Search results for ""APress""

Make designing and developing accessible websites fun and straightforward by deciphering information that is often confusing. This book examines how web professionals can ensure a website is as accessible as it can be, meeting the needs of its audience. The main focus is on web accessibility and, WCAG 2.1 and 2.2 guidelines: what they are, who they are for, and what can be done from a design point of view to make the lives of the users easier. In reviewing the fundamentals, emphasis will be given on what disabilities could potentially prevent users from getting the information they need and what can be done to help them. This is achieved by breaking down web design and development terms and practices, such as web accessibility, color contrast, typography, how to design specific components like carousels, forms, and so on. Each chapter features design examples presented in a clear and concise manner. Each design element is divided into different components, highlighting exactly what helps with what, showing how a website needs to be designed for the benefit of its people. A11Y Unraveled also reviews the current laws and legislations that govern web accessibility in different parts of the world.What You'll Learn Discover how people perceive information on the web, and how that might create barriers in communication. Review different disabilities or limitations that prevent users from accessing web information and how to address them. Design an accessible website for specific disabilities through practical examples. Understand how different web design components affect the user. Study current web accessibility legislation, avoiding difficult to understand lingo. Who This Book Is ForMain audience would be digital and web professionals (mainly designers but developers can benefit as well). It can also help business owners who want to ensure their websites are adhere to accessibility standards.

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This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a “develop from scratch” method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, you’ll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide. After completing this book, you will have a firm grasp of Bayesian optimization techniques, which you’ll be able to put into practice in your own machine learning models.What You Will Learn Apply Bayesian Optimization to build better machine learning models Understand and research existing and new Bayesian Optimization techniques Leverage high-performance libraries such as BoTorch, which offer you the ability to dig into and edit the inner working Dig into the inner workings of common optimization algorithms used to guide the search process in Bayesian optimization Who This Book Is ForBeginner to intermediate level professionals in machine learning, analytics or other roles relevant in data science.

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Assess, plan, develop, implement, and manage AWS EC2 Instances, Cloud Formation using JSON Template with Bash programming language, and Cloud Watch monitoring. This book helps the public and private sectors comprehend how to assess and evaluate AWS cloud software as a service (SaaS), infrastructure as a service (IaaS), and platform as a service (PaaS).Government and business sector entities are looking for strategies to upgrade on-premises information systems to virtual cloud infrastructure orchestration and automation. You'll gain a step-by-step approach to planning, developing, implementing, and managing cloud infrastructure, services, and platforms that help reduce cost increases, scalability, and improves security. Outline your strategy to research how cloud infrastructure is planned and developed before being deployed and managed by on-premises IT team members. This book also supports cloud services for AWS and helps you understand why supporting and using AWS for cloud services is beneficial both short and long-term.Once you complete this book, you'll be able to make logical decisions regarding AWS use cases for public and private sector entities, including disaster recovery and backup, IT self-service, Web applications, and messaging. What You'll Learn Assess different cloud services provided by Amazon Look at Cloud as a Service (CAAS) Understand internet protocol, packet switching, authoritative, recursive, and open-flow Review cloud infrastructure planning methods Examine Cloud orchestration and automation Work with the AWS total cost of ownership calculator Who This book Is ForThis book is aimed at business, government, non-profit organizations, academic institutions, and financial institutions interested in upgrading to AWS cloud architect infrastructure as a primary mode of data transmission, storage, and security at a scalable and economical annual cost.

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Build products on top of Ethereum's new and expansive technological stack. Writing any good web application requires planning, care, and deft technical skills, but Ethereum's execution model presents its own challenges for engineers wishing to build applications on top of its smart contract layer. Building performant and engaging product experiences is one of the most important – and often underappreciated – roles in any company. This book looks at the full product stack needed to build such experiences on top of Ethereum smart contracts, weaving tutorials and case studies through more conversational discussions of the various constraints, trade-offs, and complexities involved in doing so. You’ll learn about the fundamentals of Ethereum from a new perspective, developing a strong understanding of how the Ethereum Virtual Machine (EVM) works and how it affects product engineering, as well as all the pieces of technology that go into decentralized apps (dapps) behind the front end: RPC nodes, wallets, indexers, application hosts, and more. You’ll be exposed to plenty of UI, JavaScript code, and idiomatic ways to bring on-chain data into your front ends. And you’ll be given up-to-date knowledge of the best practices and future possibilities that decentralized computation might offer the product engineer.What You Will Learn Understand the EVM and how it works Gain insight into smart contracts and how apps connect to them Understand the difference between live data and indexed data How decentralization affects the UI of applications Build engaging, tasteful product experiences on top of Ethereum Who This Book Is ForA confident – mid-level or senior – software engineer or web developer who hasn’t properly branched out into Ethereum; someone who might have scratched the surface, but wants a deeper understanding of the principles behind dapps, and who wants a head start on the hurdles faced while building them.

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Understand the power of dynamic arrays: a single formula can generate new and vastly more efficient spreadsheet possibilities. This book introduces spreadsheet users to dynamic array functions in Microsoft Excel 365, defines and details the distinctive ways in which they work, and shows how they can be applied to a wide swath of data-analytic tasks.While array formulas and functions have long held a place in the spreadsheet toolbox (although, for many of us, shunted to an obscure corner), the dynamic array engine offers a more user-friendly and intelligible set of means for manipulating spreadsheet data in the array mode. The single-formula, multi-cell capability of dynamic arrays has been extended to nearly all existing spreadsheet functions, offering a new, default way of working. As a result, many tasks can now be executed with dynamic arrays without having to resort to the new functions at all.After defining arrays and dynamic array formulas, this book helps you examine the dynamic array property of lifting and how it impacts the formulas, including those written with existing functions. Plenty of illustrations and formulas along the way help you get comfortable using them. From there, you will learn Excel 365’s new dynamic functions, including the 14 currently in rollout, each accompanied by instructive examples. In many cases, the examples demonstrate how the new functions can work with long-available functions, such as MID, IF, COUNTIF, etc., which now also boast dynamic array functionality. What You Will Learn Unlock the dynamic array potential in Microsoft Excel Apply dynamic array functions and confidently direct them to real-world spreadsheet tasks Know the distinctive ways in which arrays work and can be applied to numerous data-analytic tasks Who This Book Is ForUsers of Excel 365 and beyond who are comfortable with, but not necessarily expert in, formula writing, as well as those who are unaware of or not fluent with dynamic arrays. It is also valuable to data journalists and other professionals in need of spreadsheet skills who may unaware of dynamic arrays, and the time they could save by applying them to their work.

