Research, strategize, market, and continuously measure the effectiveness of APIs to meet your SaaS business goals with this practical handbookKey Features:Transform your APIs into revenue-generating entities by turning them into productsMeet your business needs by improving the way you research, strategize, market, and measure resultsCreate and implement a variety of metrics to promote growthBook Description:APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation?API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation-an often-overlooked aspect of development.Of course, it's not all about the product-as any good product manager knows; you need to understand your customers' needs, expectations, and satisfaction too. Once you've gathered your data, you'll need to be able to derive actionable insights from it. This is where the book covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals.By the end of this book, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs.What You Will Learn:Build a long-term strategy for an APIExplore the concepts of the API life cycle and API maturityUnderstand APIs from a product management perspectiveCreate support models for your APIs that scale with the productApply user research principles to APIsExplore the metrics of activation, retention, engagement, and churnCluster metrics together to provide contextExamine the consequences of gameable and vanity metricsWho this book is for:If you're a product manager, engineer, or product executive charged with making the most of APIs for your SaaS business, then this book is for you. Basic knowledge of how APIs work and what they do is essential before you get started with this book, since the book covers the analytical side of measuring their performance to help your business grow.
Create stunning 3D print-ready models quickly and easily using any version of SketchUpPurchase of the print or Kindle book includes a free PDF eBookKey Features:Find out how to use SketchUp Free, Go, or Pro to create print-ready modelsWork through clearly illustrated examples to learn just how to design for 3D printingModel multiple pieces that can be assembled post-printBook Description:Working with the amazing 3D printing technology and getting access to the printing hardware is now easier than ever before. While there are many other resources that cover the general process of 3D printing, this book is the ultimate guide to creating models for 3D printing using SketchUp.You'll start with a basic understanding of how SketchUp is used in the 3D printing workflow and jump into the steps to create a print-ready model using only SketchUp. This 3D printing book will guide you in using SketchUp to modify existing 3D files and cover additional tools that make SketchUp an even more powerful modeling tool. As you advance, you'll learn how to transform 2D images into 3D printable solids, how to create multi-part prints that can be assembled without the use of fasteners or glue, and how to make sure your model, whether designed from scratch or assembled from preexisting geometry, is ready to be made real via your 3D printer.By the end of this book, you'll have the confidence to bring your design ideas to life by generating your own 3D print-ready models with SketchUp.What You Will Learn:Understand SketchUp's role in the 3D printing workflowGenerate print-ready geometry using SketchUpImport existing files for editing in SketchUpVerify whether a model is ready to be printed or notModel from a reference object and use native editing toolsExplore the options available for adding onto SketchUp for the purpose of 3D printing (extensions)Understand the steps to export a file from SketchUpWho this book is for:If you own or have access to a 3D printer and are tired of downloading and printing other people's 3D models, this book is for you! Learn how to use SketchUp to create your own custom pieces or modify existing files so you can print exactly what you need. Whether you are an architect hoping to print buildings, a designer needing quick physical prototypes, or a hobbyist wanting to print a tchotchke, this book is for you. Readers should have completed some training in fundamentals in SketchUp and be able to create and edit basic geometry.
Develop strategic plans for building cybersecurity programs and prepare your organization for compliance investigations and auditsKey Features:Get started as a cybersecurity executive and design an infallible security programPerform assessments and build a strong risk management frameworkPromote the importance of security within the organization through awareness and training sessionsBook Description:Ransomware, phishing, and data breaches are major concerns affecting all organizations as a new cyber threat seems to emerge every day, making it paramount to protect the security of your organization and be prepared for potential cyberattacks. This book will ensure that you can build a reliable cybersecurity framework to keep your organization safe from cyberattacks.This Executive's Cybersecurity Program Handbook explains the importance of executive buy-in, mission, and vision statement of the main pillars of security program (governance, defence, people and innovation). You'll explore the different types of cybersecurity frameworks, how they differ from one another, and how to pick the right framework to minimize cyber risk. As you advance, you'll perform an assessment against the NIST Cybersecurity Framework, which will help you evaluate threats to your organization by identifying both internal and external vulnerabilities. Toward the end, you'll learn the importance of standard cybersecurity policies, along with concepts of governance, risk, and compliance, and become well-equipped to build an effective incident response team.By the end of this book, you'll have gained a thorough understanding of how to build your security program from scratch as well as the importance of implementing administrative and technical security controls.What You Will Learn:Explore various cybersecurity frameworks such as NIST and ISOImplement industry-standard cybersecurity policies and procedures effectively to minimize the risk of cyberattacksFind out how to hire the right talent for building a sound cybersecurity team structureUnderstand the difference between security awareness and trainingExplore the zero-trust concept and various firewalls to secure your environmentHarden your operating system and server to enhance the securityPerform scans to detect vulnerabilities in softwareWho this book is for:This book is for you if you are a newly appointed security team manager, director, or C-suite executive who is in the transition stage or new to the information security field and willing to empower yourself with the required knowledge. As a Cybersecurity professional, you can use this book to deepen your knowledge and understand your organization's overall security posture. Basic knowledge of information security or governance, risk, and compliance is required.
