Search results for ""author manny"

Rust is a new systems programming language that gives you the low-level power of C with the elegance and ease of languages like Ruby and Python. Rust is thread safe, enabling "fearless concurrency". Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques. You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code. You'll also discover parallel and concurrent programming. · Concurrent and parallel programming Sharing resources with locks or atomic operations Avoiding programming with global state Message passing inside your applications Memory management and garbage collection Readers need intermediate programming skills and familiarity with general computer science concepts, the command line, and networking.

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Description C# is an amazing language that's up to any challenge you can throw at it. As a C# developer, you also need to be up to the task. C# in Depth, Fourth Edition is the key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, readers will master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more. Key features · Expert guidance · Hands-on examples · Step-by-step guide Audience If you're a C# developer who's comfortable working with the language and wants to really dig in deep, then this book is for you. About the technology .NET developers, will use C# whether their building an advanced enterprise application or just pushing out a quick ASP.NET app. C# 5, 6 and 7 have added a host of new features to help users write better code with tuples, string interpolation, pattern matching, and more.

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　 DESCRIPTION Users expect search to be simple: They enter a few terms and expect perfectly-organized, relevant results instantly. But behind this simple user experience, complex machinery is at work. Whether using Elasticsearch, Solr, or another search technology, the solution is never one size fits all. Returning the right search results requires conveying domain knowledge and business rules in the search engine's data structures, text analytics, and results ranking capabilities. Relevant Search demystifies relevance work. Using Elasticsearch, it tells how to return engaging search results to users, helping readers understand and leverage the internals of Lucene-based search engines. The book walks through several real-world problems using a cohesive philosophy that combines text analysis, query building, and score shaping to express business ranking rules to the search engine. It outlines how to guide the engineering process by monitoring search user behavior and shifting the enterprise to a search-first culture focused on humans, not computers. It also shows how the search engine provides a deeply pluggable platform for integrating search ranking with machine learning, ontologies, personalization, domain-specific expertise, and other enriching sources. 　 KEY FEATURES Highly relevant, concrete, hands-on guide Digs deep into search engine technology Contains essential tools, tips, and strategies for building engaging search engines 　 AUDIENCE For readers who can code moderately complex tasks. ABOUT THE TECHNOLOGY Lucene is the underlying technology that backs both Elasticsearch and Solr. Dominant search engines are based upon Lucene and since Lucene itself is based upon the strong foundation of Information Retrieval research, the book will be applicable to almost any search technology available now or in the foreseeable future.

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Understand and stop the hacks you read about in the headlines! This practical guide includes secure code samples, built-in ASP.NET tools, and insider techniques to help your web applications stay safe and secure. In ASP.NET Core Security, you will learn how to: Understand common attacks against web applications Implement attack countermeasures Use testing tools, helper libraries, and scanning tools to improve security Utilize built-in browser security features and activate them from ASP.NET Core applications Handle security APIs in .NET and ASP.NET Core Correctly manage passwords to minimize the damage done by a data leak Securely store application secrets so that they are not accessible to an attacker ASP.NET Core Security delivers the skills and countermeasures you need to keep your ASP.NET apps secure from the most common web application attacks. It gives you an invaluable security mindset to help you anticipate risks and introduce practices like testing as regular security checkups. The examples focus on the unique needs of ASP.NET applications, and also offer universal security best practices essential for any professional web developer. about the technology Nine out of ten web applications have security vulnerabilities. Apps built with the Microsoft stack are no different. This book lays out everything you need to know to secure your ASP.NET web applications, including unique security APIs, browser interactions, and common threats. about the book ASP.NET Core Security is a practical and hands-on guide to securing web applications built with ASP.NET. Written by Christian Wenz, a 20-year veteran of web security, it reveals attacks that threaten your apps and introduces the built-in ASP.NET features you can use to defend against them. You'll start on the dark side, exploring the weapons used by hackers, such as cross-site scripting, session theft, and SQL injection. Each attack is illustrated with a use case plucked from the headlines, including rogue Firefox extensions and Adobe password thefts. And you'll really appreciate the detailed C# code samples that show you how exactly to prevent these attacks! You'll learn how to implement countermeasures, activate browser security features with ASP.NET, and securely store application secrets to keep them safe from attack.