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Gather and analyze data successfully, identify trends, and then create overarching strategies and actionable next steps - all through Excel. This book will show even those who lack a technical background how to make advanced interactive reports with only Excel at hand. Advanced visualization is available to everyone, and this step-by-step guide will show you how.The information in this book is presented in an accessible and understandable way for everyone, regardless of the level of technical skills and proficiency in MS Excel. The dashboard development process is given in the format of step-by-step instructions, taking you through each step in detail. Universal checklists and recommendations of a practicing business analyst and trainer will help in solving various tasks when working with data visualization. Illustrations will help you perceive information easily and quickly. Make Your Data Speak will show you how to master the main rules, techniques and tricks of professional data visualization in just a few days.What You'll Learn See how interactive dashboards can be useful for a business Review basic rules for building dashboards Understand why it's important to pay attention to colors and fonts when developing a dashboard Create interactive management reports in Excel Who This Book is ForCompany executives and divisional managers, Middle managers, business analysts

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Upgrade your knowledge to learn S/4HANA, the latest version of the SAP ERP system, with its built-in intelligent technologies, including AI, machine learning, and advanced analytics.Since the first edition of this book published as SAP ERP Financial and Controlling: Configuration and Use Management, the perspective has changed significantly as S/4HANA now comes with new features, such as FIORI (new GUI), which focuses on flexible app style development and interactivity with mobile phones. It also has a universal journal, which helps in data integration in a single location, such as centralized processing, and is faster than ECC S/3. It merges FI & CO efficiently, which enables document posting in the Controlling area setup. General Ledger Accounts (FI) and Cost Element (CO) are mapped together in a way that cost elements (both primary and secondary) are part of G/L accounts. And a mandatory setup of customer-vendor integration with business partners is included vs the earlier ECC creation with separate vendor master and customer master.This updated edition presents new features in SAP S/4HANA, with in-depth coverage of the FI syllabus in SAP S/4HANA. A practical and hands-on approach includes scenarios with real-life examples and practical illustrations. There is no unnecessary jargon in this configuration and end-user manual.What You Will Learn Configure SAP FI as a pro in S/4 Master core aspects of Financial Accounting and Controlling Integrate SAP Financial with other SAP modules Gain a thorough hands-on experience with IMG (Implementation Guide) Understand and explain the functionalities of SAP FI Who This Book Is ForFI consultants, trainers, developers, accountants, and SAP FI support organizations will find the book an excellent reference guide. Beginners without prior FI configuration experience will find the step-by-step illustrations to be practical and great hands-on experience.

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Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code.You'll start by learning how to use tensors to develop and fine-tune neural network models and implement deep learning models such as LSTMs, and RNNs. Next, you'll explore probability distribution concepts using PyTorch, as well as supervised and unsupervised algorithms with PyTorch. This is followed by a deep dive on building models with convolutional neural networks, deep neural networks, and recurrent neural networks using PyTorch. This new edition covers also topics such as Scorch, a compatible module equivalent to the Scikit machine learning library, model quantization to reduce parameter size, and preparing a model for deployment within a production system. Distributed parallel processing for balancing PyTorch workloads, using PyTorch for image processing, audio analysis, and model interpretation are also covered in detail. Each chapter includes recipe code snippets to perform specific activities.By the end of this book, you will be able to confidently build neural network models using PyTorch.What You Will Learn Utilize new code snippets and models to train machine learning models using PyTorch Train deep learning models with fewer and smarter implementations Explore the PyTorch framework for model explainability and to bring transparency to model interpretation Build, train, and deploy neural network models designed to scale with PyTorch Understand best practices for evaluating and fine-tuning models using PyTorch Use advanced torch features in training deep neural networks Explore various neural network models using PyTorch Discover functions compatible with sci-kit learn compatible models Perform distributed PyTorch training and execution Who This Book Is ForMachine learning engineers, data scientists and Python programmers and software developers interested in learning the PyTorch framework.

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Unlike other resources that target only programming communities, this book targets both programming and business communities. With programming models shifting more towards no-code and low-code, citizen programmers from the business side will welcome this book as a guide for how to design and optimize their information pipeline while lowering costs for infrastructure. Programmers, on the other hand, will welcome this book's business-centric programming view, which will get them a step closer to fulfilling real business requirements. Practical Spring Cloud Function touches on the themes of portability, scalability, high performance and high availability. Each theme is explored via a real enterprise use case and code. The use cases target industries including energy (oil pipeline sensors), automotive (event-driven connected vehicles), and retail (conversational AI). After reading this book, you'll come away with the know-how to build and deploy cloud-native Java applications effectively and efficiently. What You Will Learn Write functions and deploy to Amazon Web Services, Microsoft Azure, Google Cloud, IBM Cloud, and on-prem clouds such as VMWare Tanzu and RedHat OpenShift Set up locally with KNative on Kubernetes, as well as on AWS, Azure, GCP, Tanzu, and others Build, test, and deploy a simple example with Spring Cloud Function Develop an event-driven data pipeline with Spring Cloud Function Integrate with AI and machine learning models Apply Spring Cloud Function to the Internet of Things (IoT) Get industry-specific examples of Spring Cloud Function in action Who This Book Is For Software and cloud-native application developers with prior programming experience in the cloud and/or Spring Framework. DevOps professionals may find this book beneficial as well.

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Navigating the fragmented IoT connectivity ecosystem of standards, protocols, and architectures can be a challenge. Not to mention scaling a solution to a viable product. This book guides you through this fractured landscape with real world examples and projects that can be leverage for an IoT product. Backed by an overview of IoT use cases and key connectivity elements of IoT solutions, you'll gain an understanding of the breadth of the IoT landscape and the fragmentation of connectivity standards and solutions and the challenge in navigating the many standards and technologies. You'll also be able to understand the essentials of connectivity including, hardware, software, and business models. ​IoT is essential for increasing productivity of many industries and quality of life (making the world smart and autonomous). Both wired and wireless connectivity technologies are essential ingredients in an IoT product. Written by Intel engineers and architects, Connecting the Internet of Things understands that connectivity is a key topic of IoT and comprehensively covers the topic from a system engineering and practical perspective.What You'll Learn Understand the trade offs between different wireless technologies and network topologies Use wireless technologies in IoT products Examine connectivity technologies and considerations on selecting it for the IoT use cases Assemble all of the components of a working solution Scale your solution to a product Review emerging connectivity technologies for addressing new use cases Advance and optimize the performance of existing technologies Who This Book Is ForResearchers, managers, strategists, technologists, makers, and students in the embedded and Internet of Things (IoT) space trying to understand and implement connectivity in the devices/platforms.

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This book takes developers on a journey into the cloud with Docker and Kubernetes. It walks you through the basics of Docker containers, how they are built, run, and published, and how the Kubernetes system allows you to use containers to better manage a cloud native application. Additionally, it walks you through various issues in cloud architecture, and how to design a cloud architecture that will work with your application and your team. The book takes a unique approach, getting you immersed in each subject with tutorials, then building up your technical knowledge, and finally backing up and thinking about more big-picture issues. Part one introduces Docker, building and working with Docker images, and covering best practices for Docker Containers. Part two covers the practicalities of "cloud native” and managing a Kubernetes application, including a full working example. The last part covers the design of cloud and microservice architectures, including the use of enterprise message queues, multi-site configurations and the common values that such architectures follow.This approach accelerates learning and keeps you moving forward without leaving you behind. The appendices also contain a wealth of worthwhile reference material for routine cloud application management.What You Will Learn Understand Docker and containerization Gain insight into what Kubernetes is Master essential cloud architecture design principles Design and implement notes for building cloud architectures Who This Book Is ForPrimarily developers who are moving to the cloud and want to get a sense of the environment they are getting into, and developers who want to move into a larger role of cloud architecture.