Take your first step in building modern-day component-based web apps using the latest features and capabilities of React and TypeScript with this easy-to-follow guideKey FeaturesLearn to use different React hooks with TypeScriptExplore different styling approaches while building React web appsGain experience in using React Dev Tools to debug componentsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionReading, navigating, and debugging a large frontend codebase is a major issue faced by frontend developers. This book is designed to help web developers like you learn about ReactJS and TypeScript, both of which power large-scale apps for many organizations.This second edition of Learn React with TypeScript is updated, enhanced, and improved to cover new features of React 18 including hooks, state management libraries, and features of TypeScript 4. The book will enable you to create well-structured and reusable React components that are easy to read and maintain, leveraging modern design patterns.You'll be able to ensure that all your components are type-safe, making the most of TypeScript features, including some advanced types. You'll also learn how to manage complex states using Redux and how to interact with a GraphQL web API. Finally, you'll discover how to write robust unit tests for React components using Jest.By the end of the book, you'll be well-equipped to use both React and TypeScript.What you will learnGain first-hand experience of TypeScript and its productivity featuresUnderstand how to transpile your TypeScript code into JavaScript for running in a browserBuild a React frontend codebase with hooksInteract with REST and GraphQL web APIsDesign and develop strongly typed reusable componentsCreate automated component testsWho this book is forThis book is for experienced frontend developers looking to build large scale web applications using React and TypeScript. Intermediate knowledge of JavaScript, HTML and CSS is a prerequisite.Table of ContentsIntroducing ReactIntroducing TypeScriptSetting Up React and TypeScriptUsing React HooksApproaches to Styling React FrontendsRouting with React RouterWorking with FormsState ManagementInteracting with RESTful APIsInteracting with GraphQL APIsReusable ComponentsUnit Testing with Jest and React Testing Library
Gain an in-depth understanding of Microsoft Defender 365, explore its features, and learn successful implementation strategies with this expert-led practitioner's guide.Key FeaturesUnderstand the history of MDE, its capabilities, and how you can keep your organization secureLearn to implement, operationalize, and troubleshoot MDE from both IT and SecOps perspectivesLeverage useful commands, tips, tricks, and real-world insights shared by industry expertsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWith all organizational data and trade secrets being digitized, the threat of data compromise, unauthorized access, and cyberattacks has increased exponentially. Microsoft Defender for Endpoint (MDE) is a market-leading cross-platform endpoint security solution that enables you to prevent, detect, investigate, and respond to threats. MDE helps strengthen the security posture of your organization.This book starts with a history of the product and a primer on its various features. From prevention to attack surface reduction, detection, and response, you'll learn about the features, their applicability, common misconceptions, and caveats. After planning, preparation, deployment, and configuration toward successful implementation, you'll be taken through a day in the life of a security analyst working with the product. You'll uncover common issues, techniques, and tools used for troubleshooting along with answers to some of the most common challenges cybersecurity professionals face. Finally, the book will wrap up with a reference guide with tips and tricks to maintain a strong cybersecurity posture.By the end of the book, you'll have a deep understanding of Microsoft Defender for Endpoint and be well equipped to keep your organization safe from different forms of cyber threats.What you will learnUnderstand the backstory of Microsoft Defender for EndpointDiscover different features, their applicability, and caveatsPrepare and plan a rollout within an organizationExplore tools and methods to successfully operationalize the productImplement continuous operations and improvement to your security postureGet to grips with the day-to-day of SecOps teams operating the productDeal with common issues using various techniques and toolsUncover commonly used commands, tips, and tricksWho this book is forThis book is for cybersecurity professionals and incident responders looking to increase their knowledge of MDE and its underlying components while learning to prepare, deploy, and operationalize the product. A basic understanding of general systems management, administration, endpoint security, security baselines, and basic networking is required.Table of ContentsA Brief History of Microsoft Defender for EndpointExploring Next-Generation ProtectionIntroduction to Attack Surface ReductionUnderstanding Endpoint Detection and ResponsePlanning and Preparing for DeploymentConsiderations for Deployment and ConfigurationManaging and Maintaining the Security PostureEstablishing Security OperationsTroubleshooting Common IssuesReference Guide, Tips, and Tricks
Move up the Kaggle leaderboards and supercharge your data science and machine learning career by analyzing famous competitions and working through exercises.Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features:Challenge yourself to start thinking like a Kaggle GrandmasterFill your portfolio with impressive case studies that will come in handy during interviewsPacked with exercises and notes pages for you to enhance your skills and record key findingsBook Description:More than 80,000 Kaggle novices currently participate in Kaggle competitions. To help them navigate the often-overwhelming world of Kaggle, two Grandmasters put their heads together to write The Kaggle Book, which made plenty of waves in the community. Now, they've come back with an even more practical approach based on hands-on exercises that can help you start thinking like an experienced data scientist.In this book, you'll get up close and personal with four extensive case studies based on past Kaggle competitions. You'll learn how bright minds predicted which drivers would likely avoid filing insurance claims in Brazil and see how expert Kagglers used gradient-boosting methods to model Walmart unit sales time-series data. Get into computer vision by discovering different solutions for identifying the type of disease present on cassava leaves. And see how the Kaggle community created predictive algorithms to solve the natural language processing problem of subjective question-answering.You can use this workbook as a supplement alongside The Kaggle Book or on its own alongside resources available on the Kaggle website and other online communities. Whatever path you choose, this workbook will help make you a formidable Kaggle competitor.What You Will Learn:Take your modeling to the next level by analyzing different case studiesBoost your data science skillset with a curated selection of exercisesCombine different methods to create better solutionsGet a deeper insight into NLP and how it can help you solve unlikely challengesSharpen your knowledge of time-series forecastingChallenge yourself to become a better data scientistWho this book is for:If you're new to Kaggle and want to sink your teeth into practical exercises, start with The Kaggle Book, first. A basic understanding of the Kaggle platform, along with knowledge of machine learning and data science is a prerequisite.This book is suitable for anyone starting their Kaggle journey or veterans trying to get better at it. Data analysts/scientists who want to do better in Kaggle competitions and secure jobs with tech giants will find this book helpful.
Intelligently connect data points and gain a deeper understanding of environmental problems through hands-on Geospatial Data Science case studies written in PythonThe book includes colored images of important conceptsKey Features:Learn how to integrate spatial data and spatial thinking into traditional data science workflowsDevelop a spatial perspective and learn to avoid common pitfalls along the wayGain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expandedBook Description:Data scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python.Throughout this book, you'll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You'll learn how to read, process, and manipulate spatial data effectively. With data in hand, you'll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you'll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries.By the end of the book, you'll be able to tackle random data, find meaningful correlations, and make geospatial data models.What You Will Learn:Understand the fundamentals needed to work with geospatial dataTransition from tabular to geo-enabled data in your workflowsDevelop an introductory portfolio of spatial data science work using PythonGain hands-on skills with case studies relevant to different industriesDiscover best practices focusing on geospatial data to bring a positive change in your environmentExplore solving use cases, such as traveling salesperson and vehicle routing problemsWho this book is for:This book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You'll need to have a foundational knowledge of Python for data analysis and/or data science.
Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysisPurchase of the print or Kindle book includes a free PDF eBookKey Features:Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysisFind out how to work with different data types such as strings, numbers, date, and timeBuild your first model and visualize data with ease through advanced plot types and with ggplot2Book Description:In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you'll need plenty of tools that enable you to extract the most useful knowledge from data.Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization.The book begins by teaching you how to load and explore datasets. Then, you'll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you'll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards.By the end of this book, you'll have learned how to create your first data model and build an application with Shiny in R.What You Will Learn:Discover how to load datasets and explore data in RWork with different types of variables in datasetsCreate basic and advanced visualizationsFind out how to build your first data modelCreate graphics using ggplot2 in a step-by-step way in Microsoft Power BIGet familiarized with building an application in R with ShinyWho this book is for:If you are a professional data analyst, data scientist, or beginner who wants to learn more about data wrangling, this book is for you. Familiarity with the basic concepts of R programming or any other object-oriented programming language will help you to grasp the concepts taught in this book. Data analysts looking to improve their data manipulation and visualization skills will also benefit immensely from this book.
