Search results for ""apress""

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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Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today’s game changer and should be a key building block in every company’s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements. Detailed content is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages, the main languages inside Microsoft technologies. What You'll Learn Choose the right Microsoft product for your machine learning solution Create and manage Microsoft’s tool environments for development, testing, and production of a machine learning project Implement and deploy supervised and unsupervised learning in Microsoft products Set up Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning Set up a data science virtual machine and test-drive installed tools, such as Azure ML Workbench, Azure ML Server Developer, Anaconda Python, Jupyter Notebook, Power BI Desktop, Cognitive Services, machine learning and data analytics tools, and more Architect a machine learning solution factoring in all aspects of self service, enterprise, deployment, and sharing Who This Book Is ForData scientists, data analysts, developers, architects, and managers who want to leverage machine learning in their products, organization, and services, and make educated, cost-saving decisions about their ML architecture and tool set.

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Develop Intelligent Bots using Microsoft Bot framework (C# and Node.js), Visual Studio Enterprise & Code, MicrosoftAzure and Cognitive Services. This book shows you how to develop great Bots, publish to Azure and register with Bot portal so that customers canconnect and communicate using famous communication channels like Skype, Slack, Web and Facebook. You'll also learn how to build intelligence into Bots using Azure Cognitive Services like LUIS, OCR, Speech to Text and Web Search.Bots are the new face of user experience. Conversational User Interface provides many options to make userexperience richer, innovative and engaging with email, text, buttons or voice as the medium for communication.Modern line of business applications can be replaced or associated with Intelligent Bots that can use data/historycombined with Machine Intelligence to make user experience inclusive and exciting.With Developing Bots with Microsoft Bots Framework, you'll see just how simple Bot building can be.What You'll Learn Build Bots using MS Bot framework on Windows and Non-Windows platforms Publish your Bot to the cloud in minutes Create rich communication platforms between your application and users Apply Artificial Intelligence and Machine Learning to your applications Who This Book Is ForDevelopers and Architects who design and build modern applications or communication platforms using MS stack or open source technologies. Business Analysts and UX Specialists interested in designing and building trendy user interfaces/platforms using Bots and Azure ML

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Transform your entire organization, not just a part of it. Take a modern look now that the world is focusing on business agility rather than thinking about team-level or even scaled Agile. Many people and businesses believe that “doing Agile” will solve all their business and organizational problems. The truth is that “doing Agile”, especially team-level agility, is not the same as being an agile organization. Authors Doug Dockery and Laureen Knudsen share their years of experience in transforming corporations and organizations to successfully compete and win in today’s fast-paced markets. Using proven techniques and stories of actual experiences in a multitude of organizations, Doug and Laureen relate what it takes to successfully transform your organization, as well as how to tell if your transformation is working. Modern Business Management details what you need to know to transform your business to deliver value and thrive. Coverage includes: What Agile means to an executive and the benefits you should be seeing The top failure modes and why so many transformations fail A framework for success, including an operational framework and a transformation framework How big data internal to a company is needed to successfully run a world-wide corporation today The definition of a modern business and what it looks like What You’ll learn Understand why businesses are not getting the benefits out of their current Agile transformation Follow the process that organizations need to go through to succeed See how C-level executives can benefit from Agile practices Know how to succeed where others are failing Discover how to keep up with a constantly disrupted and ever-changing market Who This Book Is For Management and executives in corporations from the director level to the C-level