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This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will Learn Optimize core operations based on N-dimensional arrays Design and implement an industry-level algorithmic differentiation module Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation Use the Zoo system for efficient scripting, code sharing, service deployment, and composition Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.

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Learn the basics, followed by the more advanced skills you will need to become an Enterprise Linux administrator. This book will prepare you to use Linux effectively with a clearer understanding of what is needed to successfully leverage new opportunities.After building a solid Linux knowledge foundation, you will learn how three major community Linux distributions are installed, configured, and used. The book will then guide you through all the different configurations a Linux administrator should know, along with some useful exercises for you to practice. Moving on, you will look at Enterprise Linux distributions, and how they are installed and configured. This will be the step that will elevate you from being a Linux administrator to an enterprise Linux administrator. You will also learn how an enterprise Linux administrator configures Linux security, high availability, automation, and large-scale Linux deployments. These skills are required when working in larger Linux estates. Finally, you'll review backups, recovery, and some general troubleshooting.By the end of this book, you'll not only learn how to become an Enterprise Linux administrator but will also learn what certifications are vital when competing for new career opportunities.What You'll Learn Install your own Linux environment Study the basics to configuring Linux Become an Enterprise Linux administrator and how to get there Review comprehensive examples on how to use Linux Who This Book Is ForThose in the IT industry who have no Linux training or experience who wish to learn how to manage a Linux system

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This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.What You Will Learn Master the mathematical foundations required for business analytics Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task Use R and Python to develop descriptive models, predictive models, and optimize models Interpret and recommend actions based on analytical model outcomes Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

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Gain skills in image and logo manipulation that will enhance your designs and make them more appealing--either in your portfolio or for your client’s next graphic project.As Adobe's Photoshop and Illustrator have evolved, new and unique features have been added to these programs that offer different options for warping and distorting graphics and shapes. For the beginner and intermediate student or graphic artist, choosing or knowing which distort or warp tool to use among so many available can become overwhelming and confusing.This book primarily focuses on teaching how to work with various warping tools and filters in Photoshop, though you will also be using graphics acquired from Adobe Illustrator. Knowing how to work between these two applications is a crucial part of understanding how to successfully manipulate your designs. In Photoshop, you'll see how to alter both raster images and vector graphics, and learn how to do this with layers in various non-destructive ways. Some of the filters mentioned in this book will be familiar to you, as you may have used them frequently. However, others are well hidden, are new, or perhaps you have never considered that you could use that tool, dialog box, or filter to warp or distort. What You Will Learn Become proficient in using the warping and distorting tools and filters in Photoshop, as well as how to correct basic distortions in photos and add perspective Grasp transferring illustrations from Illustrator for use in Photoshop Discover how to warp and distort type Generate unique patterns Work with Smart Object Layers and Smart Filters Work in combination with older tools and newer, enhanced ones Who This Book Is ForBeginner- and Intermediate-level readers interested in pursuing careers as graphic artists, photographers, or video artists/animators.

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Build solid software with modern and safe concurrency features. Concurrency is one of the hardest problems in computer science. For years, computer scientists and engineers have developed different strategies for dealing with concurrency. However, the original concurrency primitives are complicated and difficult to understand, and even harder to implement. Using the new async/await APIs in Swift, this book will explain how your code can abstract a lot of the complexity with a simpler interface so you never have to deal with concurrency primitives such as semaphores, locks, and threads yourself. This will allow you to write concurrent code that is easier to read, easier to write, and easier to maintain. These new APIs are deeply ingrained into Swift, offering compile-level features that will keep you from writing dangerous concurrent code. You’ll start by exploring why concurrency is hard to implement in a traditional system. Explaining the definition of concurrency and what its primitives are will help you understand why they are hard to use correctly. These concepts will become clearer as you work through the sample projects. The book’s focus then shifts exclusively to the new APIs, helping you understand how the integration of the system with the language itself makes it easier for you to write concurrent code without overstepping the bounds of the concurrency safe zone. By the end of the book, you’ll have a solid foundation for working safely with concurrent code using the new async/await APIs.What You'll Learn Understand concurrency and its traditional problems Work with the new async/await API and all its features, from the basic usage and await keywords, to task groups and async sequences. Implement modern and safe concurrent code that you can start using right away Who This Book Is For Experienced iOS developers at a semi-senior or senior level. Knowledge on the Grand Central Dispatch is a bonus, but not required.

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This open access book. Use this practical guide to understand the concepts behind Intelligent Multi-modal Security Systems (IMSS) and how to implement security within an IMSS system to improve the robustness of the devices and of the end-to-end solution.There are nearly half a million active IMSS cameras globally, with over 100 million added annually. These cameras are used across enterprises (companies, traffic monitoring, driver enforcement, etc.), in peoples’ homes, on mobile devices (drones, on-vehicle, etc.), and are worn on the body.IMSS systems with a camera and network video recorder for storage are becoming the normal infrastructure for capturing, storing, and transmitting video content (sometimes up to 100 streams) in a secure manner and while protecting privacy.Military, aerospace, and government entities are also embracing digital security and surveillance. IMSS content serves as evidence in courts of law.Security within all of these types of IMSS systems needs to be bolstered by leveraging Intel hardware and software as the last line of defense, and this book provides you with best practices and solutions for maximizing security in your system implementation.What You Will Learn Review the relevant technologies in a surveillance system Define and dissect the data pipeline with a focus on key criteria and understand the mapping of this pipeline to Intel hardware blocks Optimize the partition and future-proof it with security and manageability Understand threat modeling terminology, the assets pertinent to DSS, and emerging threats, and learn how to mitigate these threats using Intel hardware and software Understand the unique risks and threats to the intelligence in IMSS (machine learning training and inferencing, regulations, and standards) and explore the solution space for mitigations to these threats Sample applications illustrate how to design in security for several types of IMSS.— Explore ways to keep both yourself and your systems up to date in a rapidly changing technology and threat environment Who This Book Is For Surveillance system designers, integrators, and consultants; professional systems, hardware, and software designers who design, recommend, or integrate surveillance systems; security system integrators; video analytics engineers; agencies that write RFPs and/or RFIs; government, police, and security agencies; and corporate security divisionsThis is an open access book.