Gain the skills and knowledge to manage your core network services on Red Hat Enterprise Linux with help of self-tests and practical use casesKey Features:Get the EX358 certification with this easy-to-follow guide while preparing for real-life challengesLearn everything you need to know about Linux system administration and automation using Ansible 2.9Use practical use cases and exam-focused questions to prepare for the certification examBook Description:If you're ready to take the next step in your system engineering career with the EX358, then this book is for you. Packed with all the knowledge and skills that you need to configure and maintain services and applications on the Red Hat Linux 8 (RHEL OS 8) platform, this book will help you ace the exam and thrive at work.Red Hat Certified Specialist in Service Management and Automation will help you build a solid foundation of the most recent and up-to-date exam requirements and practice questions.Throughout the course of the book, you'll get hands-on experience with different technical processes needed to fully administer a Red Hat Enterprise Linux 8 system. This will include file storage, database management, direct configuration of applications, such as SMB shares, networking. You'll be well equipped with the configuration of essential components like firewall, SELinux, and iSCSI while learning how to automate these tasks using Ansible Automation 2.9 in order to alleviate the burden of completing them by hand.By the end of this book, you'll have covered all essential topics to ace the Red Hat EX358 certification exam and add another feather to your career as a Red Hat Certified Specialist.What You Will Learn:Attain the skills to take and pass the Red Hat EX358 certification examBecome familiar with the ways of leveraging Ansible Core 2.9Gain deeper knowledge of the Red Hat Linux Networking with DNS, DHCP, and IP addressingCreate your own link and master the networking domain through link aggregation creationSet up printers and email services through Linux serversGet up and running with MariaDB SQL databasesExplore how to create and control web trafficWho this book is for:This book is for you if you want to advance your career by adding the essential Red Hat certificate to your resume. It will be particularly useful for system administrators responsible for managing large enterprise environments, network services and Red Hat Certified Engineers interested in becoming a Red Hat Certified Architect (RHCA). Before reading this book, you must have a working knowledge of Red Hat Enterprise Linux and Ansible Automation and command line usage of Red Hat Enterprise Linux systems administration.
Use GitLab CI/CD pipelines for automating and deploying different steps of your software development lifecycle using best practices and troubleshooting methods.Key FeaturesReap the power of GitLab CI/CD pipelines at every stage of your software development lifecycleLearn how GitLab makes Git easier to use and more powerful when committing and reviewing codeCement your understanding using hands-on tutorials and extensive self-assessment exercisesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook DescriptionDevelopers and release engineers understand the high stakes involved in building, packaging, and deploying code correctly. Ensuring that your code is functionally correct, fast, and secure is a time-consuming and complex task. Code implementation, development, and deployment can be conducted efficiently using GitLab CI/CD pipelines.Automating DevOps with GitLab CI/CD Pipelines begins with the basics of Git and GitLab, showing how to commit and review code. You'll learn to set up GitLab Runners for executing and autoscaling CI/CD pipelines and creating and configuring pipelines for many software development lifecycle steps. You'll also discover where to find pipeline results in GitLab, and how to interpret those results. Through the course of the book, you'll become well-equipped with deploying code to different environments, advancing CI/CD pipeline features such as connecting GitLab to a Kubernetes cluster and using GitLab with Terraform, triggering pipelines and improving pipeline performance and using best practices and troubleshooting tips for uncooperative pipelines. In-text examples, use cases, and self-assessments will reinforce the important CI/CD, GitLab, and Git concepts, and help you prepare for interviews and certification exams related to GitLab.By the end of this book, you'll be able to use GitLab to build CI/CD pipelines that automate all the DevOps steps needed to build and deploy high-quality, secure code.What you will learnGain insights into the essentials of Git, GitLab, and DevOpsUnderstand how to create, view, and run GitLab CI/CD pipelinesExplore how to verify, secure, and deploy code with GitLab CI/CD pipelinesConfigure and use GitLab Runners to execute CI/CD pipelinesExplore advanced GitLab CI/CD pipeline features like DAGs and conditional logicFollow best practices and troubleshooting methods of GitLab CI/CD pipelinesImplement end-to-end software development lifecycle workflows using examplesWho this book is forThis book is for DevOps/DevSecOps engineers, application developers, release engineers, quality assurance engineers, security engineers, SREs, and sysadmins looking to implement fast, secure and automated software development lifecycle tasks using continuous integration and continuous delivery (CI/CD) pipelines in GitLab. Basic knowledge of major stages of the software development life cycle and DevOps processes will be helpful.Table of ContentsExploring the Life Before DevOpsPracticing Basic Git CommandsUnderstanding GitLab ComponentsUnderstanding GitLab CI/CD Pipeline StructureInstalling and Configuring GitLab RunnersVerifying Your CodeSecuring Your CodePackaging and Deploying Your CodeEnhancing Speed and Maintainability of CI/CD PipelinesExtending the Reach of CI/CD PipelinesEnd-to-End ExampleTroubleshooting and Moving Ahead with GitLabAppendix: Self-Assessment Questions and Answers
A Go programmer's hands-on guide to go from building basic server-side templates to full single page apps using Tailwind CSS, Vue.js, and moreKey Features:Learn how to structure your Go projects, be smarter with SQLc, create middleware and secure your appsExplore different frontend frameworks and dive into Vue and Tailwind CSSUse Terraform and Docker and deploy in minutesBook Description:Go is a modern programming language with capabilities to enable high-performance app development. With its growing web framework ecosystem, Go is a preferred choice for building complete web apps. This practical guide will enable you to take your Go skills to the next level building full stack apps.This book walks you through creating and developing a complete modern web service from auth, middleware, server-side rendering, databases, and modern frontend frameworks and Go-powered APIs. You'll start by structuring the app and important aspects such as networking, before integrating all the different parts together to build a complete web product. Next, you'll learn how to build and ship a complete product by starting with the fundamental building blocks of creating a Go backend. You'll apply best practices for cookies, APIs, and security, and level up your skills with the fastest growing frontend framework, Vue. Once your full stack application is ready, you'll understand how to push the app to production and be prepared to serve customers and share it with the world.By the end of this book, you'll have learned how to build and ship secure, scalable, and complete products and how to combine Golang with existing products using best practices.What You Will Learn:Discover how to quickly scaffold, structure, and build your Golang applicationsDesign and build databases using PostgreSQL and SQLc to generate type-safe SQL codeMonitor applications with centralized logging and metrics collection for high performanceExplore frontend frameworks and libraries such as Vuetify, Buefy, and Tailwind CSS to build a responsive frontend for your appCommunicate securely between the frontend and backend with cookies and session handling with middlewareUnderstand how to package applications using Docker and set up CI pipelines in GitHubWho this book is for:This book is for Go programmers who want to combine the power of the Go language with modern web development technologies to build complete web apps from frontend to backend. The book assumes beginner-level knowledge of HTML, CSS, and the web.
Build powerful applications that impact business immediately with no-code app developmentKey Features:Understand the different capabilities, features, and low-code functionalities of Betty Blocks with real-world use casesExplore applications that impact your business right away with rapid application developmentDevelop dynamic web applications with easy drag-and-drop functionalities from Betty BlocksBook Description:This practical guide on no-code development with Betty Blocks will take you through the different features, no-code functionalities, and capabilities of the Betty Blocks platform using real-world use cases. The book will equip you with the tools to develop business apps based on various data models, business processes, and more.You'll begin with an introduction to the basic concepts of the Betty Blocks no-code platform, such as developing IT solutions on various use cases including reporting apps, data tracking apps, workflows, and business processes. After getting to grips with the basics, you'll explore advanced concepts such as building powerful applications that impact the business straight away with no-code application development and quickly creating prototypes. The concluding chapters will help you get a solid understanding of rapid application development, building customer portals, building dynamic web apps, drag-and-drop front ends, visual modelling capabilities, and complex data models.By the end of this book, you'll have gained a comprehensive understanding of building your own applications as a citizen developer using the Betty Blocks no-code platform.What You Will Learn:Understand what you can achieve with citizen developmentFind out how to build your first application with no-code developmentGet to grips with the basics of the Betty Blocks platform as a citizen developerDiscover how to build your own application or prototypeBuild business applications based on data models and business processesEnable developers to include additional functionality for citizen developersWho this book is for:This book is for citizen developers and business users who want to build applications to fulfill their business needs without depending on developers. Prior knowledge of coding and application development is not necessary, but it will speed up your learning.
GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API is a comprehensive book on the Generative Pre-trained Transformer 3 AI language model, covering its significance, capabilities, and application in creating innovative NLP Products. Key Features:Exploration of GPT-3: The book explores GPT-3, a powerful language model, and its capabilities Business applications: The book provides practical knowledge on using GPT-3 to create new business products Examination of AI trends: The book examines the impact of GPT-3 on emerging creator economy and trends like no-code & AGI Book Description:GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use. The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3. Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3. Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem. What You Will Learn:Learn the essential components of the OpenAI API along with the best practices Build and deploy your first GPT-3 powered application Learn from the journeys of industry leaders, startup founders who have built and deployed GPT-3 based products at scale Look at how enterprises view GPT-3 and its potential for adoption for scalable solutions Navigating the Consequences of GPT-3 adoption and efforts to resolve them Explore the exciting trends and possibilities of combining models with GPT-3 with No code Who this book is for:This book caters to individuals from diverse backgrounds, not just technical experts. It should be useful to you if you are: A data expert seeking to improve your AI expertise An entrepreneur looking to revolutionize the AI industry A business leader seeking to enhance your AI knowledge and apply it to informed decision making A content creator in the language domain looking to utilize GPT-3's language abilities for creative and imaginative projects Anyone with an AI idea that was previously deemed technically unfeasible or too costly to execute
Want to become a PowerPoint Pro? Written by a PowerPoint expert and Microsoft MVP, this book helps you create visually appealing PowerPoint presentations using advanced tools, features, and expert techniques for better impactPurchase of the print or Kindle book includes a free PDF eBookKey Features- Learn how to plan your content and prepare your PowerPoint masters- Create beautiful content using PowerPoint features and add-ins- Deliver impressive presentations by leveraging PowerPoint's advanced delivery toolsBook DescriptionGiving great business presentations that stand out can mean the difference between getting and losing out on an important promotion, a critical client deal, or a grant. To start creating PowerPoint presentations that showcase your ideas in the best light possible, you'll need more than attractive templates; you'll need to leverage PowerPoint's full range of tools and features.This is where this PowerPoint book comes in, leading you through the steps that will help you plan, create, and deliver more impactful and professional-looking presentations. The book is designed in a way to take you through planning your content efficiently and confidently preparing PowerPoint masters. After you've gotten to grips with the basics, you'll find out how to create visually appealing content using the application's lesser known, more advanced features, including useful third-party add-ins. The concluding chapters will equip you with PowerPoint's advanced delivery tools, which will enable you to deliver memorable presentations.By the end of this book, you'll be able to confidently choose processes to create and deliver impactful presentations more efficiently.What you will learn- Plan your PowerPoint presentation content and know your audience- Prepare PowerPoint masters to speed up the development process and maintain consistency- Add and modify visual and multimedia elements- Use transitions and animations efficiently- Build flexibility and interactivity into your presentations- Practice your delivery with Presenter Coach- Leverage Presenter View during delivery to increase your confidence- Use PowerPoint Live in Teams for easy-to-manage remote presentationsWho this book is forIf you are a business professional looking for best practices for presentations and are interested in the features PowerPoint has to offer to help you create and deliver impactful presentations, this book is for you. No formal presentation design knowledge is needed, but you do need to know PowerPoint's basic tools and functions such as starting and saving files, adding, copying, pasting, or moving slides. A sound understanding of cloud storage and the use of Office 365 is also needed.Table of Contents- Analyzing your Audience and Presentation Delivery Needs- Using Industry Best Practices to Design Better Visuals- Leveraging PowerPoint's Slide Master for Design- Using PowerPoint's Document Masters for Accessible Handouts and Notes- Using Artificial Intelligence to Improve Your Visuals- Adding and Modifying Visual Elements- Adding and Modifying Multimedia Elements- Working with Transitions and Animations- Building Flexibility and Interactivity into Your Presentations- Using PowerPoint Third-Party Add-Ins- Practicing Your Presentation Delivery- Using Presenter View- Using PowerPoint Live in Microsoft Teams
Build your expertise in developing dynamic web experiences by leveraging all-new capabilities of Drupal 10Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesDesign your digital experience platform with robust content management and editorial workflowsWrite custom modules to extend Drupal to meet your requirements by creating customized plugins, entity types, and pagesEnhance your Drupal site using modern frontend development build toolsBook DescriptionThis new and improved third edition cookbook is packed with the latest Drupal 10 features such as a new, flexible default frontend theme - Olivero, and improved administrative experience with a new theme - Claro. This comprehensive recipe book provides updated content on the WYSIWYG (What You See Is What You Get) editing experience, improved core code performance, and code cleanup.Drupal 10 Development Cookbook begins by helping you create and manage a Drupal site. Next, you'll get acquainted with configuring the content structure and editing content. You'll also get to grips with all new updates of this edition, such as creating custom pages, accessing and working with entities, running and writing tests with Drupal, migrating external data into Drupal, and turning Drupal into an API platform. As you advance, you'll learn how to customize Drupal's features with out-of-the-box modules, contribute extensions, and write custom code to extend Drupal.By the end of this book, you'll be able to create and manage Drupal sites, customize them to your requirements, and build custom code to deliver your projects.What you will learnCreate and manage a Drupal site's codebaseDesign tailored content creator experiencesLeverage Drupal by creating customized pages and pluginsTurn Drupal into an API platform for exposing content to consumersImport data into Drupal using the data migration APIsAdvance your Drupal site with modern frontend tools using Laravel MixWho this book is forIf you are a beginner or an intermediate Drupal developer, looking to jumpstart your journey in application building, then this book is for you. Basic knowledge of web development is required.Table of ContentsUp and Running with DrupalContent Building ExperienceDisplaying Content through ViewsExtending Drupal with Custom CodeCreating Custom PagesAccessing and working with entitiesCreating Forms with the Form APIPlug and Play with PluginsCreating Custom Entity TypeTheming and Frontend DevelopmentMultilingual and InternationalizationBuilding APIs with DrupalWriting Automated Tests in DrupalMigrating External Data into Drupal
Successfully modernize your apps on Azure using APIs, event-driven systems, functions, and Service Fabric and connect them to different relational and non-relational databasesPurchase of the print or Kindle book includes a free PDF eBookKey Features:Understand Function-as-a-Service and Azure Service Fabric for distributed applicationsDevelop event-based and message-based solutions using Event Grid and Azure Event HubsExplore continuous deployment for Docker with Azure DevOps and integrate Docker Hub with CI/CD pipelinesBook Description:To deliver software at a faster rate and reduced costs, companies with stable legacy systems and growing data volumes are trying to modernize their applications and accelerate innovation, but this is no easy matter. A Developer's Guide to Building Resilient Cloud Applications with Azure helps you overcome these application modernization challenges to build secure and reliable cloud-based applications on Azure and connect them to databases with the help of easy-to-follow examples.The book begins with a basic definition of serverless and event-driven architecture and Database-as-a-Service, before moving on to an exploration of the different services in Azure, namely Azure APIManagement using the gateway pattern, event-driven architecture, Event Grid, Azure Event Hubs, Azure message queues, FaaS using Azure Functions, and the database-oriented cloud. Throughout the chapters, you'll learn about creating, importing, and managing APIs and Service Fabric in Azure, and discover how to ensure continuous integration and deployment in Azure to fully automate the software delivery process, that is, the build and release process.By the end of this book, you'll be able to build and deploy cloud-oriented applications using APIs, serverless, Service Fabric, Azure Functions, and Event Grid technologies.What You Will Learn:Understand the architecture of Azure Functions and Azure Service FabricExplore Platform-as-a-Service options for deploying SQL Server in AzureCreate and manage Azure Storage and Azure Cosmos DB resourcesLeverage big data storage in Azure servicesSelect Azure services to deploy according to a specific scenarioSet up CI/CD pipelines to deploy container applications on Azure DevOpsGet to grips with API gateway patterns and Azure API ManagementWho this book is for:This book is for cloud developers, software architects, system administrators, database administrators, data engineers, developers, and computer science students who want to understand the role of the software architect or developer in the cloud world. Professionals looking to enhance their cloud and cloud-native programming concepts on Azure will also find this book useful. A solid background in C#, ASP.NET Core, and any recent version of Visual Studio and basic knowledge of cloud computing, Microsoft Azure, and databases will be helpful when using this book.
