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.

Read more less

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.

Read more less

　 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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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

Read more less

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.

Read more less

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

Read more less

　 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.

Read more less

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.

Read more less

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.

Read more less

　 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.

Read more less

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

Read more less

Description As a developer, you need to build software in a secure way. But you can't spend all your time focusing on security. The answer is to use good design principles, tools, and mindsets that make security an implicit result - it's secure by design. Secure by Design teaches developers how to use design to drive security in software development. This book is full of patterns, best practices, and mindsets that you can directly apply to your real world development. Key features · Use good design to create secure software · Apply design concepts in real-world cases · Spot hidden security problems · Assess security by identifying design patterns · Understand benefits and limitations of secure-by-design Audience Readers should have some experience in Java, C#/.NET, or similar language. About the technology Secure-by-design becomes a guiding principle in how you build your software, from code to architecture. This begins by understanding designs and patterns that promote security so they become easy to apply in your day-to-day work.

Read more less

Discover the power that functional programming brings to your Scala code. This international bestseller has been revised with new exercises, annotations, and full coverage of Scala 3. In Functional Programming in Scala, Second Edition you will learn how to: Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors Write code that performs I/O without sacrificing functional programming The first edition of Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. This second edition is fully updated to Scala 3 and the latest standards of FP. Inside, you'll find a serious tutorial for programmers looking to apply functional programming to improve their everyday coding practices. You'll progress from the basics to advanced topics in a logical, concise, and clear progression. Throughout, concrete examples and exercises open up the world of functional programming. about the technology Functional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is a popular JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with Java make Scala a great place to start learning FP. about the book Functional Programming in Scala, Second Edition teaches you functional programming from first principles using the powerful Scala language. You'll develop the unique skills you need to start thinking functionally through hands-on exercises and coding challenges. New to the revised second edition, each exercise comes with extensive annotations to help you understand functional programming in-depth. You'll even learn how to build your own Scala functional library that's perfectly adapted to your needs. You'll soon be writing Scala code that's easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. RETAIL SELLING POINTS Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviours Write code that performs I/O without sacrificing functional programming AUDIENCE For programmers experienced in Java or Scala. No prior knowledge of functional programming required.

Read more less

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.

Read more less

DESCRIPTION PostGIS is an open source spatial database extender for PostgreSQL. It equals or surpasses proprietary alternatives, allowing the creations of location-aware queries with just a few lines of SQL code, and provides a back-end for mapping, raster analysis, and routing applications with minimal effort. PostGIS in Action, Second Edition teaches readers of all levels to write spatial queries that solve real-world problems. After covering the background in vector, raster and topology based GIS, it quickly moves into analyzing, viewing, and mapping data. The book shows how to optimize queries for maximum speed, simplify geometries for greater efficiency, analyze rasters, vectorize rasters, better manage data utilizing topologies, and create custom functions for applications. It covers PostGIS 2.0 and 2.1 series, PostgreSQL 9.1- 9.3 features and shows how to integrate with other GIS tools. 　 RETAIL SELLING POINTS Comprehensive coverage of PostGIS Applies PostGIS to real-world problems Significant updates to the first edition AUDIENCE Familiarity with relational database concepts is helpful but not required. This book is for programmers, GIS and DB practitioners, scientists, researchers, educators, and engineers. ABOUT THE TECHNOLOGY PostGIS (pronounced post-jis) is a spatial database extender for the PostgreSQL open source relational database management system. It’s the most powerful open source spatial database engine. It also adds to PostgreSQL several spatial data types and over 300 functions for working with these spatial types.

Read more less

Microservices Security in Action teaches readers how to secure their microservices applications code and infrastructure. After a straightforward introduction to the challenges of microservices security, the book covers fundamentals to secure both the application perimeter and service-to-service communication. Following a hands-on example, readers explore how to deploy and secure microservices behind an API gateway as well as how to access microservices accessed by a single-page application (SPA). Key Features Key microservices security fundamentals Securing service-to-service communication with mTLS and JWT Deploying and securing microservices with Docker Using Kubernetes security Securing event-driven microservices Using the Istio Service Mesh For developers well-versed in microservices design principles who have a basic familiarity with Java. About the technology As microservices continue to change enterprise application systems, developers and architects must learn to integrate security into their design and implementation. Because microservices are created as a system of independent components, each a possible point of failure, they can multiply the security risk. Prabath Siriwardena is the vice president of security architecture at WSO2, a company that produces open source software, and has more than 12 years of experience in the identity management and security domain. Nuwan Dias is the director of API architecture at WSO2 and has worked in the software industry for more than 7 years, most of which he spent focusing on the API management domain. Both have helped build security designs for Fortune 500 companies including Boeing, Verizon, Nissan, HP, and GE.

Read more less

In Software Mistakes and Tradeoffs you'll learn from costly mistakes that Tomasz Lelek and Jon Skeet have encountered over their impressive careers. You'll explore real-world scenarios where poor understanding of tradeoffs lead to major problems down the road, to help you make better design decisions. Plus, with a little practice, you'll be able to avoid the pitfalls that trip up even the most experienced developers. Software Mistakes and Tradeoffs teaches you how to make better decisions about designing, planning, and implementing applications. You'll analyse real-world scenarios where the wrong tradeoff decisions were made, and discover what could have been done differently. The book lays out the pros and cons of different approaches and explores evergreen patterns that will always be relevant to software design. Code performance versus simplicity. Delivery speed versus duplication. Flexibility versus maintain ability—everydecision you make in software engineering involves balancing tradeoffs. Often, decisions that look good at the design stage can prove problematic in practice.This book reveals the questions you need to be asking to make the right decisions for your own software tradeoffs.

Read more less

Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll learn QC fundamentals as you apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Learn Quantum Computing with Python and Q# builds your understanding of quantum computers, using Microsoft’s Quantum Development Kit to abstract away the mathematical complexities. You’ll learn QC basics as you create your own quantum simulator in Python, then move on to using the QDK and the new Q# language for writing and running algorithms very different to those found in classical computing. Key Features · The underlying mechanics of how quantum computers work · How to simulate qubits in Python · Q# and the Microsoft Quantum Developer Kit · How to apply quantum algorithms to real-world examples For readers with basic programming skills and some experience of linear algebra, calculus and complex numbers. About the technology Quantum computing is the next step in computing power and scalability, with the potential to impact everything from data science to information security. Using qubits, the fundamental unit of quantum information, quantum computers can solve problems beyond the scale of classical computing. Software packages like Microsoft's Quantum Development Kit and the Q# language are now emerging to give programmers a quick path to exploring quantum development for the first time. Christopher Granade completed his PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing, and now works in the Quantum Architectures and Computation (QuArC) group at Microsoft. He works in developing the standard libraries for Q# and is an expert in the statistical characterization of quantum devices from classical data. Previously, Christopher helped Scott Aaronson prepare lectures into his recent book, Quantum Computing Since Democritus. Sarah Kaiser completed her PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing. She has spent much of her career developing new quantum hardware in the lab, from satellites to hacking quantum cryptography hardware. Communicating what is so exciting about quantum is her passion, and she loves finding new demos and tools to help enable the quantum community to grow. When not at the keyboard, she loves kayaking and writing books about engineering for kids.

Read more less

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!

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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'.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

　 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.

Read more less

　 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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less