- Table View
- List View
Building Performance Dashboards and Balanced Scorecards with SQL Server Reporting Services
by Christopher Price Devin Knight Adam JorgensenDiscover how to maintain and update balanced scorecards and performance dashboards with SQL Server Reporting Services Complementing the bestselling Balanced Scorecards and Operational Dashboards with Microsoft Excel (9780470386811), this indispensable book shows you how to create maintainable and dynamically updated scorecards and performance dashboards using Microsoft's premier reporting tool for the enterprise: SQL Server Reporting Services. The book begins with coverage of performance management methods and metrics and then moves on to introduce you to techniques for developing and delivering both a dashboard and balanced scorecard using Reporting Services. The authors assume very limited knowledge of Reporting Services, allowing you to gradually progress through more advanced topics and solutions. Shows you how to build a simple dashboard and balanced scorecard utilizing helpful examples Discusses formatting controls and labels, paging, and conditional formatting Introduces the skills necessary to make Reporting Services dashboards and scorecards interactive Covers the visual aspect of dashboards and scorecards and shows how to design and implement dashboards and scorecards in Reporting Services for mobile devices Explains how to apply the techniques covered earlier in the book for specific business applications This book sets itself apart from other titles with its comprehensive and invaluable coverage of key strategies and techniques for effectively using SQL Reporting Services to create scorecards and dashboards.
Building Personality-Driven Language Models: How Neurotic is ChatGPT (Synthesis Lectures on Engineering, Science, and Technology)
by Karol Przystalski Jan K. Argasiński Natalia Lipp Dawid PacholczykThis book provides an innovative exploration into the realm of artificial intelligence (AI) by developing personalities for large language models (LLMs) using psychological principles. Aimed at making AI interactions feel more human-like, the book guides you through the process of applying psychological assessments to AIs, enabling them to exhibit traits such as extraversion, openness, and emotional stability. Perfect for developers, researchers, and entrepreneurs, this work merges psychology, philosophy, business, and cutting-edge computing to enhance how AIs understand and engage with humans across various industries like gaming and healthcare. The book not only unpacks the theoretical aspects of these advancements but also equips you with practical coding exercises and Python code examples, helping you create AI systems that are both innovative and relatable. Whether you’re looking to deepen your understanding of AI personalities or integrate them into commercial applications, this book offers the tools and insights needed to pioneer this exciting frontier.
Building Polyfills: Web Platform APIs for the Present and Future
by Brandon SatromAdd custom features to browsers old and new by writing polyfill libraries, JavaScript plugins that take browsers beyond their native capabilities. In this practical fieldbook, author Brandon Satrom introduces principles and guidelines for polyfill development, and then walks you through the steps for building a complex, real-world HTML5 polyfill.You’ll also explore the future of polyfilling—or prollyfilling—that will enable you to test and work with emerging concepts, often ahead of browser vendors. By the time you finish this book, you’ll have the tools and hands-on experience you need to build reliable polyfills for today’s and tomorrow’s Web.Learn the current state of polyfills, including shims, opt-ins, and drop-insUse principles and practices to build responsible polyfills that benefit the entire web development communityBuild out several features for an HTML5 Forms polyfill libraryConfigure a build environment and run automated cross-browser testingOptimize performance, handle edge cases, and fine-tune the speed of your polyfillGet examples of prollyfilling libraries that push the boundaries of the WebWrite a sample prollyfill and compare it to current polyfill builds
Building Powerful and Robust Websites with Drupal 6
by David MercerWritten in the same style as the original Drupal title, this book is a pragmatic look at the steps necessary to get a website up and running. Drawing on years of writing experience, David Mercer utilizes a friendly, engaging style that is both clear and concise perfect for the Drupal newbie. This book is for people with little or no experience in website design, people who are not familiar with PHP, MySQL or HTML, and above all people with little to no experience in using Drupal. Even intermediate Drupal users will find this book of interest although it is specifically aimed at pushing beginners up the learning curve.
Building Probabilistic Graphical Models with Python
by Kiran R KarkeraThis is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated. If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you.This book is intended for those who have some Python and machine learning experience, or are exploring the machine learning field.