Learn the right way to discover, report, and publish security vulnerabilities to prevent exploitation of user systems and reap the rewards of receiving credit for your workKey Features:Build successful strategies for planning and executing zero-day vulnerability researchFind the best ways to disclose vulnerabilities while avoiding vendor conflictLearn to navigate the complicated CVE publishing process to receive credit for your researchBook Description:Vulnerability researchers are in increasingly high demand as the number of security incidents related to crime continues to rise with the adoption and use of technology. To begin your journey of becoming a security researcher, you need more than just the technical skills to find vulnerabilities; you'll need to learn how to adopt research strategies and navigate the complex and frustrating process of sharing your findings. This book provides an easy-to-follow approach that will help you understand the process of discovering, disclosing, and publishing your first zero-day vulnerability through a collection of examples and an in-depth review of the process.You'll begin by learning the fundamentals of vulnerabilities, exploits, and what makes something a zero-day vulnerability. Then, you'll take a deep dive into the details of planning winning research strategies, navigating the complexities of vulnerability disclosure, and publishing your research with sometimes-less-than-receptive vendors.By the end of the book, you'll be well versed in how researchers discover, disclose, and publish vulnerabilities, navigate complex vendor relationships, receive credit for their work, and ultimately protect users from exploitation. With this knowledge, you'll be prepared to conduct your own research and publish vulnerabilities.What You Will Learn:Find out what zero-day vulnerabilities are and why it's so important to disclose and publish themLearn how vulnerabilities get discovered and published to vulnerability scanning toolsExplore successful strategies for starting and executing vulnerability researchDiscover ways to disclose zero-day vulnerabilities responsiblyPopulate zero-day security findings into the CVE databasesNavigate and resolve conflicts with hostile vendorsPublish findings and receive professional credit for your workWho this book is for:This book is for security analysts, researchers, penetration testers, software developers, IT engineers, and anyone who wants to learn how vulnerabilities are found and then disclosed to the public. You'll need intermediate knowledge of operating systems, software, and interconnected systems before you get started. No prior experience with zero-day vulnerabilities is needed, but some exposure to vulnerability scanners and penetration testing tools will help accelerate your journey to publishing your first vulnerability.
A hands-on guide to working on use cases helping you ingest, analyze, and serve insightful data from IoT as well as telemetry data sources using Azure Synapse Data ExplorerFree PDF included with this bookKey Features:Augment advanced analytics projects with your IoT and application dataExpand your existing Azure Synapse environments with unstructured dataBuild industry-level projects on integration, experimentation, and dashboarding with Azure SynapseBook Description:Large volumes of data are generated daily from applications, websites, IoT devices, and other free-text, semi-structured data sources. Azure Synapse Data Explorer helps you collect, store, and analyze such data, and work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you extract from data.This book offers a comprehensive view of Azure Synapse Data Explorer, exploring not only the core scenarios of Data Explorer but also how it integrates within Azure Synapse. From data ingestion to data visualization and advanced analytics, you'll learn to take an end-to-end approach to maximize the value of unstructured data and drive powerful insights using data science capabilities. With real-world usage scenarios, you'll discover how to identify key projects where Azure Synapse Data Explorer can help you achieve your business goals. Throughout the chapters, you'll also find out how to manage big data as part of a software as a service (SaaS) platform, as well as tune, secure, and serve data to end users.By the end of this book, you'll have mastered the big data life cycle and you'll be able to implement advanced analytical scenarios from raw telemetry and log data.What You Will Learn:Integrate Data Explorer pools with all other Azure Synapse servicesCreate Data Explorer pools with Azure Synapse Studio and Azure PortalIngest, analyze, and serve data to users using Azure Synapse pipelinesIntegrate Power BI and visualize data with Synapse StudioConfigure Azure Machine Learning integration in Azure SynapseManage cost and troubleshoot Data Explorer pools in Synapse AnalyticsSecure Synapse workspaces and grant access to Data Explorer poolsWho this book is for:If you are a data engineer, data analyst, or business analyst working with unstructured data and looking to learn how to maximize the value of such data, this book is for you. If you already have experience working with Azure Synapse and want to incorporate unstructured data into your data science project, you'll also find plenty of useful information in this book. To maximize your learning experience, familiarity with data and performing simple queries using SQL or KQL is recommended. Basic knowledge of Python will help you get more from the examples.
Supercharge your data with the limitless potential of Neo4j 5, the premier graph database for cutting-edge machine learningPurchase of the print or Kindle book includes a free PDF eBookKey Features:Extract meaningful information from graph data with Neo4j's latest version 5Use Graph Algorithms into a regular Machine Learning pipeline in PythonLearn the core principles of the Graph Data Science Library to make predictions and create data science pipelines.Book Description:Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance.Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You'll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you'll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you'll be able to integrate graph algorithms into your ML pipeline.By the end of this book, you'll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.What You Will Learn:Use the Cypher query language to query graph databases such as Neo4jBuild graph datasets from your own data and public knowledge graphsMake graph-specific predictions such as link predictionExplore the latest version of Neo4j to build a graph data science pipelineRun a scikit-learn prediction algorithm with graph dataTrain a predictive embedding algorithm in GDS and manage the model storeWho this book is for:If you're a data scientist or data professional with a foundation in the basics of Neo4j and are now ready to understand how to build advanced analytics solutions, you'll find this graph data science book useful. Familiarity with the major components of a data science project in Python and Neo4j is necessary to follow the concepts covered in this book.