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Take a deep look at accessibility as it applies to mobile and wearables. This book covers topics within the accessibility domain that are rarely covered or understood, despite the fact that nearly half of the world’s population uses smartphones. Moreover, by 2025, 72% of smartphone users are expected to only use smartphones to access the internet. And yet, accessibility is often an afterthought instead of a core principle of product development. This book changes that.You will begin by exploring the current landscape and policy frameworks, looking at the software product lifecycle and how to embed inclusion from the start. You’ll learn the nuances of mobile accessibility as it applies to mobile devices, wearables, and IoT. From there you’ll move onto automated testing, accessibility and inclusion, and the next frontiers of emerging technology including AR and VR. There will be notes at the end of programming examples to help those in orthogonal roles, such as project management, understand the basics and the language to better communicate with their engineering counterparts. Over 1 billion people in the world live with some form of disability so it's imperative you devise a comprehensive game plan to make your digital products accessible for all. Beyond Accessibility Compliance is your guide to understanding the current landscape of assistive technology and how emerging techniques are changing the way we think about personalization and accessibility.What You'll Learn See how people with the most common forms of disabilities use digital products Review the basics of the product development lifecycle and how to embed accessibility Explore tangible answers as to how accessibility pertains to unique roles Understand the difference between compliance and usability Make data visualizations accessible for blind users Implement code-level changes to address gaps in accessibility Build a campus programs and course material inclusive for people with disabilities Who This Book Is For Current developers, designers, and others building technology products with basic knowledge of front-end development. This book is also suitable for students in computer science, engineering, HCI, and related fields. Sections that are not engineering-specific are applicable to design, user research, communication, and business students who are looking to pursue careers in technology.

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Take advantage of PHP 8's powerful features to create basic web applications, solve code tests (required for most job interviews nowadays), and begin moving towards more advanced PHP concepts. This book provides an introduction to PHP 8, including modules, attributes, JIT compiler, and union types, as well as related frameworks such as Symfony.You will explore fundamental PHP concepts through both practical and hands-on examples. You'll not only gain a solid understanding of PHP fundamentals, but will also be prepared to handle new concepts and technologies as they emerge.After working through the book and its associated demo code, you will be able to build your first basic web application.What You Will Learn Develop web applications with PHP 8 Use Vagrant, Docker, JSON API and more Work with data, form data, arrays, objections, exceptions, regex, and more Utilize PHP frameworks like Laravel and Symfony Who This Book Is ForThose new to PHP 8 or PHP in general. Some prior experience in web development and DB handling is recommended.

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Get started quickly with Qt, the popular open source C++ framework for building C++-based applications and games. This book will have you building both fully functional desktop and mobile applications in no time, including some simple game applications. Introducing Qt 6 begins by guiding you in setting up your tools and environment, and then walks you through the first "baby steps" of Qt framework. Next, you'll learn the basics of how project and app structure are set up using Qt. Then, you’ll begin your first real hands-on projects using Qt, including a task and problem management application and two games. As you progress, you can enhance these apps and games using additional Qt components and features. The book then delves into advanced topics in Qt, learning above and beyond what the Qt docs can offer, including local storage, C++ integration, deployment to Windows and Android, custom components and how to work with them. Upon completing this book, you'll come away knowing how to build a C++ application from design to deployment, top to bottom. And, you'll have actual application and game examples that you can apply to your own work or hobby. What You Will Learn Learn to build your first applications and games using Qt 6 framework Design, create, build and deploy your first Qt applications or games as finished products Explore local storage integration in theory and practice Cover deployment on Windows and on Android Integrate with C++ language to leverage additional functionality Dive into Custom Components and how to work with them Explore different project structures and more Who This Book Is For Software programmers, developers who are new to C++ or the Qt framework. Some prior programming experience though may be helpful.

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Use Java to do whatever you want to do with the Raspberry Pi and the devices you need for your project. In theory, it should be possible, and even easy, to work with on the Pi. Unfortunately, reality is a bit different. This book features an extensive set of techniques that allow you to get close to bringing this theory to fruition.You'll review some limitations on using Java imposed by the Raspberry Pi and Raspberry Pi OS, and even Java itself, and examine which ones might apply to your projects and your devices. You'll also explore solutions to address the limitations and l look at efficient development of Java for the Raspberry Pi. Java on the Raspberry Pi shows how to interact with a range of devices useful in robotics and IOT, overcoming the hurdles in doing so. It also covers off-loading work from the Raspberry Pi to an Arduino, leveraging its close-to-real time capabilities. What You'll Learn Develop with Java remotely using NetBeans Leverage available libraries to enable device interaction, and what to do if they don’t work Implement multi-processing, using an Arduino as a co-processor Build sophisticated projects with multiple threads of execution, multiple processes, and even multiple systems Who This Book Is ForExperienced programmers who appreciate the benefits of Java and world class tools for application development and want to build robotics or IOT projects using the low cost, low power, and portability of the Raspberry Pi.

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Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for Data Management, Finance, and Marketing highlights how this language has become a useful skill with digital marketers, allowing them to analyze data more precisely and run more successful campaigns.What You'll Learn Get started with Python from square one Extend what's possible on excel with Python Automate tasks with Python Analyze data more precisely Who This Book Is ForProfessionals who want to find a job in the modern world or advance their careers within field of Python programming language.

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Use Flybase and Twilio with Node.js to build real-time solutions and understand how real-time web technologies work. Written by the founder of Flybase, this book offers you practical solutions for communicating effectively with users on the modern web.Flybase.io is a web platform, used to store and retrieve data in real-time, as well as to send and receive real-time events such as triggers for incoming calls, incoming messages, agents logging off, etc. You will learn to send daily SMS messages, build an SMS call center to provide support to users, and build a call center to handle incoming and outgoing phone calls from the browser. You'll also build a group calling system to let groups send messages to each other: handy for managing events.Real-Time Twilio brings to light using the winning combination of Flybase and Twilio with Node.js for anyone with basic web development skills.What You'll Learn Develop web apps with Flybase and Twilio Build a live blogging tool and a group chat app Create a click-to-call call center and a Salesforce-powered call center Send daily SMS reminders Develop a real-time call tracking dashboard Who This Book Is ForThose who want to learn to use Twilio and who wants to learn real-time development.

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This book shows you how military counter-intelligence principles and objectives are applied. It provides you with valuable advice and guidance to help your business understand threat vectors and the measures needed to reduce the risks and impacts to your organization. You will know how business-critical assets are compromised: cyberattack, data breach, system outage, pandemic, natural disaster, and many more. Rather than being compliance-concentric, this book focuses on how your business can identify the assets that are most valuable to your organization and the threat vectors associated with these assets. You will learn how to apply appropriate mitigation controls to reduce the risks within suitable tolerances. You will gain a comprehensive understanding of the value that effective protective security provides and how to develop an effective strategy for your type of business. What You Will Learn Take a deep dive into legal and regulatory perspectives and how an effective protective security strategy can help fulfill these ever-changing requirements Know where compliance fits into a company-wide protective security strategy Secure your digital footprint Build effective 5 D network architectures: Defend, detect, delay, disrupt, deter Secure manufacturing environments to balance a minimal impact on productivity Securing your supply chains and the measures needed to ensure that risks are minimized Who This Book Is For Business owners, C-suite, information security practitioners, CISOs, cybersecurity practitioners, risk managers, IT operations managers, IT auditors, and military enthusiasts