Building Product Models: Computer Environments, Supporting Design and Construction
by Charles M EastmanBuilding Product Models thoroughly presents the concepts, technology, and methods now used to work out what will become the building product model - a new, digital representation for architecture, civil engineering, and building construction.Organized into three sections (history, current tools and concepts, and existing efforts and research issues), this resource provides the field of building product modeling with a standard reference as well as a single, comprehensive text for university courses. Until now, all the efforts in building modeling have been reported in research journals and conference proceedings or been made available as draft standards on the Internet. Building Product Models is the only book available on this vital field, bringing together essential aspects of major efforts from the early 1970s to the present.
Building Products for the Enterprise: Product Management in Enterprise Software
by Blair Reeves Benjamin GainesIf you’re new to software product management or just want to learn more about it, there’s plenty of advice available—but most of it is geared toward consumer products. Creating high-quality software for the enterprise involves a much different set of challenges. In this practical book, two expert product managers provide straightforward guidance for people looking to join the thriving enterprise market.Authors Blair Reeves and Benjamin Gaines explain critical differences between enterprise and consumer products, and deliver strategies for overcoming challenges when building for the enterprise. You’ll learn how to cultivate knowledge of your organization, the products you build, and the industry you serve.Explore why:Identifying customer vs user problems is an enterprise project manager’s main challengeEffective collaboration requires in-depth knowledge of the organizationAnalyzing data is key to understanding why users buy and retain your productHaving experience in the industry you’re building products for is valuableProduct longevity depends on knowing where the industry is headed
Building Progressive Web Applications with Vue.js: Reliable, Fast, and Engaging Apps with Vue.js
by Carlos RojasObtain all the necessary tools for developing a progressive web application (PWA) with Vue.js, a modern JavaScript framework. You’ll see how PWAs behave like a regular responsive website and have a similar structure to that of a web application, but feel like a native mobile app. Along the way you’ll take advantage of Vue.js features to build fast, high-performing progressive web apps that work offline. Building Progressive Web Applications with Vue.js starts by explaining the basic concepts and structure of PWAs, and moves on to designing the app shell and other features that distinguish a PWA from simple web pages. In the following chapters, the book talks about the improved web technologies, such as service workers, caching strategies, background sync, and push notifications, that make PWAs powerful.What You Will LearnHarness the power of Vue.js to build PWAs Understand the function and relevance of a manifest fileDiscover service workers and why they are revolutionaryWork with the Cache API and caching strategiesUse IndexedDB, background sync, and push notificationsEnhance your apps with FirebaseImplement the Workbox library in your appsWho This Book Is ForWeb developers who want to venture into building PWAs would find the book useful.
Building Progressive Web Apps: Bringing the Power of Native to the Browser
by Tal AterMove over native apps. New progressive web apps have capabilities that will soon make you obsolete. With this hands-on guide, web developers and business execs will learn how—and why—to develop web apps that take advantage of features that have so far been exclusive to native apps. Features that include fast load times, push notifications, offline access, homescreen shortcuts, and an entirely app-like experience.By leveraging the latest browser APIs, progressive web apps combine all of the benefits of native apps, while avoiding their issues. Throughout the book, author Tal Ater shows you how to improve a simple website for the fictional Gotham Imperial Hotel into a modern progressive web app. Plus:Understand how service workers work, and use them to create sites that launch in an instant, regardless of the user’s internet connectionCreate full-screen web apps that launch from the phone's homescreen just like native appsRe-engage users with push notifications, even days after they have left your siteEmbrace offline-first and build web apps that gracefully handle loss of connectivityExplore new UX opportunities and challenges presented by progressive web apps
Building Python Microservices with FastAPI: Build secure, scalable, and structured Python microservices from design concepts to infrastructure
by Sherwin John TraguraDiscover the secrets of building Python microservices using the FastAPI frameworkKey FeaturesProvides a reference that contains definitions, illustrations, comparative analysis, and the implementation of real-world appsCovers concepts, core details, and advanced integration and design-related topicsImparts context, app templates, suggestions, and insights that are helpful to actual projectsBook DescriptionFastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI-based Django and Flask. When working with Python, Flask, and Django microservices, you'll be able to put your knowledge to work with this practical guide to building seamlessly manageable and fast microservices.You'll begin by understanding the background of FastAPI and learning how to install, configure, and use FastAPI to decompose business units. You'll explore a unique and asynchronous REST API framework that can provide a better option when it comes to building microservices. After that, this book will guide you on how to apply and translate microservices design patterns in building various microservices applications and RESTful APIs using the FastAPI framework.By the end of this microservices book, you'll be able to understand, build, deploy, test, and experiment with microservices and their components using the FastAPI framework.What you will learnUnderstand, orient, and implement REST APIs using the basic components of the FastAPI frameworkBuild asynchronous as well as synchronous REST services using the built-in pydantic module and asyncio supportCreate small-scale and large-scale microservices applications using features supported by FastAPIBuild event-driven and message-driven applications using the frameworkCreate an asynchronous and synchronous data layer with both relational and NoSQL databasesPerform numerical and symbolic computations with FastAPIWho this book is forThis book is for Python web developers, advanced Python developers, and backend developers using Flask or Django who want to learn how to use the FastAPI framework to implement microservices. Readers familiar with the REST API and microservices will also benefit from this book. Some parts of the book contain general concepts, processes, and instructions that intermediate-level developers and Python enthusiasts can relate to as well.