Create interpretable AI models for transparent and explainable anomaly detection with this hands-on guidePurchase of the print or Kindle book includes a free PDF eBookKey Features:Build auditable XAI models for replicability and regulatory complianceDerive critical insights from transparent anomaly detection modelsStrike the right balance between model accuracy and interpretabilityBook Description:Despite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance.Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that'll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and deep learning techniques described in this book, you'll discover how to successfully extract business-critical insights while ensuring fair and ethical analysis.This practical guide will provide you with tools and best practices to achieve transparency and interpretability with deep learning models, ultimately establishing trust in your anomaly detection applications. Throughout the chapters, you'll get equipped with XAI and anomaly detection knowledge that'll enable you to embark on a series of real-world projects. Whether you are building computer vision, natural language processing, or time series models, you'll learn how to quantify and assess their explainability.By the end of this deep learning book, you'll be able to build a variety of deep learning XAI models and perform validation to assess their explainability.What You Will Learn:Explore deep learning frameworks for anomaly detectionMitigate bias to ensure unbiased and ethical analysisIncrease your privacy and regulatory compliance awarenessBuild deep learning anomaly detectors in several domainsCompare intrinsic and post hoc explainability methodsExamine backpropagation and perturbation methodsConduct model-agnostic and model-specific explainability techniquesEvaluate the explainability of your deep learning modelsWho this book is for:This book is for anyone who aspires to explore explainable deep learning anomaly detection, tenured data scientists or ML practitioners looking for Explainable AI (XAI) best practices, or business leaders looking to make decisions on trade-off between performance and interpretability of anomaly detection applications. A basic understanding of deep learning and anomaly detection-related topics using Python is recommended to get the most out of this book.
Master Tableau fundamentals and get the one and only Tableau certification that never expires, while expediting your journey from zero to certificationKey Features:Learn how Tableau works inside and out for basic as well as intermediate uses of the applicationGain knowledge from a Tableau visionary and ambassador who successfully passed the examination in 2021Understand what is needed to pass a knowledge-based examination without having to use Tableau in the processBook Description:The Tableau Desktop Specialist certification is fundamental for any data visualization professional who works in the field with Tableau.This book gets you started by covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. It also builds on your knowledge of advanced Tableau topics to get you up to speed with the essential domains and domain objectives. Although the guide provides an outline and starting point to key in on what needs to be understood before the examination, it also delivers in context to give you a strong understanding of each piece before taking the exam. Instructions on how to get hands on with examples, a common data source, and suggested elements are also included. Understanding the concepts will not only assist you in passing the examination, but will also help you work effectively with the tool in your workspace.By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the author.What You Will Learn:Understand how to add data to the applicationExplore data for insights in TableauDiscover what charts to use when visualizing for audiencesUnderstand functions, calculations and the basics of parametersWork with dimensions, measures and their variationsContextualize a visualization with marksShare insights and focus on editing a Tableau visualizationWho this book is for:If you're a data analyst, data scientist, or if you just want to enhance your data visualization tool stack, this book is for you. It's designed for those without prior and those with minimal exposure to Tableau, which also means it's useful for anyone moving into their first role that relies on data visualization.
Implement an enterprise solution for your company using a 360 degree perspective of Microsoft Power Platform and the advantages of Microsoft Power BI, Power Apps, Power Automate, Azure, and Dynamics 365Key Features:Explore various Microsoft cloud components and identify the best ones to enhance your solutionsGet to grips with Microsoft Power Platform's security and extensibility, integration, and data migration modelsDiscover architectural best practices and case studies for designing complex enterprise solutionsBook Description:Microsoft Power Platform Enterprise Architecture offers an array of architectural best practices and techniques for any forward-looking enterprise architect or decision maker who wants to know more about integrating solutions to serve growing business needs. With this book, you'll learn about the tools available in the Power Platform suite and identify which are appropriate for your business. Then, you'll integrate them seamlessly with various other Microsoft 365 and Azure components.Unlike many other overwhelmingly long and unstructured resources, this book covers essential concepts using one concise yet practical example that is revisited throughout the book. You'll develop the skills you need to architect, design, and manage a complex solution as you follow the journey of a fictitious enterprise customer as they enter the world of Power Platform. Throughout the book, you'll discover how to combine the functionality of Microsoft Power PI, Power Automate, Power Apps, and Power Virtual Agents with various methodologies to effectively address application lifecycle management, security, and extensibility. You'll also learn how to overcome common challenges in migrating data to and from Microsoft Power Platform using proven techniques.By the end of this Microsoft book, you'll have the strategic perspective of an enterprise architect, enabling you to make accurate architectural decisions for your complex Power Platform projects.What You Will Learn:Understand various Microsoft Dynamics 365 CRM, ERP, and AI modules for creating Power Platform solutionsCombine Power Platform capabilities with Microsoft 365 and AzureFind out which regions, staging environments, and user licensing groups need to be employed when creating enterprise solutionsImplement sophisticated security by using various authentication and authorization techniquesExtend Microsoft Power BI, Power Apps, and Power Automate to create custom applicationsIntegrate your solution with various in-house Microsoft components or third-party systems using integration patternsWho this book is for:If you're an enterprise architect or a technical decision maker looking to design complex solutions using Microsoft Power Platform to serve growing business needs and to stay competitive in the modern IT world, then this book is for you. Familiarity with the Microsoft Power Platform and Azure services will help you follow along with this book
Save time and effort when building 3D scenes with this essential guide to creating stunning photorealistic 3D environments in BlenderKey Features:Reveal modeling tricks to make your Blender 3D environments look realisticDiscover techniques to enhance the photorealism of your scenes while saving timeSet up realistic lighting in your scenes to make your environment look pleasing to the eyeBook Description:Blender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don't be discouraged! 3D Environment Design with Blender will get you up and running.This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you'll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you'll create from scratch. Once you've developed your natural environment, you'll advance to creating realistic render shots by applying cool camera features, and compositing tricks that will make your final render look photorealistic and pleasing to the eye.By the end of this book, you'll be able to implement modeling tricks and best practices to make your 3D environments look stunningly lifelike.What You Will Learn:Understand how to avoid the most common modeling mistakes 3D designers makeCreate realistic landscapes using Blender's built-in A.N.T Landscape add-onBuild natural assets such as rocks, flowers, plants, and rivers that you can customize and use in a variety of projectsCreate realistic materials such as snow, mud, wood and animated waterUse the particle system to generate realistic grass, as well as scatter flowers and rocksApply the five lighting rules to achieve great photorealistic resultsUse nodes and materials effectively to produce impressive resultsWho this book is for:This book is for 3D environment artists and open-world game designers who have tried designing 3D environments but have trouble finding the right Blender settings. If you feel overwhelmed understanding how nodes and materials work in Blender, this book will simplify it for you and help you achieve photorealism in your environments in no time. Familiarity with the Blender interface is expected to get the most out of this book.