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Take an in-depth look at SAP SuccessFactors talent modules with this complete guide to configuration, administration, and best practices. This two-volume series follows a logical progression of SAP SuccessFactors modules that should be configured to complete a comprehensive talent management solution. The authors walk you through fully functional simple implementations in the primary chapters for each module before diving into advanced topics in subsequent chapters. In volume 1, we start with a brief introduction. The next two chapters jump into the Talent Profile and Job Profile Builder. These chapters lay the structures and data that will be utilized across the remaining chapters which detail each module. The following eight chapters walk you through building, administering, and using a goal plan in the Goal Management module as well as performance forms in the Performance Management module. The book also expands on performance topics with the 360 form and continuous performance management in two additional chapters. We then dive into configuring the calibration tool and how to set up calibration sessions in the next two chapters before providing a brief conclusion. Within each topic, the book touches on the integration points with other modules as well as internationalization. The authors also provide recommendations and insights from real world experience. Having finished the book, you will have an understanding of what comprises a complete SAP SuccessFactors talent management solution and how to configure, administer, and use each module within it. You will: · Develop custom talent profile portlets · Integrate Job Profile Builder with SAP SuccessFactors talent modules · Set up security, group goals, and team goals in goals management with sample XML · Configure and launch performance forms including rating scales and route maps · Configure and administrate the calibration module and its best practices

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Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You willThis book includes comprehensive coverage of how: To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.What Will You LearnYou will understand the: Concepts of data lake analytics, the modern data warehouse, and advanced data analytics Architecture patterns of the modern data warehouse and advanced data analytics solutions Phases—such as Data Ingestion, Store, Prep and Train, and Model and Serve—of data analytics solutions and technology choices available on Azure under each phase In-depth coverage of real-time and batch mode data analytics solutions architecture Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight Who This Book Is ForData platform professionals, database architects, engineers, and solution architects

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Part I: Foundations1: Introduction2: Cryptography Fundamentals3: Mathematical Background and Its Applicability4: Large Integer Arithmetic5: Floating Point Arithmetic6: New Features in C++207: Secure Coding Guidelines8: Cryptography Libraries in C/C++20Part II: Pro Cryptography9: Elliptic Curve Cryptography10: Lattice-based Cryptography11: earchable Encryption12: Homomorphic Encryption13: (Ring) Learning with Errors Cryptography14: Chaos-based Cryptography15: Big Data Cryptography16:Cloud Computing CryptographyPart III: Pro Cryptanalysis17: Getting Started with Cryptanalysis18: Cryptanalysis Attacks and Techniques19: Linear and Differential Cryptanalysis20: Integral Cryptanalysis21: Brute Force and Buffer Overflow Attacks2

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Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries. This book also covers new features introduced in C++20 and other recent standard releases: modules, concepts, spaceship operators, and smart pointers. You will explore how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. These include advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming.  Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The

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This new edition of Understanding Oracle APEX 5 Application Development shows APEX developers how to build practical, non-trivial web applications. The book introduces the world of APEX properties, explaining the functionality supported by each page component as well as the techniques developers use to achieve that functionality. The book is targeted at those who are new to APEX and just beginning to develop real projects for production deployment.Reading the book and working the examples will leave you in a good position to build good-looking, highly-functional, web applications. Topics include: conditional formatting, user-customized reports, data entry forms, concurrency and lost updates, and updatable reports. Accompanying the book is a demo web application that illustrates each concept mentioned in the book. Specific attention is given in the book to the thought process involved in choosing and assembling APEX components and features to deliver a specific result

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Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools.The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles.Data-driven project management is known in the academic literature as “dynamic scheduling” or “integrated project management and control.” It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project’s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project’s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as "dynamic scheduling") which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is ForProject managers looking to learn data-driven project management (or "dynamic scheduling") via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles

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This book gives developers – both the experienced and those who have only taken their first few steps – a small, fast-paced primer that will kick-start them into the world of C++/CLI. In twenty no-fluff chapters Microsoft insiders take readers into the heart of the C++/CLI language and explain both how the language elements work and how Microsoft intends them to be used. At the end of this short book readers will have a deep thorough grounding in the core language elements and the confidence to explore further that comes from a solid understanding of a language’s syntax and grammar.

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This book is an exhaustive guide to designing and implementing data solutions on Azure. It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption. Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure. Here, you will learn data processing for complex analysis and how to work with CSV and JSON files. Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure. From there, you’ll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more. The book culminates with a deep dive into data architecture frameworks with data modeling. After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more. What Will You Learn Understand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata management Analyze and understand business needs to choose the right Azure services and make informed business decisions Understand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelines Modernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle management Who Is This Book For: Data solution architects, data engineers, and IT consultants who want to gain a better understanding of modern data architecture design and implementation on Azure.

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Finally, a book on creative programming, written directly for artists and designers! This second edition offers expanded and updated content incorporating the latest advancements and trends in the field of creative programming, also for creatives who want to work directly with P5.js and online. It delves deeper into the intricacies of computational art. It includes fresh case studies that explore real-world applications of coding art, inspiring readers to think beyond traditional boundaries.Rather than following a computer science curriculum, this book is aimed at creatives who are working in the intersection of design, art, and education. Following a real-world use case of computation art, you'll see how it relates back to the four key pillars, and addresses potential pitfalls and challenges in the creative process. All code examples are presented in a fully integrated Processing example library, making it easy for readers to get started. This unique and finely balanced approach between skill acquisition and development makes Coding Art, Second Edition the ideal reference book for both creative programming and the creative process for professors and students alike.What You’ll Learn Review ideas and approaches from creative programming to different professional domains Work with computational tools like the Processing language Understand the skills needed to move from static elements to animation to interaction Use interactivity as input to bring creative concepts closer to refinement and depth Simplify and extend the design of aesthetics, rhythms, and smoothness with data structures Leverage the diversity of art code on other platforms like the web or mobile applications Understand the end-to-end process of computation art through real world use cases Study best practices, common pitfalls, and challenges of the creative process Who This Book Is ForThose looking to see what computation and data can do for their creative expression; learners who want to integrate computation and data into their practices in different perspectives; creative technologists, educators, digital artists and those who already know how to program, seeking creativity and inspiration in the context of computation and data.

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This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models.The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects.Readers will learn how to set up a Google Colaboratory account and run Jupyter notebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI. The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL.What You Will Learn Set up a GCP account and project Explore BigQuery and its use cases, including machine learning Understand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning models Explore Google Cloud Dataproc and its use cases for big data processing Create and share data visualizations and reports with Looker Data Studio Explore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud Dataflow Explore Google Cloud Storage and its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streaming Who This Book Is ForData scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their data science and big data projects

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This book will show you how to harness the power of Appsmith, an open-source low-code platform with a large set of integration tools and an active community. The book begins with an introduction to Appsmith and its features. As you explore the platform, you will learn about widgets, UI Canvas, and data stores, among other things. Authors Rahul Sharma and Rajat Arora then show you how to build customizations and navigation workflows, as well as how to handle error handling, debugging, and troubleshooting with Appsmith. You will also learn efficient monitoring and authentication for deploying production-ready systems. Low-Code Development with AppSmith provides examples, realistic scenarios, and explanations of the tools you'll need to build successful low-code apps, helping you gain practical skills. Upon completing this book, you will be able to use Appsmith to build low-code solutions that suit your business requirements. What You Will Learn Understand low-code development and the factors driving its adoption Solve your business's most pressing issues with Appsmith Gain an understanding of the key concepts of app development, such as data management, APIs, troubleshooting, and debugging Model different design patterns for low-code development Who This Book Is For Anyone interested in designing technical solutions with minimal programming. This book assumes a basic understanding of object-oriented programming and JavaScript.