Building Python Real-Time Applications with Storm
by Barry Hart Kartik BhatnagarLearn to process massive real-time data streams using Storm and Python--no Java required! About This Book * Learn to use Apache Storm and the Python Petrel library to build distributed applications that process large streams of data * Explore sample applications in real-time and analyze them in the popular NoSQL databases MongoDB and Redis * Discover how to apply software development best practices to improve performance, productivity, and quality in your Storm projects Who This Book Is For This book is intended for Python developers who want to benefit from Storm's real-time data processing capabilities. If you are new to Python, you'll benefit from the attention to key supporting tools and techniques such as automated testing, virtual environments, and logging. If you're an experienced Python developer, you'll appreciate the thorough and detailed examples What You Will Learn * Install Storm and learn about the prerequisites * Get to know the components of a Storm topology and how to control the flow of data between them * Ingest Twitter data directly into Storm * Use Storm with MongoDB and Redis * Build topologies and run them in Storm * Use an interactive graphical debugger to debug your topology as it's running in Storm * Test your topology components outside of Storm * Configure your topology using YAML In Detail Big data is a trending concept that everyone wants to learn about. With its ability to process all kinds of data in real time, Storm is an important addition to your big data "bag of tricks." At the same time, Python is one of the fastest-growing programming languages today. It has become a top choice for both data science and everyday application development. Together, Storm and Python enable you to build and deploy real-time big data applications quickly and easily. You will begin with some basic command tutorials to set up storm and learn about its configurations in detail. You will then go through the requirement scenarios to create a Storm cluster. Next, you'll be provided with an overview of Petrel, followed by an example of Twitter topology and persistence using Redis and MongoDB. Finally, you will build a production-quality Storm topology using development best practices. Style and approach This book takes an easy-to-follow and a practical approach to help you understand all the concepts related to Storm and Python.
Building Python Web APIs with FastAPI: A fast-paced guide to building high-performance, robust web APIs with very little boilerplate code
by Abdulazeez Abdulazeez AdeshinaDiscover FastAPI features and best practices for building and deploying high-quality web APIs from scratchKey FeaturesA practical guide to developing production-ready web APIs rapidly in PythonLearn how to put FastAPI into practice by implementing it in real-world scenariosExplore FastAPI, its syntax, and configurations for deploying applicationsBook DescriptionRESTful web services are commonly used to create APIs for web-based applications owing to their light weight and high scalability. This book will show you how FastAPI, a high-performance web framework for building RESTful APIs in Python, allows you to build robust web APIs that are simple and intuitive and makes it easy to build quickly with very little boilerplate code. This book will help you set up a FastAPI application in no time and show you how to use FastAPI to build a REST API that receives and responds to user requests. You'll go on to learn how to handle routing and authentication while working with databases in a FastAPI application. The book walks you through the four key areas: building and using routes for create, read, update, and delete (CRUD) operations; connecting the application to SQL and NoSQL databases; securing the application built; and deploying your application locally or to a cloud environment.By the end of this book, you'll have developed a solid understanding of the FastAPI framework and be able to build and deploy robust REST APIs.What you will learnSet up a FastAPI application that is fully functional and secureUnderstand how to handle errors from requests and send proper responses in FastAPIIntegrate and connect your application to a SQL and NoSQL (MongoDB) databasePerform CRUD operations using SQL and FastAPIManage concurrency in FastAPI applicationsImplement authentication in a FastAPI applicationDeploy a FastAPI application to any platformWho this book is forThis book is for Python developers who want to learn FastAPI in a pragmatic way to create robust web APIs with ease. If you are a Django or Flask developer looking to try something new that's faster, more efficient, and produces fewer bugs, this FastAPI Python book is for you. The book assumes intermediate-level knowledge of Python programming.