Master the capabilities of PostgreSQL 15 to efficiently administer and maintain your database.Purchase of the print or Kindle book includes a free PDF eBook.Key Features:Using real world examples, get to grips with expert PostgreSQL 15 conceptsExplore performance improvement, database replication, data replication, database administration, and moreExtend PostgreSQL's functionalities to suit your organization's needs with minimal effortBook Description:Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system.You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you'll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases.By the end of this PostgreSQL book, you'll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.What You Will Learn:Make use of the indexing features in PostgreSQL and fine-tune the performance of your queriesWork with stored procedures and manage backup and recoveryGet the hang of replication and failover techniquesImprove the security of your database server and handle encryption effectivelyTroubleshoot your PostgreSQL instance for solutions to common and not-so-common problemsPerform database migration from Oracle to PostgreSQL with easeWho this book is for:This database administration book is for PostgreSQL developers, database administrators, and professionals who want to implement advanced functionalities and master complex administrative tasks with PostgreSQL 15. Prior experience in PostgreSQL and familiarity with the basics of database administration will assist with understanding key concepts covered in the book.
Demystify automation and solve control-related problems with the help of real-world products and case studies put together by two industrial automation expertsKey Features:Real life applications and case studies of automation curated from authors rich experienceOvercome tricky automation and control issues in the manufacturing processImplement automation in manufacturing for higher efficiency and productivity in the industryBook Description:Engineering disciplines focus mainly on programming control systems, while the challenges they overcome or their industry applications largely go uncovered, leaving a huge gap between the theory and industry practices. This leads to engineers learning about subjects without actually understanding their purpose and entering the industry needing months of training.The Art of Manufacturing cuts across pedantic theory and reaches practical applications. You'll begin your learning journey by starting from the product and moving backward to the manufacturing landscape, factories, machines, and finally to the automation and control challenges faced in manufacturing. The book builds on the authors' valuable on-field experience, providing a detailed view of the manufacturing of real-world products, while simultaneously providing various analogies and references to daily tasks. As you advance through the chapters, you'll work on interesting control problems and find out how to overcome them in applications. The concluding chapters offer you a sneak peek into the future of automation and factories.By the end of this book, you'll be able to relate a real-world product with an associated control challenge and discover ways to overcome these challenges.What You Will Learn:Understand the role of machines, factories, and plants in manufacturing a productExplore the manufacturing landscape and its continuous evolutionUse practical applications to mitigate control challenges in manufacturingResolve implementation challenges of various applications in a machineDiscover how humans and automation work together in factoriesFind out how to solve the same control challenge in different waysDiscover links between Industry 3.0, Industry 4.0, digitalization, and lean manufacturingWho this book is for:The book will interest an inquisitive student of engineering (electrical, electronics, mechatronics, E&TC) who wishes to explore beyond the classroom textbook content. It will also serve as a teacher's handbook helping the lecturer bring the flair of industry into the classroom. Moreover, it will be useful for a practicing engineer, with cross-disciplinary knowledge that is needed to manufacture any real product. You must have basic knowledge of electronics, electrical, and mechatronics (engineering).
Build and deploy modern and secure applications on Microsoft Azure by implementing best practices, patterns, and new technologies with this easy-to-follow guidePurchase of the print or Kindle book includes a free PDF eBookKey Features:Learn various methods to migrate legacy applications to cloud using different Azure servicesImplement continuous integration and deployment as a best practice for DevOps and agile developmentGet started with building cloud-based applications using containers and orchestrators in different scenariosBook Description:Companies face several challenges during cloud adoption, with developers and architects needing to migrate legacy applications and build cloud-oriented applications using Azure-based technologies in different environments. A Developer's Guide to Cloud Apps Using Microsoft Azure helps you learn how to migrate old apps to Azure using the Cloud Adoption Framework and presents use cases, as well as build market-ready secure and reliable applications.The book begins by introducing you to the benefits of moving legacy apps to the cloud and modernizing existing ones using a set of new technologies and approaches. You'll then learn how to use technologies and patterns to build cloud-oriented applications. This app development book takes you on a journey through three major services in Azure, namely Azure Container Registry, Azure Container Instances, and Azure Kubernetes Service, which will help you build and deploy an application based on microservices. Finally, you'll be able to implement continuous integration and deployment in Azure to fully automate the software delivery process, including the build and release processes.By the end of this book, you'll be able to perform application migration assessment and planning, select the right Azure services, and create and implement a new cloud-oriented application using Azure containers and orchestrators.What You Will Learn:Get to grips with new patterns and technologies used for cloud-native applicationsMigrate old applications and databases to Azure with easeWork with containers and orchestrators to automate app deploymentSelect the right Azure service for deployment as per the use casesSet up CI/CD pipelines to deploy apps and services on Azure DevOpsLeverage Azure App Service to deploy your first applicationBuild a containerized app using Docker and Azure Container RegistryWho this book is for:This book is for cloud developers, software architects, system administrators, developers, and computer science students looking to understand the new role of the software architect or developer in the cloud world. Professionals looking to enhance their cloud and cloud-native programming concepts will also find this book useful. A sound background in C#, ASP.NET Core, and Visual Studio (any recent version) and basic knowledge of cloud computing will be helpful.
Unravel the power of Java design patterns by learning where to apply them effectively to solve specific software design and development problemsKey Features:Decouple logic across objects with dependency injection by creating various vehicles with featuresFinalize vehicle construction by chaining handlers using the Chain of Responsibility PatternPlan and execute an advanced vehicle sensor initiation with the Scheduler PatternBook Description:Design patterns are proven solutions to standard problems in software design and development, allowing you to create reusable, flexible, and maintainable code. This book enables you to upskill by understanding popular patterns to evolve into a proficient software developer.You'll start by exploring the Java platform to understand and implement design patterns. Then, using various examples, you'll create different types of vehicles or their parts to enable clarity in design pattern thinking, along with developing new vehicle instances using dedicated design patterns to make the process consistent. As you progress, you'll find out how to extend vehicle functionalities and keep the code base structure and behavior clean and shiny. Concurrency plays an important role in application design, and you'll learn how to employ a such design patterns with the visualization of thread interaction. The concluding chapters will help you identify and understand anti-pattern utilization in the early stages of development to address refactoring smoothly. The book covers the use of Java 17+ features such as pattern matching, switch cases, and instances of enhancements to enable productivity.By the end of this book, you'll have gained practical knowledge of design patterns in Java and be able to apply them to address common design problems.What You Will Learn:Understand the most common problems that can be solved using Java design patternsUncover Java building elements, their usages, and concurrency possibilitiesOptimize a vehicle memory footprint with the Flyweight PatternExplore one-to-many relations between instances with the observer patternDiscover how to route vehicle messages by using the visitor patternUtilize and control vehicle resources with the thread-pool patternUnderstand the penalties caused by anti-patterns in software designWho this book is for:If you are an intermediate-level Java developer or software architect looking to learn the practical implementation of software design patterns in Java, then this book is for you. No prior knowledge of design patterns is required, but an understanding of Java programming is necessary.