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Quickly learn to program for microcontrollers and IoT devices without a lot of study and expense. MicroPython and controllers that support it eliminate the need for programming in a C-like language, making the creation of IoT applications and devices easier and more accessible than ever. MicroPython for the Internet of Things is ideal for readers new to electronics and the world of IoT. Specific examples are provided covering a range of supported devices, sensors, and MicroPython boards such as Pycom’s WiPy modules and MicroPython’s pyboard. Never has programming for microcontrollers been easier.The book takes a practical and hands-on approach without a lot of detours into the depths of theory. The book: Shows a faster and easier way to program microcontrollers and IoT devices Teaches MicroPython, a variant of one of the most widely used scripting languages Is friendly and accessible to those new to electronics, with fun example projects What You'll Learn Program in MicroPython Understand sensors and basic electronics Develop your own IoT projects Build applications for popular boards such as WiPy and pyboard Load MicroPython on the ESP8266 and similar boards Interface with hardware breakout boards Connect hardware to software through MicroPython Explore the easy-to-use Adafruit IO connecting your microcontroller to the cloud Who This Book Is ForAnyone interested in building IoT solutions without the heavy burden of programming in C++ or C. The book also appeals to those wanting an easier way to work with hardware than is provided by the Arduino and the Raspberry Pi platforms.

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Learn how to use Solidity and the Ethereum project – second only to Bitcoin in market capitalization. Blockchain protocols are taking the world by storm, and the Ethereum project, with its Turing-complete scripting language Solidity, has rapidly become a front-runner. This book presents the blockchain phenomenon in context; then situates Ethereum in a world pioneered by Bitcoin.See why professionals and non-professionals alike are honing their skills in smart contract patterns and distributed application development. You'll review the fundamentals of programming and networking, alongside its introduction to the new discipline of crypto-economics. You'll then deploy smart contracts of your own, and learn how they can serve as a back-end for JavaScript and HTML applications on the Web.Many Solidity tutorials out there today have the same flaw: they are written for “advanced” JavaScript developers who want to transfer their skills to a blockchain environment. Introducing Ethereum and Solidity is accessible to technology professionals and enthusiasts of all levels. You’ll find exciting sample code that can move forward real world assets in both the academic and the corporate arenas. Find out now why this book is a powerful gateway for creative technologists of all types, from concept to deployment.What You’ll Learn See how Ethereum (and other cryptocurrencies) work Compare distributed apps (dapps) to web apps Write Ethereum smart contracts in Solidity Connect Ethereum smart contracts to your HTML/CSS/JavaScript web applications Deploy your own dapp, coin, and blockchain Work with basic and intermediate smart contracts Who This Book Is For Anyone who is curious about Ethereum or has some familiarity with computer science Product managers, CTOs, and experienced JavaScript programmers Experts will find the advanced sample projects in this book rewarding because of the power of Solidity

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Learn how to define strategies for cloud adoption of your Oracle database landscape. Understand private cloud, public cloud, and hybrid cloud computing in order to successfully design and manage databases in the cloud.The Cloud DBA-Oracle provides an overview of Database-as-a-Service (DBaaS) that you can use in defining your cloud adoption strategy. In-depth details of various cloud service providers for Oracle database are given, including Oracle Cloud and Amazon Web Services (AWS). Database administration techniques relevant to hosting databases in the cloud are shown in the book as well as the technical details needed to perform all database administration tasks and activities, such as migration to the cloud, backup in the cloud, and new database setup in the cloud.You will learn from real-world business cases and practical examples of administration of Oracle database in the cloud, highlighting the challenges faced and solutions implemented.What you will learn: Cloud computing concepts from the DBA perspective, such as private cloud, public cloud, hybrid cloud Technical details of all aspects of cloud database administration Challenges faced during setup of databases in private cloud or database migration to public cloud Key points to be kept in mind during database administration in the cloud Practical examples of successful Oracle database cloud migration and support Who Is This Book For All levels of IT professionals, from executives responsible for determining database strategies to database administrators and database architects who manage and design databases.