Building Quality Shaders for Unity®: Using Shader Graphs and HLSL Shaders
by Daniel IlettUnderstand what shaders are and what they’re used for: Shaders are often seen as mystical and difficult to develop, even by skilled programmers, artists, and developers from other game design disciplines. This book dispels that idea by building up your shader knowledge in stages, starting with fundamental shader mathematics and how shader development mindset differs from other types of art and programming, and slowly delves into topics such as vertex and fragment shaders, lighting, depth-based effects, texture mapping, and Shader Graph.This book presents each of these topics with a comprehensive breakdown, the required theory, and some practical applications for the techniques learned during each chapter. The HLSL (High Level Shading Language) code and Shader Graphs will be provided for each relevant section, as well as plenty of screenshots.By the end of this book, you will have a good understanding of the shader development pipeline and you will be fully equipped to start making your own aesthetic and performant shader effects for your own games!You Will Learn To• Use shaders across Unity’s rendering pipelines• Write shaders and modify their behavior with C# scripting• Use Shader Graph for codeless development• Understand the important math behind shaders, particularly space transformations• Profile the performance of shaders to identify optimization targetsWho Is This Book ForThis book is intended for beginners to shader development, or readers who may want to make the jump from shader code to Shader Graph. It will also include a section on shader examples for those who already know the fundamentals of shaders and are looking for specific use cases.
Building Quantum Software with Python: A developer's guide
by Constantin Gonciulea Charlee StefanskiA developer-centric look at quantum computing.The demand for developers who can implement solutions with quantum resources is growing larger every day. Building Quantum Software with Python gives you the foundation you need to build the software for the quantum age, and apply quantum computing to real-world business and research problems. In Building Quantum Software with Python you will learn about: • Quantum states, gates, and circuits • A practical introduction to quantum algorithms • Running quantum software on classical simulators and quantum hardware • Quantum search, phase estimation, and quantum counting • Quantum solutions to optimization problems Building Quantum Software with Python lays out the math and programming techniques you&’ll need to apply quantum solutions to real challenges like sampling from classically intractable probability distributions and large-scale optimization problems. You will learn which quantum algorithms and patterns apply to different types of problems and how to build your first quantum applications. All the simulator code you write can be easily converted to run on real quantum hardware. Foreword by Heather Higgins. About the technology Large-scale optimization problems, complex financial and scientific simulations, cryptographic calculations, and certain types of machine learning require unreasonably long times to run on classical computers. Quantum computers can perform some operations like these almost instantaneously! Don&’t wait to get started. This book will prime you on quantum applications, implementations, and hybrid quantum-classic designs so you&’ll be ready to join the quantum revolution. About the book Building Quantum Software with Python teaches you how to build working applications that run on a simulator or real quantum hardware. By relating QC to classical computing concepts you already know, this book&’s intuitive visualizations and code implementations make quantum computing easy to grasp even if you don&’t have a background in advanced math. As you go, you&’ll discover and implement quantum techniques for truly random sampling, optimization solutions, unstructured search, and more—all using easy-to-follow Python code. What's inside • Hype-free discussions of when, where, and why QC makes sense • Solving complex optimization problems • Quantum search using Grover&’s Algorithm • Fourier transform, phase estimation, and probability distribution sampling About the reader For developers who know Python. No advanced math knowledge required. About the author Constantin Gonciulea leads the Advanced Technology group at Wells Fargo and has worked in quantum computing since 2018. Charlee Stefanski is a senior software engineer at Wells Fargo, where she leads the development of the internal quantum computing platform. Table of Contents Part 1 1 Advantages and challenges of programming quantum computers 2 A first look at quantum computations: The knapsack problem 3 Single-qubit states and gates 4 Quantum state and circuits: Beyond one qubit Part 2 5 Selecting outcomes with quantum oracles 6 Quantum search and probability estimation 7 The quantum Fourier transform 8 Using the quantum Fourier transform 9 Quantum phase estimation Part 3 10 Encoding functions in quantum states 11 Search-based quantum optimization 12 Conclusions and outlook Appendixes A Math refresher B More about quantum states and gates C Outcome pairing strategies