Kick-start your learning journey and implement both Kubernetes and cloud-native technologies in real-life scenarios with this essential, practical guide to the KCNA examPurchase of the print or Kindle book includes a free PDF eBookKey Features:Gain an in-depth understanding of cloud-native computing and Kubernetes conceptsPrepare for the KCNA exam with the help of practical examples and mock examsManage your applications better with Kubernetes container orchestrationBook Description:The job market related to the cloud and cloud-native technologies is both growing and becoming increasingly competitive, making certifications like KCNA a great way to stand out from the crowd and learn about the latest advancements in cloud technologies.Becoming KCNA Certified doesn't just give you the practical skills needed to deploy and connect applications in Kubernetes, but it also prepares you to pass the Kubernetes and Cloud Native Associate (KCNA) exam on your first attempt.The book starts by introducing you to cloud-native computing, containers, and Kubernetes through practical examples, allowing you to test the theory out for yourself. You'll learn how to configure and provide storage for your Kubernetes-managed applications and explore the principles of modern cloud-native architecture and application delivery, giving you a well-rounded view of the subject. Once you've been through the theoretical and practical aspects of the book, you'll get the chance to test what you've learnt with two mock exams, with explanations of the answers, so you'll be well-prepared to appear for the KCNA exam.By the end of this Kubernetes book, you'll have everything you need to pass the KCNA exam and forge a career in Kubernetes and cloud-native computing.What You Will Learn:Get to grips with Cloud Native Computing Foundation (CNCF) and its projectsBuild, configure, and run containers with DockerBootstrap minimal Kubernetes clusters for learningManage and encrypt container traffic with Service MeshDeploy, configure, and update applications on KubernetesControl and connect the applications that run on KubernetesManage storage and provide observability on KubernetesAutomate software development with CI/CD and GitOpsWho this book is for:This book is for DevOps engineers, system administrators, developers, fresh IT graduates, or anyone interested in cloud native architecture, applications, and technologies. Those with relevant work experience looking to upskill themselves in order to manage their applications with Kubernetes in a better way will also find this book helpful. Familiarity with IT fundamentals, networks, and command line interface (CLI) is required, but no prior knowledge of Kubernetes, docker, or cloud services is needed to get started with this book.
A must-have Kubernetes book to learn key concepts for succeeding in any production environment, be it a greenfield Kubernetes environment or your cloud-native journeyKey Features:Advance in your Kubernetes journey with guidance from a seasoned k8s practitioner and trainerDiscover best practices for implementing Kubernetes in any production environmentGo beyond the basics and work with Kubernetes applications in every environmentBook Description:Kubernetes is a trending topic among engineers, CTOs, CIOs, and other technically sound professionals. Due to its proliferation and importance for all cloud technologies, DevOps engineers nowadays need a solid grasp of key Kubernetes concepts to help their organization thrive.This book equips you with all the requisite information about how Kubernetes works and how to use it for the best results. You'll learn everything from why cloud native is important to implementing Kubernetes clusters to deploying applications in production. This book takes you on a learning journey, starting from what cloud native is and how to get started with Kubernetes in the cloud, on-premises, and PaaS environments such as OpenShift. Next, you'll learn about deploying applications in many ways, including Deployment specs, Ingress Specs, and StatefulSet specs. Finally, you'll be comfortable working with Kubernetes monitoring, observability, and security. Each chapter of 50 Kubernetes Concepts Every DevOps Engineer Should Know is built upon the previous chapter, ensuring that you develop practical skills as you work through the code examples in GitHub, allowing you to follow along while giving you practical knowledge.By the end of this book, you'll be able to implement Kubernetes in any environment, whether it's an existing environment, a greenfield environment, or your very own lab running in the cloud or your home.What You Will Learn:Find out how Kubernetes works on-premises, in the cloud, and in PaaS environmentsWork with networking, cluster management, and application deploymentUnderstand why cloud native is crucial for Kubernetes applicationsDeploy apps in different states, including Stateless and StatefulMonitor and implement observability in your environmentExplore the functioning of Kubernetes security at the cluster, user, and application levelWho this book is for:This book is for cloud engineers, developers, DevOps engineers, and infrastructure engineers responsible for inheriting a Kubernetes environment or creating a greenfield Kubernetes environment. If you are a professional who wants to get started with cloud-native applications and implement k8s best practices, then this book is a must-read. If you have engineered environments in the cloud and on-premises and understand how to deploy applications with a solid tenure in a developer role, this book will help you further your skills.
Become a creative JavaScript professional by creating and animating stunning 3D, browser-based graphics with Three.js from beginning to endPurchase of the print or Kindle book includes a free eBook in PDF formatKey Features:- Enhance your 3D graphics with light sources, shadows, advanced materials, and textures- Load models from external sources, visualize and, animate them directly using JavaScript- Create your own custom WebGL shader, explore Three.js' postprocessing feature, and learn how to integrate with Blender, React, and TypescriptBook Description:Three.js has become the industry standard for creating stunning 3D WebGL content. In this edition, you'll learn about all the features of Three.js and understand how to integrate it with the newest physics engines. You'll also develop a strong grip on creating and animating immersive 3D scenes directly in your browser, reaping the full potential of WebGL and modern browsers.The book starts with the basic concepts and building blocks used in Three.js and helps you explore these essential topics in detail through extensive examples and code samples. You'll learn how to create realistic-looking 3D objects using textures and materials and how to load existing models from an external source. Next, you'll understand how to control the camera using the Three.js built-in camera controls, which will enable you to fly or walk around the 3D scene you've created. Later chapters will cover the use of HTML5 video and canvas elements as materials for your 3D objects to animate your models. You'll learn how to use morph targets and skeleton-based animation, before understanding how to add physics, such as gravity and collision detection, to your scene. Finally, you'll master combining Blender with Three.js and creating VR and AR scenes.By the end of this book, you'll be well-equipped to create 3D-animated graphics using Three.js.What You Will Learn:- Implement the different camera controls provided by Three.js to navigate your 3D scene- Discover working with vertices directly to create snow, rain, and galaxy-like effects- Import and animate models from external formats, such as glTF, OBJ, STL, and COLLADA- Design and run animations using morph targets and bone-based animation- Create realistic-looking 3D objects using advanced textures on materials- Interact directly with WebGL by creating custom vertex and fragment shaders- Make scenes using the Rapier physics engine, and integrate Three.js with VR and ARWho this book is for:This book is for JavaScript developers looking to learn the use of Three.js library.Table of Contents- Creating Your First 3D Scene withThree.js- The Basic Components that Make up a Three.js Application- Working with Light Sources in Three.js- Working with Three.js Materials- Learning to Work with Geometries- Exploring Advanced Geometries- Points and Sprites- Creating and Loading Advanced Meshes and Geometries- Animations and moving the camera- Loading and Working with Textures- Render Postprocessing- Adding Physics and Sounds to Your Scene- Working with Blender and Three.js- Three.js together with React, Typescript, and Web-XR
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