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Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Distributed Machine Learning Patterns you will learn how to: Apply distributed systems patterns to build scalable and reliable machine learning projects Construct machine learning pipelines with data ingestion, distributed training, model serving, and more Automate machine learning tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows Make trade offs between different patterns and approaches Manage and monitor machine learning workloads at scale Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In it, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. about the technology Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. In this book, Kubeflow co-chair Yuan Tang shares patterns, techniques, and experience gained from years spent building and managing cutting-edge distributed machine learning infrastructure. about the book Distributed Machine Learning Patterns is filled with practical patterns for running machine learning systems on distributed Kubernetes clusters in the cloud. Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures, and dynamic model serving traffic. Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach. Once you've mastered these cutting edge techniques, you'll put them all into practice and finish up by building a comprehensive distributed machine learning system.

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An effective Chief Technology Officer shapes almost every aspect of a modern business. This book shares the experience and advice of veteran CTOs and industry experts for handling IT crises, leading tech teams, and creating an inspiring vision for your company. In Think Like a CTO you will learn: Effective interaction and relationship building with other C-level executives Creating long term visions and executing on short term goals Interviewing, hiring, and terminating team members Negotiating salaries and managing promotions Architecting future proofed systems Handling security breaches and ransomware attacks Putting together budgets and working with your CFO Identifying and managing outsourced vendor opportunities Managing and communicating bad news by leading with data, not passion Being the kind of leader that employees want to follow and emulate Becoming a CTO is an incredible accomplishment. It's also one of the hardest transitions a technologist can make. This high-power and high-pressure role demands skills that are rarely developed as a software engineer. Think Like a CTO shines a light on all the areas an aspiring CTO needs to master to succeed. You'll learn how to build incredible working relationships with the rest of the C-suite, transform a company with private equity, and recruit and manage your development team. With this book as your guide, you'll quickly become a trusted leader figure with an inspiring vision for your company. about the technology Every modern company is a technology company, and that makes the CTO one of the most important leaders in an organization. The CTO must plan a company's technology vision, build and lead the team to get it done, and effectively interact with business leaders, clients, and investors. A highly effective CTO is vital for a company's continued growth and success. This book will show you how to be that CTO. about the reader For technology leaders working in or aspiring towards a CTO role.

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Optimise the performance of your systems with practical experiments used by engineers in the world's most competitive industries. Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You will start with a deep dive into methods like A/B testing and then graduate to advanced techniques used to measure performance in industries such as finance and social media. You will learn how to: Design, run, and analyse an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimisation Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation By the time you're done, you will be able to seamlessly deploy experiments in production, whilst avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world's most competitive industries and will help you enhance machine learning systems, software applications, and quantitative trading solutions.

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Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP. The design rules for different types of objectsBest practices for naming objectsTesting an object’s behavior instead of its implementationExercises for each chapter to test your design skills

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For system administrators, network professionals, beginning pentesters, and security consultants. The Art of Network Penetration Testing is a hands-on guide to running your own penetration test on an enterprise network. After setting up a virtual environment to use as your lab, you’ll work step-by-step through every stage of a professional pentest, from information gathering to seizing control of a vulnerable system. You’ll learn a repeatable process you can use to identify valuable targets within a typical enterprise environment, perform controlled exploitation of critical security weaknesses, elevate network level privileges, and pivot laterally through the network. Finally, you’ll learn how to write up your findings in a clear and actionable report, to ensure a system can be protected against the weaknesses you’ve identified. Set up a virtual pentest lab using Ubuntu Linux Identify internal weaknesses on compromised systems Exploit network vulnerabilities to compromise Windows and Linux Establish persistent re-entry back into compromised targets Elevate your privileges to become a domain administrator Penetration testing, also called pentesting, is about more than just getting through a perimeter firewall. The biggest security threats are inside the network, where attackers can rampage through sensitive data by exploiting weak access controls and poorly patched software. Designed for up-and-coming security professionals, The Art of Network Penetration Testing teaches you how to take over an enterprise network from the inside. It lays out every stage of an internal security assessment step-by-step, showing you how to identify weaknesses before a malicious invader can do real damage. Packed with valuable personal and financial data, business computer systems are attractive targets to cyber criminals. As a penetration tester, your job is to attack an organization’s IT applications and infrastructure to find the vulnerabilities a real intruder would exploit. Master pentesters need the skill to identify internal security flaws that would allow a bad actor to compromise file systems, email, databases, and other core components of a modern connected enterprise.

