and how JS testing tools work under the hood. You’ll learn from Lucas de Costa, a core contributor to popular JS testing libraries, as he shares a quality mindset for making testing decisions that deliver a real contribution to your business. You’ll benefit from informative explanations and diagrams, easily-transferable code samples, and useful tips on using the latest and most consolidated libraries and frameworks of the JavaScript ecosystem. about the technologyNo developer wants to waste time making sure every application feature still works whenever they push new code to production. Thankfully, automated testing delivers quick and precise feedback on whether your application still functions correctly every time you update it. With automated testing, you can validate your application with a single command—and unlike humans, machines don’t forget steps or make mistakes! about the book Testing JavaScript Applications is a guide to creating JavaScript tests that are targeted to your application’s specific needs. Dripping with the insight author Lucas da Costa has developed as a core contributor to some of the most popular JS testing libraries, this book offers dozens of detailed code samples that you can apply to your own projects. You’ll learn how to write tests for both backend and frontend applications, covering the full spectrum of testing types so you can pick an approach that’s right for you. Taking on the role of a developer for a bakery’s web store, you’ll learn to validate different aspects including databases, third-party services, and how to spin-up a real browser instance to interact with the entire application. All examples are delivered using the popular testing tool Jest and modern packages of the JavaScript ecosystem. what's inside Writing practical tests that make a real business contribution Writing tests for both front-end and back-end applications Managing the costs and complexity of your tests Practicing test-driven development Dealing with external dependencies, like databases or third-party APIs Supporting tests by creating a "culture of quality" about the readerFor junior JavaScript developers. No testing experience required. about the author Lucas da Costa is a core maintainer of Chai and Sinon.JS, two of the most popular testing tools in the JavaScript ecosystem. He has also contributed to Jest and other relevant open-source projects. Lucas is committed to a culture of sharing and has spoken at major software engineering conferences, including JSConf Colombia, FluentConf, HolyJS, CityJSConf London, and many others.

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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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Programmer's Guide to Apache Thrift provides comprehensive coverage of the Apache Thrift framework along with a developer's-eye view of modern distributed application architecture. Packed with complete code examples and pragmatic discussion, this book lays the best practices for multi-language distributed application development. You'll take a guided tour through transports, protocols, IDL and servers as you explore complete example programs in C++, Java and Python. You'll also learn how to work with platforms ranging from enterprise servers to mobile clients. About the technology Any distributed application includes individual components, often written in different languages and hosted in multiple locations, which must communicate quickly and efficiently. Apache Thrift is a communication framework that enables cross-language remote procedure calls and serialization. Apache Thrift supports embedded, mobile, web, and server environments and a host of languages ranging from JavaScript to C++. It's perfect for back end services and embedded systems where size, scalability and performance are mission critical. Key Features Clear, concise coverage of all of the primary Apache Thrift features Complete coverage of the Apache Thrift Interface Definition Language Building and serializing complex user defined types Working with plug in serialization protocols and data compression Creating cross-language services Tools and features to enable interface evolution Randy Abernethy is an active Apache Thrift contributor and can be found on the dev and user email lists. A serial entrepreneur, Randy founded Hollywood's first all hard disk recording studio in the early 90s, a direct market access institutional brokerage in the 2000s, and has recently focused on the development of proprietary automated trading systems using Apache Thrift for interoperability.

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DESCRIPTION Gradle is the next step in JVM-based build tools. It draws on lessons learned from established build tools like Ant and Maven, incorporating and improving upon their best ideas, like full flexibility and convention over configuration. In Gradle, problem domains are declaratively modeled using a powerful Groovy DSL instead of cumbersome XML. As a result, builds are far more expressive, extensible, and testable. Gradle in Action is a comprehensive guide to end-to-end project automation with Gradle. Starting with the basics, this practical, easy-to-read book discusses how to build a full-fledged, real-world project. Along the way, it touches on advanced topics like testing, continuous integration, and monitoring code quality. It also covers tasks like setting up target environments and deploying software. RETAIL SELLING POINTS Practical real-world examples Gradle from the ground up Takes software delivery processes to the next level. AUDIENCE No prior experience with Groovy required. This book assumes basic knowledge of Java. ABOUT THE TECHNOLOGY Build automation is key to implementing Continuous Delivery, a hot topic these days. Enterprises want to ship software, fast and repeatable. Gradle, a powerful and expressive build tool, plays an important role as an enabling tool to support the build and deployment process.

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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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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.

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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.

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

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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.

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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

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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.

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