Search results for ""manning""

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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It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics of the game. Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go-playing machine. Key Features · Getting started with neural networks · Building your Go AI · Improving how your Go-bot plays and reacts Audience No deep learning experience required. All you need is high school level math and basic Python skills. This book even teaches you how to play Go! Author Bio Max Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the cofounder of the Deep Learning platform aetros.com. Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and Meebo. Together, Max and Kevin are co-authors of betago, one of very few open source Go bots, developed in Python.

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Description A new generation of serverless tools, including Claudia.js, make it radically easier to set up serverless web applications so users can focus on what their app does instead of meddling with infrastructure configuration and deployment. Serverless Apps with Node and Claudia.js walks readers through building serverless apps on AWS using JavaScript. They’ll learn to simplify the design and development process so they can focus on getting their application deployed as fast as possible without sacrificing quality. Key features · Create a serverless API using AWS Lambda and Claudia.js · Build a voice assistant with Amazon Alexa · Develop microservices with Node.js, AWS Lambda, S3, and more · Create a chatbot for multiple platforms Audience Written for beginner and intermediate web developers comfortable with JavaScript and Node.js. Some prior experience with AWS is required. About the technology Serverless computing services like AWS Lambda and API Gateway can be tedious to set up, aren't designed to work well with JavaScript and Node, and most of the quirks and gotchas aren't well documented. Claudia doesn't alter your project layout or abstract away the core AWS services; it just makes it easier to get started with them!

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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 Although Spring Framework simplifies enterprise Java development, it can require a lot from developers in terms of framework configuration. Spring Boot radically streamlines the process of creating Spring applications by employing automatic configuration, along with a programming model built around established conventions for build-time and runtime dependencies. It also provides a component that gives insight into the internals of a running application and a handy CLI that can be used to write command-line scripts in Groovy. Developers who have used Spring Boot say that they can't imagine ever going back to hand-configuring their applications. Spring Boot in Action is a developer-focused guide to writing applications using Spring Boot. It shows readers how to bypass the tedious configuration steps so that they can concentrate on their application's behavior. Using interesting, relevant examples, Spring expert Craig Walls shows both how to use the default settings effectively and how to override and customize Spring Boot for each unique environment. Along the way, it offers insights from Craig's years of Spring development experience. KEY SELLING POINTS Practical hands-on guide Quickly develop Spring applications Author insights based on years of Spring Development Covers newest features of Spring Boot AUDIENCE Written for readers familiar with the Spring Framework. ABOUT THE TECHNOLOGY Spring Boot brings a convention-over-configuration programming model to the Spring Framework. With Spring Boot, Spring developers can focus on producing application functionality with little effort spent on configuring Spring itself.

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

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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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"I am in awe of this book, it is a very good read and has tons of interesting lessons for any engineer." - Tim van Deurzen Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code. In The Programmer's Brain: What every programmer needs to know about cognition you will learn: - Fast and effective ways to master new programming languages- Speed reading skills to quickly comprehend new code- Techniques to unravel the meaning of complex code- Ways to learn new syntax and keep it memorized- Writing code that is easy for others to read- Picking the right names for your variables- Making your codebase more understandable to newcomers- Onboarding new developers to your team Learn how to optimize your brain's natural cognitive processes to read code more easily, write code faster, and pick up new languages in much less time. This book will help you through the confusion you feel when faced with strange and complex code, and explain a codebase in ways that can make a new team member productive in days! about the technologyUnderstanding the cognitive functions that govern the way your brain thinks about coding will help you work smarter, not harder. You'll improve your productivity, reduce your need for constant rewrites, and say goodbye to spending late nights struggling with new languages. about the bookThe Programmer's Brain explores the way your brain works when it's thinking about code. In it, you'll master practical ways to apply these cognitive principles to your daily programming life. You'll improve your code comprehension by turning confusion into a learning tool, and pick up awesome techniques for reading code and quickly memorizing syntax. This practical guide includes tips for creating your own flashcards and study resources that can be applied to any new language you want to master. By the time you're done, you'll not only be better at teaching yourself—you'll be an expert at bringing new colleagues and junior programmers up to speed. about the readerFor programmers who have experience working in more than one language. about the authorDr. Felienne Hermans is an associate professor at Leiden University in the Netherlands. She has spent the last decade researching learning and teaching programming. Felienne is an award-winning educator, the creator of the Hedy programming language for novice programmers, and a host of Software Engineering Radio—one of the world's largest programming podcasts.