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Intended for intermediate Java developers familiar with web development, networked services, and enterprise Java frameworks like Spring or Java EE. No prior experience in asynchronous or reactive programming is required. As enterprise applications become larger and more distributed, new architectural approaches like reactive designs, microservices, and event streams are required knowledge. The Vert.x framework provides a mature, rock-solid toolkit for building reactive applications using Java, Kotlin, or Scala. Vert.x in Action teaches you to build responsive, resilient, and scalable JVM applications with Vert.x using well-established reactive design patterns. about the technology Vert.x is a mature framework for building reactive applications on the JVM. Designed to handle asynchronous communication effortlessly, Vert.x permits the fewest number of concurrent threads possible. As a result, you automatically get increased scalability, resource efficiency, and dependability, which are big wins for any distributed system. Vert.x’s modular design lends itself perfectly to data processing, IoT gateways, web apps, gaming backends, and more. Vert.x supports all major JVM languages and asynchronous programming models including callbacks, promises, Scala futures, and Kotlin futures. Hosted by the Eclipse foundation and now in its third major release, Vert.x boasts over seven years of field-tested performance. In addition, Vert.x has been integrated into the Red Hat OpenShift platform as a rapid development tool for cloud native reactive applications. about the book Vert.x in Action teaches you to build highly-scalable reactive enterprise applications. In this practical developer’s guide, Vert.x expert Julien Ponge gets you up to speed in the basics of asynchronous programming as you learn to design and code reactive applications. Using the Vert.x asynchronous APIs, you’ll build services including web stack, messaging, authentication, and access control. You’ll also dive into deployment of container-native components with Docker, Kubernetes, and OpenShift. Along the way, you’ll check your app’s health and learn to test its resilience to external service failures. As a member of the Vert.x core team, Julien Ponge has up-close-and-personal experience you can trust. The lessons and examples in this book center on principles that will easily transfer to other reactive technologies, empowering you to apply what you learn using Vert.x or the reactive tech of your choice. With the rising tide of microservices and distributed systems, reactive programming is flowing into the mainstream. With Vert.x in Action, you’ll be sailing smoothly! An introduction to asynchronous programming and reactive systems Building reactive services Responding to external service failures Horizontal scaling Deploying with Docker, Kubernetes, and OpenShift

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　 DESCRIPTION To earn the OCA Java SE 8 Programmer I Certification, readers need to know Java inside and out, and to pass the exam it's good to understand the test itself. This book cracks open the questions, exercises, and expectations readers will face on the OCA exam so they’ll be ready and confident on test day. OCA Java SE 8 Programmer I Certification Guide prepares readers for the 1Z0-808 with complete coverage of all exam topics. The book explores important Java topics and systematically teaches what's required. Each chapter starts with a list of exam objectives mapped to section numbers, followed by sample questions and exercises designed to reinforce key concepts. It provides multiple ways to digest important techniques and concepts, including memorable analogies, diagrams, and flowcharts as well as lots of well-commented code. Along the way readers will also get the scoop on common mistakes and ways to avoid traps and pitfalls. KEY FEATURES  100% coverage of exam topics  Hands-on coding examples and exercises  Helps readers avoid exam traps and pitfalls  Hundreds of sample questions  Crib Sheets AUDIENCE Written for developers with a working knowledge of Java who want to earn the OCA Java SE 8 Programmer I Certification. ABOUT THE TECHNOLOGY The Oracle Certified Associate (OCA) Java SE 8 measures day-to-day programming and the ability to handle typical situations found in a variety of projects.