Building REST APIs with Flask: Create Python Web Services with MySQL
by Kunal RelanDevelop RESTful web services using the Flask micro-framework and integrate them using MySQL. Use Flask to develop, deploy, and manage REST APIs with easy-to-read and understand Python code. Solve your problem from a choice of libraries. Learn to use MySQL as the web services database for your Flask API using SQLAlchemy ORM.Building REST APIs with Flask provides a primer on Flask, RESTful services, and working with pip to set up your virtual environment. The key differences between NoSQL and SQL are covered, and you are taught how to connect MySQL and Flask using SQLAlchemy. Author Kunal Relan presents best practices for creating REST APIs and guides you in structuring your app and testing REST endpoints. He teaches you how to set up authentication and render HTML using views. You learn how to write unit tests for your REST APIs, and understand mocks, assertions, and integration testing. You will know how to document your REST APIs, deploy your Flask application on all of the major cloud platforms, and debug and monitor your Flask application.What You'll LearnUse MySQL to create Flask REST APIs Test REST endpointsCreate CRUD endpoints with Flask and MySQLDeploy Flask on all of the major cloud platformsMonitor your Flask application Who This Book Is For Python developers interested in REST API development using Flask and web developers with basic programming knowledge who want to learn how Python and REST APIs work together. Readers should be familiar with Python (command line, or at least pip) and MySQL.
Building RESTful Python Web Services
by Gaston C. HillarCreate web services that are lightweight, maintainable, scalable, and secure using the best tools and techniques designed for Python About This Book * Develop RESTful Web Services using the most popular frameworks in Python * Configure and fine-tune your APIs using the best tools and techniques available * This practical guide will help you to implement complete REST-based APIs from scratch Who This Book Is For This book is for web developers who have working knowledge of Python and would like to build amazing web services by taking advantage of the various frameworks of Python. You should have some knowledge of RESTful APIs. What You Will Learn * Develop complex RESTful APIs from scratch with Python combined with and without data sources * Choose the most appropriate (micro) framework based on the specific requirements of a RESTful API / web service * Debug, test, and profile RESTful APIs with each of the frameworks * Develop a complex RESTful API that interacts with a PostgreSQL database * Add authentication and permissions to a RESTful API built in each of the frameworks * Map URL patterns to request handlers and check how the API works * Profile an existing API and refactor it to take advantage of asynchronous code In Detail Python is the language of choice for millions of developers worldwide, due to its gentle learning curve as well as its vast applications in day-to-day programming. It serves the purpose of building great web services in the RESTful architecture. This book will show you the best tools you can use to build your own web services. Learn how to develop RESTful APIs using the popular Python frameworks and all the necessary stacks with Python, Django, Flask, and Tornado, combined with related libraries and tools. We will dive deep into each of these frameworks to build various web services, and will provide use cases and best practices on when to use a particular framework to get the best results. We will show you everything required to successfully develop RESTful APIs with the four frameworks such as request handling, URL mapping, serialization, validation, authentication, authorization, versioning, ORMs, databases, custom code for models and views, and asynchronous callbacks. At the end of each framework, we will add authentication and security to the RESTful APIs and prepare tests for it. By the end of the book, you will have a deep understanding of the stacks needed to build RESTful web services. Style and approach The book takes a straightforward approach, not spending time getting you started with RESTful APIs and web services. It will give you the best use cases for each framework to build great web services in Python.