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This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries. It will guide you through the fundamentals of technical decision making, including planning, building, optimizing, packaging, and deploying end-to-end, reliable, and robust stochastic workflows using the language of data science. MLOps Lifecycle Toolkit walks you through the principles of software engineering, assuming no prior experience. It addresses the perennial “why” of MLOps early, along with insight into the unique challenges of engineering stochastic systems. Next, you’ll discover resources to learn software craftsmanship, data-driven testing frameworks, and computer science. Additionally, you will see how to transition from Jupyter notebooks to code editors, and leverage infrastructure and cloud services to take control of the entire machine learning lifecycle. You’ll gain insight into the technical and architectural decisions you’re likely to encounter, as well as best practices for deploying accurate, extensible, scalable, and reliable models. Through hands-on labs, you will build your own MLOps “toolkit” that you can use to accelerate your own projects. In later chapters, author Dayne Sorvisto takes a thoughtful, bottom-up approach to machine learning engineering by considering the hard problems unique to industries such as high finance, energy, healthcare, and tech as case studies, along with the ethical and technical constraints that shape decision making. After reading this book, whether you are a data scientist, product manager, or industry decision maker, you will be equipped to deploy models to production, understand the nuances of MLOps in the domain language of your industry, and have the resources for continuous delivery and learning. What You Will Learn Understand the principles of software engineering and MLOps Design an end-to-end machine learning system Balance technical decisions and architectural trade-offs Gain insight into the fundamental problems unique to each industry and how to solve them Who This Book Is For Data scientists, machine learning engineers, and software professionals.

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This book is an instructional text that will teach you how to code x86-64 assembly language functions. It also explains how you can exploit the SIMD capabilities of an x86-64 processor using x86-64 assembly language and the AVX, AVX2, and AVX-512 instruction sets.This updated edition’s content and organization are designed to help you quickly understand x86-64 assembly language programming and the unique computational capabilities of x86 processors. The source code is structured to accelerate learning and comprehension of essential x86-64 assembly language programming constructs and data structures. Modern X86 Assembly Language Programming, Third Edition includes source code for both Windows and Linux. The source code elucidates current x86-64 assembly language programming practices, run-time calling conventions, and the latest generation of software development tools.What You Will Learn Understand important details of the x86-64 processor platform, including its core architecture, data types, registers, memory addressing modes, and the basic instruction set Use the x86-64 instruction set to create assembly language functions that are callable from C++ Create assembly language code for both Windows and Linux using modern software development tools including MASM (Windows) and NASM (Linux) Employ x86-64 assembly language to efficiently manipulate common data types and programming constructs including integers, text strings, arrays, matrices, and user-defined structures Explore indispensable elements of x86 SIMD architectures, register sets, and data types. Master x86 SIMD arithmetic and data operations using both integer and floating-point operands Harness the AVX, AVX2, and AVX-512 instruction sets to accelerate the performance of computationally-intense calculations in machine learning, image processing, signal processing, computer graphics, statistics, and matrix arithmetic applications Apply leading-edge coding strategies to optimally exploit the AVX, AVX2, and AVX-512 instruction sets for maximum possible performance Who This Book Is ForSoftware developers who are creating programs for x86 platforms and want to learn how to code performance-enhanced algorithms using the core x86-64 instruction set; developers who need to learn how to write SIMD functions or accelerate the performance of existing code using the AVX, AVX2, and AVX-512 instruction sets; and computer science/engineering students or hobbyists who want to learn or better understand x86-64 assembly language programming and the AVX, AVX2, and AVX-512 instruction sets.

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Learn to implement web designs using HTML5 and CSS3. This book focuses on the need for responsive web design and how you can leverage HTML5 and CSS3 to create interactive websites that work in the real world. You do not need be a technology expert or have a prior coding background to benefit from this book. All you need is a want to learn and a curious mind to explore the full spectrum of features HTML5 and CSS3 have to offer.You'll see how to migrate legacy websites to responsive websites in a very easy-to-understand, step-by-step, manner. Additionally, you will learn to use supportive software to create, run, and debug any issues that may arise during the development process. This book will also show you how to implement websites that work on multiple devices, and on various browsers such as Opera, Chrome, internet Explorer, or Edge. All this will be explored with supporting files, open-source software, as well as a practical guide to creating your demo website along with learning new technologies.From the basics to more advanced topics, Creating Responsive Websites Using HTML and CSS is for anyone who wants to learn about and build beautiful responsive websites. What You'll Learn Code and design websites using HTML5 and CSS3 Design professional-looking websites using colors, margins, images, and other aspects Create a responsive design that will work on laptops, PCs, and any kind of mobile device Troubleshoot and fix code errors independently using developer tools Solve cross-browser responsiveness issues and the challenges that come with different operating systems Who This Book Is ForStudents and/or website designers who want to upskill their talents

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Get inspired to explore the depths of the DevOps field. In today’s rapidly transforming world, Infrastructure as Code (IaC) has emerged as an effective approach to maintain, scale, and deploy software systems. This book offers a mixture of foundational IaC concepts and practical examples to give you hands-on experience.You will first gain an understanding of DevOps culture as well as how to adapt to IaC. Introduction to Infrastructure as Code begins by reviewing the innovative features that DevOps in general, and IaC in particular, have to offer for adoption and growth for different verticals. With this solid base established, you will then learn the importance, processes, and outcome of building infrastructure solutions.Authors Sneh Pandya and Riya Guha Thakurta then provide hands-on examples utilizing IaC platforms, open source tools, and essential considerations such as security, scalability, and deployments. Each chapter focuses on one vertical (i.e., foundations, architecture patterns, securing infrastructure, preparing for deployment), how it impacts the DevOps toolchain in a holistic manner, and how it can be used to build solutions specific to that vertical, with a detailed walkthrough of code, environments, and other tools. After completing this book, you’ll have launched your own infrastructure solution through an open source stack consisting of platforms and tools such as Terraform, Chef, and Puppet.What You Will Learn Understand the fundamentals of DevOps and Infrastructure as Code Prepare for the ever-evolving ecosystem of modular infrastructure and the needs of the future Avoid potential pitfalls and breakdowns while working with infrastructure Build scalable and efficient IaC solutions that work at a small, medium, and large scale in a real-life environment Understand and be responsibly aware of security concerns related to the domain, and how to address them Who Is This Book ForBeginners interested in building a career in DevOps as well as professionals looking to gain expertise and advance their career with greater knowledge of IaC. including Technical Product Managers, and Architects.