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DESCRIPTION Many of the technologies discussed in the book—Spark, Storm, Kafka, Impala, RabbitMQ, etc.—are covered individually in other books. Throughout this book, readers will get a clear picture of how these technologies work individually and together, gain insight on how to choose the correct technologies, and discover how to fuse them together to architect a robust system. Streaming Data introduces the concepts and requirements of streaming and real-time data systems. Readers will develop a foundation to understand the challenges and solutions of building in-the-moment data systems before committing to specific technologies. Using lots of diagrams, this book systematically builds up the blueprint for an inthe- moment system concept by concept. This book focuses on the big ideas of streaming and real time data systems rather than the implementation details. KEY FEATURES • Lots of diagrams to explain concepts • Collecting and analyzing data in real time • Uses running examples • Explains how to combine emerging technologies AUDIENCE No experience with streaming or real-time data systems required. Perfect for developers or architects, this book is also written to be accessible to technical managers and business decision makers. Competancy in the Java programming language is recomended. ABOUT THE TECHNOLOGY Applications built to deal with streaming data present fundamentally different challenges than those that work with stored data. For example, live location data paired with a social media profile might allow a vendor to recommend a product or service to a user at just the right instant, and the split-nanosecond reaction of a pacemaker or anti-lock brakes can save lives. Emerging techniques and technologies that enable you to take immediate action on streaming data make it possible to design and build in-the-moment decision systems, dynamic reporting dashboards, live recommendation systems, and other real-time applications.

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Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the “brain” behind the world’s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the “black box” API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

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　 DESCRIPTION Elixir is a functional programming language built on the Erlang virtual machine. It combines the productivity and expressivity of Ruby with the concurrency and fault-tolerance of Erlang. Elixir makes full use of Erlang's powerful OTP library, which many developers consider the source of Erlang's greatness, so programmers can have mature, professional-quality functionality right out of the gate. Elixir's support for functional programming makes it a great choice for highly distributed event-driven applications like IoT systems. The Little Elixir & OTP Guidebook gets readers programming applications with Elixir and OTP. First, it offers a quick overview of the Elixir language syntax, along with just enough functional programming to use it effectively. Then, it dives straight into OTP and shows how it helps build scalable, fault-tolerant, and distributed applications through several fun examples. Readers will rediscover the joy of programming with Elixir and remember what it feels like to be a beginner again. KEY FEATURES  Hand-on guide with fun examples  Gets readers building programs quickly  Brings back the joy of programming AUDIENCE Written for readers comfortable with a standard programming language like Ruby, Java, or Python. Experience with Erlang or another functional programming language is helpful. ABOUT THE TECHNOLOGY There is now a huge interest in functional programming languages such as Scala, Clojure, F#, Erlang and Haskell. Part of this reason is that these languages are better suited to exploit multi-core processors. Elixir is a functional programming language built on the Erlang virtual machine. It combines the productivity and expressivity of Ruby with the concurrency and fault-tolerance of Erlang.

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Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively.Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can

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iBATIS in Action shows Java developers how to tackle the problem of data persistence using the elegant iBATIS framework. iBATIS helps developers solve the problem of connecting—or mapping—relational databases to object-oriented code. An extensive running example presents reusable iBATIS patterns and common solutions. The sample application shows where iBATIS fits in a typical web application as well as how iBATIS integrates with other popular frameworks like Struts. iBATIS in Action focuses on solving existing problems without introducing new ones. In addition to showing what iBATIS does, iBATIS in Action also shows how iBATIS solves problems. Readers explore the driving design philosophy behind iBATIS as presented by iBATIS creator Clinton Begin.