Building RESTful Web Services with .NET Core: Developing Distributed Web Services to improve scalability with .NET Core 2.0 and ASP.NET Core 2.0
by Gaurav Aroraa Tadit DashBuilding Complete E-commerce/Shopping Cart ApplicationKey FeaturesFollow best practices and explore techniques such as clustering and caching to achieve a reactive, scalable web serviceLeverage the .NET Framework to quickly implement RESTful endpoints.Learn to implement a client library for a RESTful web service using ASP.NET Core.Book DescriptionREST is an architectural style that tackles the challenges of building scalable web services. In today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs. The depth, breadth, and ease of use of ASP.NET Core makes it a breeze for developers to work with for building robust web APIs. This book takes you through the design of RESTful web services and leverages the ASP.NET Core framework to implement these services. This book begins by introducing you to the basics of the philosophy behind REST. You'll go through the steps of designing and implementing an enterprise-grade RESTful web service. This book takes a practical approach, that you can apply to your own circumstances. This book brings forth the power of the latest .NET Core release, working with MVC. Later, you will learn about the use of the framework to explore approaches to tackle resilience, security, and scalability concerns. You will explore the steps to improve the performance of your applications. You'll also learn techniques to deal with security in web APIs and discover how to implement unit and integration test strategies. By the end of the book, you will have a complete understanding of Building a client for RESTful web services, along with some scaling techniques.What you will learn Add basic authentication to your RESTful API Create a Carts Controller and Orders Controller to manage and process Orders Intercept HTTP requests and responses by building your own middleware Test service calls using Postman and Advanced REST Client Secure your data/application using annotationsWho this book is forThis book is intended for those who want to learn to build RESTful web services with the latest .NET Core Framework. To make best use of the code samples included in the book, you should have a basic knowledge of C# and .NET Core.
Building RESTful Web Services with Java EE 8: Create modern RESTful web services with the Java EE 8 API
by Mario-Leander ReimerLearn the fundamentals of Java EE 8 APIs to build effective web servicesKey FeaturesDesign modern and stylish web services with Java EE APIsSecure your web services with JSON Web TokensExplore the advanced concepts of RESTful web services and the JAX-RS API Book DescriptionJava Enterprise Edition is one of the leading application programming platforms for enterprise Java development. With Java EE 8 finally released and the first application servers now available, it is time to take a closer look at how to develop modern and lightweight web services with the latest API additions and improvements.Building RESTful Web Services with Java EE 8 is a comprehensive guide that will show you how to develop state-of-the-art RESTful web services with the latest Java EE 8 APIs. You will begin with an overview of Java EE 8 and the latest API additions and improvements. You will then delve into the details of implementing synchronous RESTful web services and clients with JAX-RS. Next up, you will learn about the specifics of data binding and content marshalling using the JSON-B 1.0 and JSON-P 1.1 APIs.This book also guides you in leveraging the power of asynchronous APIs on the server and client side, and you will learn to use server-sent events (SSEs) for push communication. The final section covers advanced web service topics such as validation, JWT security, and diagnosability.By the end of this book, you will have implemented several working web services and have a thorough understanding of the Java EE 8 APIs required for lightweight web service development.What you will learnDive into the latest Java EE 8 APIs relevant for developing web servicesUse the new JSON-B APIs for easy data bindingUnderstand how JSON-P API can be used for flexible processingImplement synchronous and asynchronous JAX-RS clientsUse server-sent events to implement server-side codeSecure Java EE 8 web services with JSON Web TokensWho this book is forIf you're a Java developer who wants to learn how to implement web services using the latest Java EE 8 APIs, this book is for you. Though no prior knowledge of Java EE 8 is required, experience with a previous Java EE version will be beneficial.