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"This is one of the best technical books I've ever read. The writing is so good, and it covers an incredible amount of knowledge. Hands down, this is the best reference material on using asyncio anywhere." - Kent R. Spillner Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library. Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading. about the technologyThe time demands of running code synchronously quickly overload standard Python and slow your programs to a crawl. Python's Asynchronous I/O library asyncio was built to solve these performance problems by making it easy to divide and schedule computational tasks so they can be run independently. asyncio concurrently handles multiple operations without a drop in throughput or responsiveness, making your apps lightning fast and easier to scale. about the bookPython Concurrency with asyncio teaches you to write concurrent Python code that will boost the speed of your apps and APIs. The book demystifies asynchio's unique single-threaded concurrency model, giving you a behind-the-scenes understanding of the library and its new async/await syntax. Hard-to-grok concurrency topics are broken down into simple flowcharts so you can easily see how your coroutines and tasks are running. You'll learn to apply asyncio to solve common performance problems, such as batch database jobs, slow web servers, and scaling microservices. All examples you'll build are designed to be usable in the real world, including a clever command line SQL client that can run multiple slow queries at the same time. By the time you're done, you'll even be able to combine asyncio with traditional multiprocessing and multithreading techniques for huge improvements to performance. what's insideUse coroutines and tasks alongside async/await syntax to run code concurrentlyBuild web APIs and make concurrency web requests with aiohttpRun thousands of SQL queries concurrentlyCreate a map-reduce job that can process gigabytes of data concurrentlyUse threading with asyncio to mix blocking code with asyncio code about the readerFor intermediate Python programmers. No previous experience of concurrency required. about the authorMatthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director. He has worked on Python codebases in the machine learning space, as well as led development of a Python-based ecommerce site with tens of millions of users.

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Build stylish, slick, and speedy-to-load user interfaces in React without writing custom classes. React Hooks are a new category of functions that help you to manage state, lifecycle and side effects within functional components. React Hooks in Action teaches you to use pre-built hooks like useState, useReducer and useEffect, and to build your own hooks. Your code will be more reusable, require less boilerplate, and you’ll instantly be a more effective React developer. About the technology React Hooks promise to make React programmers even more productive. Hooks are a collection of pre-built and custom functions that give you a simpler API for working with key React functionalities. Hooks cleanly encapsulate side effects, make it easier to reuse components between projects, and result in less code overall. These new features represent a fundamental evolution in how the React library functions, so even experienced React developers will want to get up to speed with Hooks. About the book React Hooks in Action shows you how to use Hooks to make your codebase simpler and more reusable, and your applications faster and more responsive. You’ll build a resource booking example application chapter by chapter, learning how to develop components with local, shared, and application states. You’ll discover different approaches to data fetching, including using Concurrent Mode and Suspense to improve user experience, and explore third party hooks in the evolving React ecosystem. What's inside Create a Redux store and interact with it via Hooks Use code-splitting to improve the responsiveness of your apps Build functional components that can update their own state Manage component side effects Use the React Suspense API to improve the user experience of page and data loading About the reader For front-end web developers experienced with React. About the author John Larsen is the author of Get Programming with JavaScript. He was a mathematics and computing teacher for 25 years. He has an MA in mathematics and an MSc in information technology, and an ongoing interest in educational research. A web developer since 2000, he uses JavaScript end-to-end for server-side and client-side programming.

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"Don't setup the build pipeline with clicks, read this bookinstead and thank me later!" - Michal Rutka Learn how to think about your development pipeline as amission-critical application, with techniques for implementing code-driven infrastructure and CI/CD systems using Jenkins, Docker, Terraform, andcloud-native services. In Pipeline as Code, you will master: · Building and deploying a Jenkins cluster from scratch · Writing pipeline as code for cloud native applications · Automating the deployment of Dockerized and Serverless applications · Containerizing applications with Docker and Kubernetes · Deploying Jenkins on AWS, GCP and Azure · Managing, securing and monitoring a Jenkins cluster in production · Key principles for a successful DevOps culture Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You'll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow thisbook's insightful best practices, and you'll soon be delivering software that's quicker to market, faster to deploy, and with less last-minute production bugs. about the technology A good deployment pipeline is the backbone of successful DevOps. Using tools such as Jenkins, CI/CD can seamlessly manage the code of multiple developers, with early accuracy checks and error spotting thanks to automated testing. about the book Pipeline as Code teaches you to build your very first CI/CDpipeline with new automation technologies, modern cloud-hosted services, andclassic tools like Jenkins. It's filled with techniques that author and Jenkins contributor Mohamed Labouardy has developed maintaining thousands of production services. Each chapter includes relevant hands-on examples, including writing a CI/CD workflow for serverless AWS Lambda-based applications, and deploying a centralized logging platform based on the ELK stack. You'll explore cutting-edge methods of running Jenkins inside Kubernetes, and packaging Kubernetes applications within CI/CD pipelines. By the time you're done, you'llbe able to deploy a self-healing Jenkins cluster on cloud and take advantage ofyour new pipeline with essential DevOps practices. about the reader For developers familiar with Jenkins and Docker. Examples in Go. about the author Mohamed Labouardy is the CTO and co-founder of Crew.work, and aDevSecOps evangelist. He is the founder of Komiser.io, an author, open-source contributor, and regular conference speaker.