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Learn the fundamentals of serverless applications and how to take advantage of time-tested Amazon Web Services (AWS) to build scalable apps. This book shows you how to work with the key features of your applications with minimum code, simple CLI commands and one-click deployments. You'll see how to manage authentication, standard UI components, database storage, filesystem, CI/CD pipeline and more. You'll also examine the architecture, strengths, scalability, and limitations of serverless, and how to use AWS Amplify effectively. You will use tools including React, Cognito, GraphQL, DynamoDB, Kinesis, and Sagemaker. AWS Amplify is the fastest and easiest way to build serverless web and mobile apps at scale, comprising tools and services that work independently and can be wired together to build scalable apps. What You'll Learn Build GraphQL and REST APIs Model data with Amplify Datastores Set up a CI/CD pipeline with Amplify Record and make sense of user data analytics with Kinesis Boost your application with AI/ML capability using Sagemaker Who This Book Is ForDevelopers who have worked on web technologies and want to learn how to build serverless applications and developers interested in making powerful applications using AWS that can then be wired using AWS Amplify.

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Cyberattacks are becoming more commonplace and the Open Web Application Security Project (OWASP), estimates 94% of sites have flaws in their access control alone. Attacks evolve to work around new defenses, and defenses must evolve to remain effective. Developers need to understand the fundamentals of attacks and defenses in order to comprehend new techniques as they become available. This book teaches you how to write secure web applications.The focus is highlighting how hackers attack applications along with a broad arsenal of defenses. This will enable you to pick appropriate techniques to close vulnerabilities while still providing users with their needed functionality.Topics covered include:A framework for deciding what needs to be protected and how stronglyConfiguring services such as databases and web serversSafe use of HTTP methods such as GET, POST, etc, cookies and use of HTTPSSafe REST APIsServer-side attacks and defenses such as injection and cross-site scriptingClient-side attacks and defenses such as cross-site request forgerySecurity techniques such as CORS, CSPPassword management, authentication and authorization, including OAuth2Best practices for dangerous operations such as password change and resetUse of third-party components and supply chain security (Git, CI/CD etc)What You'll Learn Review the defenses that can used to prevent attacks Model risks to better understand what to defend and how Choose appropriate techniques to defend against attacks Implement defenses in Python/Django applications Who This Book Is For Developers who already know how to build web applications but need to know more about security Non-professional software engineers, such as scientists, who must develop web tools and want to make their algorithms available to a wider audience. Engineers and managers who are responsible for their product/company technical security policy

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This book covers the inexorable exhaustion of the IPv4 address space, the interim fix to this based on Network Address Translation (NAT) and Private Addresses, and the differences between IPv4 and IPv6. It will help you understand the limitations and problems introduced by the use of NAT and introduce you to the far simpler network and software designs possible, using a larger, unified address space.IPv6, a mature and viable replacement for IPv4, is currently used by more than 36% of all global Internet traffic. Wireless telephone service providers in many countries have migrated their networks to IPv6 with great success. The elimination of NAT and Private Addresses has vastly simplified network design and implementation. Further, there are now enough public addresses allocated to accommodate all anticipated uses for the foreseeable future. Most networking products and software, especially open-source software, are already fully IPv6 compliant. Today, no business should purchase obsolete products that support only IPv4. The global IPv6 Forum estimates that there are millions of networking professionals still needing to learn the fundamentals of IPv6 technologies to move forward. This book is for them. With plans in place for a shutdown of IPv4 on global networks (“Sunset IPv4”) the time to learn is now. If you want a job in IT, especially network hardware or software, and you don’t know IPv6, you are already obsolete. What You Will Learn This book serves as a guide to all relevant Internet Engineering Task Force (IETF) standards Request for Comments (RFCs), organized by topic and discussed in plain language Understand how IPv6 makes viable technologies such as multicast (for efficient global audio/video streaming), IPsec VPNs (for better security), and simpler VoIP Take “edge computing” to the limit by eliminating intermediary servers made necessary by IPv4 NAT–for example, making connections directly from my node to yours Discover how organizations can introduce IPv6 into existing IPv4 networks (“Dual Stack”), and then eliminate the legacy IPv4 aspects going forward (“Pure IPv6”) for the mandates going into place now (for example, US DoD requirements to move all networks to Pure IPv6) Recognize that 5G networking (the Grand Convergence of conventional networks and wireless service) depends heavily on the advanced features IPv6 Who This Book Is ForNetworking professionals. Readers should have at least some familiarity with the precursor protocol (IPv4) and legacy TCP/IP based networks. Some knowledge of network models, such as DoD four-layer model or OSI 7-layer model, is helpful to understand where the Internet Protocol fits into the larger picture. For network software developers using the Sockets API (in UNIX, Windows, etc.), this book will help you to understand the extensions to that API needed to work with IPv6.

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Learn best practices and the proper use of Azure management tools, such as Azure Portal, Azure PowerShell, Azure CLI, and ARM templates, which are time-saving tools that support daily administration tasks such as monitoring, alerting, backups, security, and more. This book explores common Azure services, including Azure networking, virtual machines, app services, backup, monitoring, and other tools of the trade that IT professionals use on a regular basis. And you will come away with a strong understanding of these services and how to use them.While Microsoft Azure is no longer “the new cloud on the block,” it continues to be one of the fastest-growing platforms with regard to features, integrations, and capabilities. Over the last decade, it has undergone significant changes and amassed a large following, but many of its users, especially those who transitioned from traditional admin tasks to modern cloud computing, are not reaping its full benefits.Management in the cloud, while seemingly simpler in some ways, is not without its own set of complexities and headaches. Admins want to streamline it where it makes sense and allocate the right resources to the right job in order to keeps cost in check, but where does one begin? Pro Azure Administration and Automation is a comprehensive guide that is chock full of time-saving recipes and scripts you can rely on to learn about day-to-day Azure administration and automation. What You Will Learn Attain theoretical and practical knowledge on deploying and managing Azure Gain an understanding of services, their relationship with other services, and their configuration parameters Adopt a modern mindset, transitioning from a traditional IT admin mindset to a cloud admin pro Understand how everything in the cloud is billable and learn how to factor it into choices Apply in-chapter PowerShell scripts and ARM templates which can be re-purposed Know when it makes sense to be more involved in tasks (for example, automation and scripting) Who This Book Is For IT professionals who are responsible for the day-to-day tasks in Azure as well as cloud management and planning

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Take a holistic view of enterprise risk-adjusted return management in banking. This book recommends that a bank transform its siloed operating model into an agile enterprise model. It offers an event-driven, process-based, data-centric approach to help banks plan and implement an enterprise risk-adjusted return model (ERRM), keeping the focus on business events, processes, and a loosely coupled enterprise service architecture. Most banks suffer from a lack of good quality data for risk-adjusted return management. This book provides an enterprise data management methodology that improves data quality by defining and using data ontology and taxonomy. It extends the data narrative with an explanation of the characteristics of risk data, the usage of machine learning, and provides an enterprise knowledge management methodology for risk-return optimization. The book provides numerous examples for process automation, data analytics, event management, knowledge management, and improvements to risk quantification. The book provides guidance on the underlying knowledge areas of banking, enterprise risk management, enterprise architecture, technology, event management, processes, and data science. The first part of the book explains the current state of banking architecture and its limitations. After defining a target model, it explains an approach to determine the "gap" and the second part of the book guides banks on how to implement the enterprise risk-adjusted return model.What You Will Learn Know what causes siloed architecture, and its impact Implement an enterprise risk-adjusted return model (ERRM) Choose enterprise architecture and technology Define a reference enterprise architecture Understand enterprise data management methodology Define and use an enterprise data ontology and taxonomy Create a multi-dimensional enterprise risk data model Understand the relevance of event-driven architecture from business generation and risk management perspectives Implement advanced analytics and knowledge management capabilities Who This Book Is For The global banking community, including: senior management of a bank, such as the Chief Risk Officer, Head of Treasury/Corporate Banking/Retail Banking, Chief Data Officer, and Chief Technology Officer. It is also relevant for banking software vendors, banking consultants, auditors, risk management consultants, banking supervisors, and government finance professionals.