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Easy-to-follow guide Real-world examples Complete coverage of HTML5 HTML5 is one of the hottest topics in the Web development community and itզs unlikely to change any time soon. Developers are keen on using a cross-platform method of development, and HTML5 fits the bill perfectly. Along with supporting technologies like CSS3, SVG, and JavaScript, it gives web developers powerful new features like local storage, better audio and video support, and standards-driven mobile application development. HTML5 in Action is a practical hands-on guide that provides a complete introduction to web development using HTML5. It provides thorough coverage of the various new features included in HTML5, from web forms and offline applications to 2D Canvas. The easy-to-follow examples ensure that readers can start using these features in their own applications on day one.

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In the future, there are going to be millions of jobs with no one to fill them if more kids don't learn how to code. So why aren't more kids learning to program? Some think it's too hard, and others don't have parents who can help them because they don't know programming themselves. Learning to code with a tool like Scratch, an open source programming platform maintained by MIT, and having fun goals, like writing games, just might make a difference. That's where this book comes in. Hello, Scratch! is a how-to book that helps parents and kids work together to learn programming skills by creating new versions of old retro-style arcade games with Scratch. By building games, readers not only create fun finished products, but they'll learn important programming skills along the way. By the time readers are done, they'll be able to create their own games and understand the basics of computer programming and game design. Key Features: · Introduction to Scratch · Easy to follow examples · Step-by-step guide This book is for kids and their parents who want to learn to program while creating games. No programming experience needed! About the Technology: Scratch is a drag-and-drop programming language created by the college Massachusetts Institute of Technology (MIT). What can you make with Scratch? The short answer is anything.

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DESCRIPTION The Oculus Rift is an exciting next generation VR headset developed by OculusVR. Whether it's in a game, an architectural walk-through, or a teaching simulation, the goal of any immersive virtual reality experience is to make users feel like they're in the middle of the action. With precise, high-quality optics and a flexible programmatic interface, the Rift provides real-life field of view and head tracking hardware for natural interaction that finally nails the feeling of being there. Oculus Rift in Action introduces the powerful Oculus Rift headset and shows how to integrate its many features into 3D games and other virtual reality experiences. First, it discusses the capabilities of the Rift hardware. Then, it provides interesting and instantly-relevant examples that walk readers through programming real applications using the Oculus SDK. Along the way, the book offers practical guidance on using the Rift's sensors to produce a natural, fluid, immersive 3D experience; readers will be ready to hit the ground running with the first VR killer app when the consumer Rift is released! RETAIL SELLING POINTS An in depth guide for creating immersive VR experiences Shows the right way to create compelling VR applications Plenty of useful examples with detailed instructions AUDIENCE Readers can use this book even if they don't yet own the Oculus Rift hardware. Some experience with C++ or another OO language is required for the programming examples. No previous knowledge of optics, display, or motion tracking is expected. ABOUT THE TECHNOLOGY The Oculus Rift is a VR headset with a field comparable to what you'd get if you surrounded yourself with an array of a dozen monitors. Combined with the wide field of view, it includes head-tracking hardware so that when you turn your head, the view automatically changes, creating a feeling of 'really being there'.