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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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Thanks to the authors’ easy-to-digest style, you’ll effortlessly learn about types, object-oriented programming with classes and interfaces, and using TypeScript with JavaScript libraries. You’ll discover TypeScript’s excellent tooling as you explore code-quality improvement with TSLint, debugging with source maps, unit testing, and more. TypeScript is JavaScript with an important upgrade! By adding a strong type system to JavaScript, TypeScript can help you eliminate entire categories of runtime errors. In TypeScript Quickly, you’ll learn to build rock-solid apps through practical examples and hands-on projects under the expert instruction of experienced web developers Yakov Fain and Anton Moiseev. WILL SELL LIKE Angular Development with Typescript, Key features • Mastering TypeScript syntax • Object-oriented programming with classes and interfaces • Using TypeScript with JavaScript libraries • Multiple real-world code samples Audience Written for intermediate web developers comfortable with JavaScript ES5 and HTML. About the technology TypeScript is an extension of JavaScript that includes key language features such as optional static typing, compile-time error catching, and auto-complete. By specifying types and type annotations, your code becomes much easier to interpret, which improves productivity and team development. In particular, TypeScript makes complex applications like SPAs much easier to maintain and extend. Yakov Fain and Anton Moiseev are experienced web application developers. They authored two editions of Manning’s Angular Development with TypeScript among other technical books. Yakov is a Java champion and a prolific tech blogger at yakov.fain.com. Yakov Fain and Anton Moiseev are experienced web application developers. They authored two editions of Manning’s Angular Development with TypeScript among other technical books. Yakov is a Java champion and a prolific tech blogger at yakov.fain.com.

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With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs! Data Wrangling with JavaScript teaches readers core data munging techniques in JavaScript, along with many libraries and tools that will make their data tasks even easier. Key Features · How to handle unusual data sets · Cleaning and preparing raw data · Visualizing your results Audience Written for developers with experience using JavaScript. No prior knowledge of data analytics is needed. Author Bio Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.

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Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features • Using the PyTorch tensor API • Understanding automatic differentiation in PyTorch • Training deep neural networks • Monitoring training and visualizing results • Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.

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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 Serverless architecture is about having more time to focus on code, and moving quickly. In these new architectures, traditional back-end servers are replaced with cloud functions acting as discrete singlepurpose services. With serverless compute technologies like AWS Lambda, developers can build entirely serverless platforms at scale. Serverless Architectures on AWS teaches how to build, secure and manage serverless architectures that can power the most demanding web and mobile apps. This book has many ready-made and real-world examples, code snippets, diagrams, and descriptions of architectures that can be readily applied. It describes a traditional application and its back end concerns and then shows how to solve these same problems with a serverless approach. By the end, readers will be able to reason about serverless systems and be able to compose their own systems by applying these ideas and examples. KEY FEATURES • Up-to-date with the most current platform trends • Real-world examples, code snippets, and diagrams• Learn to solve back end concerns with a serverless approach AUDIENCE This book is for all software developers interested in back end technologies. Experience with JavaScript (node.js) and AWS is useful but not required. ABOUT THE TECHNOLOGY Lambda is a compute service that executes code written in JavaScript (node.js), Python, or Java on AWS infrastructure. Source code is deployed to an isolated container that has its own allocation of memory, disk space, and CPU. Serverless architectures herald a new way of building scalable, powerful, cost-effective, and high-performing back end systems. They encourage a new way of creating applications through the use of a stateless compute service to execute code.

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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　 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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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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Provides a thorough guide to using Eclipse features and plugins effectively in the context of real-world Java development. Realistic examples demonsrate how to use Eclipse effectively build, test and degug applications using the tools provided by Eclipse and other third - party open source plugins. Learn how to use plugin tools for using Eclipse in a team environment

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An increasing number of tasks in application programming and web design requires creating and manipulating graphics. Perl is a powerful and flexible language that is not commonly associated with graphics programming. The speed of developing in Perl plus the large number of freely available Perl graphics modules, make it an excellent option for the rapid development of graphics applications. Graphics Programming with Perl is a guide to the graphics and imaging modules and tools available to the Perl programmer. It covers subjects ranging from drawing your own pictures and dynamic graphics for web pages to rendering three-dimensional scenes and manipulating individual image pixels. The text is liberally illustrated with example code and programs that show how to achieve common, and sometimes not so common, graphics programming tasks. For the even less common tasks, the book shows you how to write your own modules. What's inside: How to create charts

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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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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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