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The age of the distributed team is upon us. Teams can now operate and collaborate from locations other than a central office, and events surrounding the 2020 COVID pandemic have thrown its practicality into sharp relief. Managing a team whose members are distributed across several locations requires a different mindset and will remain a must-have for all areas of business from this point forward.Building and Managing High-Performance Distributed Teams explains what the distributed teams concept means to the future of your company. Author Alberto S. Silveira Jr. leverages his industry knowledge to explore why the high-performance distributed team model is vital to the future of business, and explains how to build and maintain one through times of change. You will learn to differentiate between distributed teams, remote work, offshoring, and what each means in a modern context. Silveira also weaves in stories from his other life as a boater and sailor, using analogies and lessons gained from humankind’s thousands of years of maritime adventure to illustrate the value of well-managed teams, and to also convey the importance of life-work balance in today’s working world.The book analyzes team management strategies from some of the great successes and failures in recent years so that you can learn from the experiences of others. Building and Managing High-Performance Distributed Teams is your definitive guide for building a dynamic distributed team, using collaboration technology to attract and engage the most important element of any business—your people. Whether you are a department head, a business owner, or a team leader, this book presents the no-nonsense knowledge you need now to chart your course for success. What You Will Learn Understand what the new era of connected business means, and the role distributed teams will play. Differentiate between distributed teams, remote work, nearshore, and offshoring, and what each means to modern business. Discover the true heart of a high-performance distributed team (hint: it’s not the technology). Find out what the era of distributed teams means to existing infrastructure. Uncover what we can learn about team management from some of the great successes and failures of recent years. Appreciate the techniques honed by seafarers, pilots, and software designers combined to create a successful project plan for team management and company navigation. Comprehend the effective simplicity of the “power of three” in building successful teams. Apply proven techniques of measurement and metrics without leaving the human factor behind to improve team morale and productivity. Who This Book Is ForTeam leaders or officers of small-ish companies, with populations in the tens through to the mid-hundreds. It’s also for managers of somewhat autonomous departments within larger companies, and for everyone else in the boat because everyone in a company ultimately needs to know what being in a distributed team is all about.

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The dramatic increase in minority- and female-owned companies continues to transform the business world while setting standards for those who follow. Thriving as a Minority-Owned Business in Corporate America offers you a comprehensive guide to current practical knowledge of minority business development, from grants and loans to market building. This book demonstrates how you can use specific laws, institutions, and new technologies to set up and steer your business to success. Expert coverage includes both established and underused resources at the federal, state, and local levels dedicated to minority business expansion. You will learn how to tap resources made available by government agencies like the Minority Business Development Agency (MBDA) and programs such as the Offices of Minority and Women Inclusion (OMWI). Non-governmental funding sources (e.g., banks, credit unions, venture capital) are also examined in depth, with sound advice on approaching each. The author explores the critical role of social media in leveling the playing field, spotlighting minority/female business-related sites and strategies for leveraging your online presence. And he provides real-world guidance on business certifications, tax breaks, credit issues, and more. Whether you’re in start-up or expansion mode, after reading this book, you will have the know-how needed to seize the opportunity and succeed with your enterprise.What You Will Learn Discover unused and unrecognized resources at the federal, state, and local level set up specifically for minority business See the difference between banks, thrifts, credit unions, angel investors, and venture capital, and how to approach each Use social media in support of minority business development goals Examine social media sites and trends: current and relevant minority business related social media sites and trends Who This Book is ForAnyone: Asian, Hispanic, women, Black or White who wants authentic, impactful information on creating or supporting minority-owned businesses.

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Deploy, manage, and secure containers and containerized applications on Google Cloud Platform (GCP). This book covers each container service in GCP from the ground up and teaches you how to deploy and manage your containers on each service.You will start by setting up and configuring GCP tools and the tenant environment. You then will store and manage Docker container images with GCP Container Registry (ACR). Next, you will deploy containerized applications with GCP Cloud Run and create an automated CI/CD deployment pipeline using Cloud Build. The book covers GCP’s flagship service, Google Kubernetes Service (GKE), and deployment of a Kubernetes cluster using clear steps and considering GCP best practices using the GCP management console and gcloud command-line tool. Also covered is monitoring containers and containerized applications on GCP with Cloud Monitoring, and backup and restore containers and containerized applications on GCP.By the end of the book, you will know how to get started with GCP container services and understand the fundamentals of each service and the supporting services needed to run containers in a production environment. This book also assists you in transferring your skills from AWS and Azure to GCP using the knowledge you have acquired on each platform and leveraging it to gain more skills.What You Will Learn Get started with Google Cloud Platform (GCP) Store Docker images on GCP Container Registry Deploy Google Kubernetes Engine (GKE) cluster Secure containerized applications on GCP Use Cloud Build to deploy containers Use GCP Batch for batch job processing on Kubernetes Who This Book Is ForGoogle Cloud administrators, developers, and architects who want to get started and learn more about containers and containerized applications on Google Cloud Platform (GPC)

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Learn how to deploy Chromebook computers in a classroom or lab situation and how to navigate the hardware and software choices you face. This book equips you with the skills and knowledge to plan and execute a deployment of Chromebook computers in the classroom. Teachers and IT administrators at schools will see how to set up the hardware and software swiftly on your own or with the help of your students. Step-by-step instructions and practical examples walk you through assessing the practicability of deploying Chromebooks in your school, planning the deployment, and executing it. You'll become an expert in using a Chromebook, developing plans to train your colleagues and students to use Chromebooks, and learn how to run lessons with Google Classroom. You'll learn to manage the computers and the network and troubleshoot any problems that arise. Make Deploying Chromebooks in the Classroom a part of your instructional library today. What You'll Learn Put an easily-manageable computer on each desk for students to learn Internet use and essential office software skills Image, configure, and plan a classroom deployment of Chromebook computers Manage your classroom Chromebook computers and keeping them up and running smoothly and efficiently Who This Book Is ForPrimary audience would be teachers and IT administrators at schools or colleges. It will also appeal to administrators at social clubs or organizations that provide less formal tuition or simply provide Internet access.

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