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Learn all of the available upgrade and migration methods in detail to move to Oracle Database version 12c. You will become familiar with database upgrade best practices to complete the upgrade in an effective manner and understand the Oracle Database 12c patching process.So it’s time to upgrade Oracle Database to version 12c and you need to choose the appropriate method while considering issues such as downtime. This book explains all of the available upgrade and migration methods so you can choose the one that suits your environment. You will be aware of the practical issues and proactive measures to take to upgrade successfully and reduce unexpected issues. With every release of Oracle Database there are new features and fixes to bugs identified in previous versions. As each release becomes obsolete, existing databases need to be upgraded. Oracle Database Upgrade and Migration Methods explains each method along with its strategy, requirements, steps, and known issues that have been seen so far. This book also compares the methods to help you choose the proper method according to your constraints.Also included in this book: Pre-requisite patches and pre-upgrade steps Patching to perform changes at the binary and database level to apply bug fixes What You Will Learn: Understand the need and importance of database upgrading and migration Be aware of the challenges associated with database upgrade decision making Compare all upgrade/migration methods Become familiar with database upgrade best practices and recommendations Understand database upgrade concepts in high availability and multi-tenant environments Know the database downgrade steps in case the upgraded database isn’t compatible with the environment Discover the features and benefits to the organization when it moves from the old database version to the latest database version Understand Oracle 12c patching concepts Who This Book Is For:Core database administrators, solution architects, business consultants, and database architects

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Learn the basic principles of modular design, and then put them into action to create sites that are easy to use, look great, and can be adapted within the context of your business needs. With author James Cabrera—one of the thought leaders in the modular-design movement—you'll create a single, scalable project for a sample nameplate site and then adapt that same project to work successfully as a portfolio site, an e-commerce site, and finally as a news/publishing content site. Along the way, you'll learn the scientific approach to devising a sound and scalable design strategy, followed by establishing a basic foundation using various criteria relevant to that type of site. As each chapter progresses, you'll add new concepts appropriate for the project type. Modular web and app design isn't just for so-called "creatives." It's a teachable science with principles that can be replicated in a creative manner. This approach makes the design decision making process for businesses much easier (and easier to live with). And modular design is a powerful tool for software designers to replicate effective successful designs across a spectrum of needs.What You'll Learn Examine the design process in a modular way Adapt your HTML code to create different types of applications Establish your own modular framework for your specific site's goals Design for scale Develop a strong foundation skeleton for design Who This Book Is ForUser experience designers, user interface designers, information architects, developers with an interest in design, developers who want to create their own design frameworks.

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Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. You’ll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Key Features · Recursion, memorization, bit manipulation · Search algorithms · Constraint-satisfaction problems · Graph algorithms · K-means clustering For intermediate Java programmers. About the technology In any computer science classroom you’ll find a set of tried-and-true algorithms, techniques, and coding exercises. These techniques have stood the test of time as some of the best ways to solve problems when writing code, and expanding your Java skill set with these classic computer science methods will make you a better Java programmer. David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).

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The growing but still evolving success of the Android platform has ushered in a second mobile technology “gold rush” for app developers. Google Play and Amazon Appstore for Android apps has become the second go-to apps eco for today's app developers. While not yet as large in terms of number of apps as iTunes, Google Play and Amazon Appstore have so many apps that it has become increasingly difficult for new apps to stand out in the crowd. Achieving consumer awareness and sales longevity for your Android app requires a lot of organization and some strategic planning. Written for today's Android apps developer or apps development shop, this new and improved book from Apress, The Business of Android Apps Development, Second Edition, tells you today's story on how to make money on Android apps. This book shows you how to take your app from idea to design to development to distribution and marketing your app on Google Play or Amazon Appstore. This book takes you step-by-step through cost-effective marketing, public relations and sales techniques that have proven successful for professional Android app creators and indie shops—perfect for independent developers on shoestring budgets. It even shows you how to get interest from venture capitalists and how they view a successful app vs. the majority of so-so to unsuccessful apps in Android. No prior business knowledge is required. This is the book you wish you had read before you launched your first app!

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This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition's expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: E-mail protocols like SMTP, POP, and IMAP get full treatment, as does XML-RPC. You can still learn how to code Python network programs using the Telnet and FTP protocols, but you are likely to appreciate the power of more modern alternatives like the paramiko SSH2 library. If you are a Python programmer who needs to learn the network, this is the book that you want by your side.

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