Building RESTful Web Services with Spring 5: Leverage the power of Spring 5.0, Java SE 9, and Spring Boot 2.0
by Ludovic Dewailly Raja Csp RamanFind out how to implement the REST architecture to build resilient software in Java with the help of the Spring 5.0 framework. Key Features ~Follow best practices and explore techniques such as clustering and caching to achieve a reactive, scalable web service,~Leverage the Spring Framework to quickly implement RESTful endpoints,~Learn to implement a client library for a RESTful web service using the Spring Framework along with the new front end framework. Book Description REST is an architectural style that tackles the challenges of building scalable web services. In today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs.The depth, breadth, and ease of use of Spring makes it one of the most attractive frameworks in the Java ecosystem. Marrying the two technologies is therefore a very natural choice.This book takes you through the design of RESTful web services and leverages the Spring Framework to implement these services. Starting from the basics of the philosophy behind REST, you'll go through the steps of designing and implementing an enterprise-grade RESTful web service. Taking a practical approach, each chapter provides code samples that you can apply to your own circumstances.This second edition brings forth the power of the latest Spring 5.0 release, working with MVC built-in as well as the front end framework. It then goes beyond the use of Spring to explores approaches to tackle resilience, security, and scalability concerns. Improve performance of your applications with the new HTTP 2.0 standards. You'll learn techniques to deal with security in Spring and discover how to implement unit and integration test strategies.Finally, the book ends by walking you through building a Java client for your RESTful web service, along with some scaling techniques using the new Spring Reactive libraries. What you will learn Deep dive into the principles behind REST Expose CRUD operations through RESTful endpoints with the Spring Framework Devise response formats and error handling strategies, offering a consistent and flexible structure to simplify integration for service consumers Follow the best approaches for dealing with a service's evolution while maintaining backward compatibility Understand techniques to secure web services Comply with the best ways to test RESTful web services, including tips for load testing Optimise and scale web services using techniques such as caching and clustering Who this book is for This book is intended for those who want to learn to build RESTful web services with the latest Spring 5.0 Framework. To make best use of the code samples included in the book, you should have a basic knowledge of the Java language. Previous experience with the Spring Framework would also help you get up and running quickly.
Building RESTful Web services with Go: Learn how to build powerful RESTful APIs with Golang that scale gracefully
by Anshul Joshi Naren YellavulaKey Features Follow best practices and explore techniques such as clustering and caching to achieve a reactive, scalable web service Leverage the Buffalo Framework to quickly implement RESTful endpoints Learn to implement a client library for a RESTful web service using Go Book Description REST is an architectural style that tackles the challenges of building scalable web services and in today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs. The depth, breadth, and ease of use of Go, makes it a breeze for developers to work with it to build robust Web APIs. This book takes you through the design of RESTful web services and leverages a framework like Buffalo Go to implement these services. The book starts with a brief introduction to REST API development and how it transformed the modern web. You will learn how to handle routing and authentication of web services along with working with middleware for internal service. The book explains how to use Go frameworks to build RESTful web services and work with MongoDB to create REST API. You will learn how to integrate Postgres SQL and JSON with a Go web service and build a client library in Go for consuming REST API. You will learn how to scale APIs using the microservice architecture and deploy the REST APIs using Nginx as a proxy server. Finally you will learn how to metricize a REST API using an API Gateway. By the end of the book you will be proficient in building RESTful APIs in Go. What you will learn Create HTTP handler and introspect the Gorilla Mux router OAuth 2 implementation with Go Build RESTFul API with go-restful, Revel.Go and Buffalo Go Create REST API with MongoDB and Go Build a working client library and unit test for REST API Debug, test, and profile RESTful APIs with each of the frameworks Optimize and scale REST API using microservices
Building React Apps with Server-Side Rendering: Use React, Redux, and Next to Build Full Server-Side Rendering Applications
by Mohit ThakkarLeverage the benefits of both client-side and server-side rendering to get the most out of your React applications. By the end of this book you will be able to build and deploy React applications using the Next.js framework to fully render server-side HTML on every Web page. You'll begin by reviewing JavaScript fundamentals and how they work with the core principles of React. You'll then move on to Next.js, the React framework for server-rendered applications. Using this framework, you will create a fast and secure solutional React application that renders content on the server-side, protects sensitive information, and optimizes response times. Before deploying the application using Docker containers, you'll create automated unit tests to verify that every component is appropriately doing its jobBuilding React Apps with Server-Side Rendering also covers other fun and interesting topics such as Bootstrap 4, JSX (JavaScript XML), adding styling to your React applications, and much more. By the end of this book, you will be able to build and deploy React applications that fully render server-side HTML on every page. In the end you'll have a client-side rendered React application that integrates server-side rendering into it using Next.js framework. What You'll Learn Examine fundamental concepts of JavaScript (ES 2015)Create client-side apps using JavaScript frameworks React and ReduxAdd server-side rendering to React apps using the NextJS Framework Who This Book Is For Web developers who have prior experience in working with JavaScript, HTML and CSS, who wish to step up a level and create better web applications using modern JavaScript frameworks like React, Reduct & Next.
Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot
by Mark NeedhamGain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly.Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service.You will:Learn common architectures for real-time analyticsDiscover how event processing differs from real-time analyticsIngest event data from Apache Kafka into Apache PinotCombine event streams with OLTP data using Debezium and Kafka StreamsWrite real-time queries against event data stored in Apache PinotBuild a real-time dashboard and order tracking appLearn how Uber, Stripe, and Just Eat use real-time analytics
Building Real-Time Marvels with Laravel: Create Dynamic and Interactive Web Applications
by Sivaraj SelvarajDive into the diverse facets of the Laravel ecosystem. This comprehensive guide will put you on the fast track to becoming an expert in Laravel development. Starting with the fundamentals, you’ll explore essential concepts, enabling you to grasp the framework's structure. Subsequent chapters cover intricate topics, such as advanced routing techniques, database management, and eloquent object relational mapping (ORM), allowing developers to build robust applications. The book offers comprehensive insights into building secure applications with authentication and authorization mechanisms, as well as constructing efficient APIs and employing caching techniques for enhanced performance. Chapters on real-time applications and queues offer practical knowledge to optimize application responsiveness. Advanced package development and performance monitoring provide valuable tools for developing high-quality Laravel packages and debugging. You’ll also gain expertise in internationalization, front-end development, and database optimization.Building Real-Time Marvels with Laravel doesn't shy away from the latest trends, featuring chapters on serverless computing, progressive web applications (PWAs), and UI/UX design patterns. It also emphasizes security, DevOps, and infrastructure automation. Bonus appendixes feature a handy Laravel cheat sheet, recommended resources, and a glossary of essential terms, making it a comprehensive reference for Laravel enthusiasts.What You Will Learn Gain a comprehensive understanding of advanced routing, database management with eloquent ORM, authentication, and API development.Study caching, database query optimization, queuing, and scaling strategies for high-traffic applicationsExplore advanced middleware, real-time applications, testing, and package development Who This Book Is ForIntermediate to advanced developers.
Building Recommendation Engines
by Suresh Kumar GorakalaUnderstand your data and user preferences to make intelligent, accurate, and profitable decisions About This Book • A step-by-step guide to building recommendation engines that are personalized, scalable, and real time • Get to grips with the best tool available on the market to create recommender systems • This hands-on guide shows you how to implement different tools for recommendation engines, and when to use which Who This Book Is For This book caters to beginners and experienced data scientists looking to understand and build complex predictive decision-making systems, recommendation engines using R, Python, Spark, Neo4j, and Hadoop. What You Will Learn • Build your first recommendation engine • Discover the tools needed to build recommendation engines • Dive into the various techniques of recommender systems such as collaborative, content-based, and cross-recommendations • Create efficient decision-making systems that will ease your work • Familiarize yourself with machine learning algorithms in different frameworks • Master different versions of recommendation engines from practical code examples • Explore various recommender systems and implement them in popular techniques with R, Python, Spark, and others In Detail A recommendation engine (sometimes referred to as a recommender system) is a tool that lets algorithm developers predict what a user may or may not like among a list of given items. Recommender systems have become extremely common in recent years, and are applied in a variety of applications. The most popular ones are movies, music, news, books, research articles, search queries, social tags, and products in general. The book starts with an introduction to recommendation systems and its applications. You will then start building recommendation engines straight away from the very basics. As you move along, you will learn to build recommender systems with popular frameworks such as R, Python, Spark, Neo4j, and Hadoop. You will get an insight into the pros and cons of each recommendation engine and when to use which recommendation to ensure each pick is the one that suits you the best. During the course of the book, you will create simple recommendation engine, real-time recommendation engine, scalable recommendation engine, and more. You will familiarize yourselves with various techniques of recommender systems such as collaborative, content-based, and cross-recommendations before getting to know the best practices of building a recommender system towards the end of the book! Style and approach This book follows a step-by-step practical approach where users will learn to build recommendation engines with increasing complexity in every chapter
Building Recommendation Systems in Python and JAX: Hands-On Production Systems at Scale
by Bryan Bischof Hector YeeImplementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way.In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, and Weights & Biases.You'll learn:The data essential for building a RecSysHow to frame your data and business as a RecSys problemWays to evaluate models appropriate for your systemMethods to implement, train, test, and deploy the model you chooseMetrics you need to track to ensure your system is working as plannedHow to improve your system as you learn more about your users, products, and business case