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Master Java persistence using the industry-leading tools Spring Data and Hibernate. In Java Persistence with Spring Data and Hibernate you will learn: Mapping persistent classes, value types, and inheritance Mapping collections and entity associations Processing transactions with Spring Data and Hibernate Creating fetch plans, strategies, and profiles Filtering data Building Spring Data REST projects Using Java persistence with non-relational databases Querying JPA with QueryDSL Testing Java persistence applications Java Persistence with Spring Data and Hibernate teaches you the ins-and-outs of Java persistence with hands-on examples using Spring Data, JPA and Hibernate. The book carefully analyzes the capabilities of the major Java persistence tools, and guides you through the most common use cases. You'll learn how to make and utilize mapping strategies, and efficiently test Java persistence applications. The practical techniques are demonstrated with both relational and non-relational databases. about the technology Persistence enables an application's data to exist for the long term, even after a program is stopped or terminated. Whether you're saving state from session to session or maintaining long-term records, Java persistence tools like Spring Data, JPA, and Hibernate help deliver the object relational mapping that connects code's objects with your database. about the book Java Persistence with Spring Data and Hibernate explores persistence with the most popular available tools. You'll benefit from detailed coverage of Spring Data JPA, Spring Data JDBC, Spring Data REST, JPA, and Hibernate, comparing and contrasting the alternatives so you can pick what's best for your code. Begin with a hands-on introduction to object-relational mapping (ORM), then dive into mapping strategies for linking up objects and your database. You'll learn about the different approach to transactions for both Hibernate and Spring Data, and even how to deliver Java persistence with non-relational databases. Finally, you'll explore testing strategies for persistent applications to keep your code clean and bug free.

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Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real world use cases forfacial recognition, cloud data storage, and more. Alongside skills for technical implementation, you'll learn about current and future machine learning privacy challenges and how to adapt technologies to your specific needs. By the time you're done, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Large-scale scandals such as the Facebook Cambridge Analytic a data breach have made many users wary of sharing sensitive and personal information. Demand has surged among machine learning engineers for privacy-preserving techniques that can keep users private details secure without adversely affecting the performance of models.

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Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with R, Second Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. about the technology Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. what's inside Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation about the reader For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.

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An effective DBA is an efficient DBA. And if you work with SQL Server, dbatools is a lifesaver. With over 500 commands, this free and open source PowerShell module has the horsepower to automate just about every task you can imagine—and then some! Learn dbatools in a Month of Lunches teaches you techniques that will make you more effective—and efficient—than you ever thought possible. Learn dbatools in a Month of Lunches is a practical hands-on guide to automating SQL Server with PowerShell and the awesome dbatools module. You'll master techniques you can immediately put into practice, from daily duties like backups and restores right through to performing security audits. Stabilize and standardize your SQL server environment, and simplify your tasks by building automation, alerting, and reporting with this powerful tool. Each lesson delivers another skill that you can use to speed through your core tasks as a SQL Server DBA! About the TechnologyWant to automate tasks for thousands of SQL servers at once? Want to migrate an entire SQL server using just the command line? dbatools can do all that—and more. A free and open source PowerShell module, dbatools offers over 500 commands for automating SQL Server from the command line. Boasting advanced options unavailable in official tools, dbatools makes it easy to automate tasks including mass exports for simplified disaster recovery, tempdb configuration, and improving an instance's security posture.

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The idea behind Docker is simple. Create a tiny virtual environment called a container that holds just your application and its dependencies. The Docker engine uses the host operating system to keep track of your containers. Applications running inside containers share resources, making their footprints small. They are easy to install, manage, and remove. Docker in Action, Second Edition teaches you to create, deploy, and manage applications hosted in Docker containers running on Linux. Fully updated, with four new chapters and revised best practices and examples, this second edition begins with a clear explanation of the Docker model. Then, you go hands-on with packaging applications, testing, installing, running programs securely, and deploying them across a cluster of hosts. With examples showing how Docker benefits the whole dev lifecycle, you'll discover techniques for everything from dev-and-test machines to full-scale cloud deployments.

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DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users. Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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With a huge ecosystem of pre-built game assets, an enthusiastic community of fellow developers, and support for nearly every platform, Unity is a great choice to make your dream game a reality. Unity in Action, Second Edition teaches readers to write and deploy games with the Unity game development platform. Fully updated to include the latest changes to Unity, new best practices, and an entire chapter on building 2D platformers with Unity's expanded 2D toolkit, this book is essential for any aspiring game developer. Key features • Hands-on examples • Clear explanations • Excellent graphics Written for those who know how to program, in C# or a similar OO language. No previous Unity experience or game development knowledge is assumed. Unity is a professional-quality game engine used to create video games targeting a variety of platforms.

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