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Название: Security for Cloud Native Applications: The practical guide for securing modern applications using AWS, Azure, and GCP
Автор: Eyal Estrin
Издательство: BPB Publications
Год: 2024
Страниц: 312
Язык: английский
Формат: pdf, epub (true)
Размер: 11.2 MB

Security for cloud-native applications is an overview of cloud-native application's characteristics from a security point of view, filled with best practices for securing services based on AWS, Azure, and GCP infrastructure. This book is a practical guide for securing cloud-native applications throughout their lifecycle. It establishes foundational knowledge of cloud services and cloud-native characteristics. It focuses on securing design approaches like APIs, microservices, and event-driven architectures. Specific technologies like containers, Kubernetes, and serverless functions are covered with security best practices. The book emphasizes integrating security throughout development using CI/CD pipelines and IaC tools. It explores policy as code for enforcing security policies and immutable infrastructure for enhanced security posture. Key management and threat detection strategies are also covered. Finally, the book offers a practical example and resources for further learning. Kubernetes is considered the de facto standard for Container orchestrators. It allows you to deploy applications on a large scale and spin up or down new containers, according to application load, ensuring all containers are healthy (otherwise, Kubernetes deploys new containers to replace the unhealthy ones). There are many benefits to choosing Kubernetes as an orchestrator for provisioning modern applications using containers. Kubernetes can be deployed and run almost anywhere, from managed cloud environments to on-prem clusters (local data centers) and at the edge where compute and storage resources are close to data generation. By the end of the book, the reader will be able to design and secure modern applications using the public cloud scale, managed services, automation, and built-in security controls.

Название: Percolation Theory Using Python
Автор: Anders Malthe-Sørenssen
Издательство: Springer
Год: 2024
Страниц: 221
Язык: английский
Формат: pdf (true), epub
Размер: 41.2 MB

This course-based textbook delves into percolation theory, examining the physical properties of random media—materials characterized by varying sizes of holes and pores. The focus is on both the mathematical foundations and the computational and statistical methods used in this field. Designed as a practical introduction, the book places particular emphasis on providing a comprehensive set of computational tools necessary for studying percolation theory. Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes. The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis. Percolation is the study of connectivity of random media and of other properties of connected subsets of random media. In this book, we will address the physical properties of such media, develop the underlying mathematical theory and the computational and statistical methods needed to discuss the physical properties of random media. In order to do that, we will develop a simplified model system, a model porous medium, for which we can develop a well-founded mathematical theory, and then afterwards we can apply this model to realistic random systems. The basic terms in percolation theory are introduced, and you learn how to generate, visualize and measure on percolation systems in Python.

Название: Ultimate Azure Data Scientist Associate (DP-100) Certification Guide: Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam
Автор: Rajib Kumar De
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 807
Язык: английский
Формат: pdf, epub
Размер: 25.6 MB

Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning. Ultimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes. The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your Data Science career. In the fast-evolving landscape of Azure data science, embracing a framework that seamlessly blends power with elegance is paramount. Welcome to the modern cloud-based data science world — a journey that transcends the ordinary and propels you into the extraordinary. This book comprises 12 chapters, each a complete module in itself, serving as your comprehensive guide to mastering data science on Azure. It covers a wide array of topics, from the fundamentals to advanced techniques. Whether you are a seasoned developer looking to expand your skills or a newcomer eager to dive into Data Science, this book has something for everyone.

Название: Visual Basic and Algorithmic Thinking for the Complete Beginner (3rd Edition)
Автор: Aristides S. Bouras
Издательство: Independently published
Год: 2024
Страниц: 694
Язык: английский
Формат: pdf, epub, mobi
Размер: 14.6 MB

Completely updated for the latest version of Visual Basic, this book offers a comprehensive introduction to programming, assuming no prior knowledge of the subject. It is designed for individuals, eager to learn Visual Basic from scratch, providing a strong foundation in Algorithmic Thinking—the fundamental skill every aspiring programmer must acquire. Algorithmic Thinking encompasses more than just writing code; it entails mastering the art of problem-solving through coding. This edition retains all the popular features of its predecessor while introducing a wealth of new exercises, along with extensive revisions and updates. Furthermore, brand-new chapters offer a practical introduction to working with text files. Visual Basic is a widely used general-purpose, high-level computer programming language that allows programmers to create desktop applications, large-scale applications, embedded systems, client-server applications, and many other types of software. Visual Basic is designed to be a platform-independent language. It is intended to let programmers “write once, run anywhere (WORA)”, meaning that code is written once but can run on any combination of hardware and operating system without being re-compiled. Technically speaking, a script is interpreted whereas a program is compiled, but this is actually not their major difference. There is another more important difference between them! The main purpose of a script written in a scripting language such as jаvascript, or VBA (Visual Basic for Applications) is to control another application. So you can say that, in some ways jаvascript controls the web browser, and VBA controls a Microsoft Office application such as MS Word or MS Excel.

Название: Практическое моделирование на UML
Автор: Бойцов А.К., Колмогорова С.С.
Издательство: СПб.: Реноме
Год: 2023
Формат: pdf
Страниц: 684
Размер: 12 mb
Язык: русский

UML является важным инструментом разработки программного обеспечения, который можно использовать для моделирования структуры приложения, поведения и бизнес-процессов. Это помогает пользователям понять процесс проектирования и разработки. Он также состоит из нескольких интересных позиций, таких как разработка процедур оформления заказа в электронной коммерции, разработка эффективной базы данных для взаимосвязанных таблиц, решение общих проблем проектирования, диаграммы пользовательских случаев, а также диаграммы элементов и действий. Тем не менее, этот элемент разработки программного обеспечения может быть довольно проблематичным для большинства пользователей, поскольку он состоит из таких тем, как моделирование баз данных, моделирование процессов и разработка алгоритмов. Диаграммы UML не слишком просты, нужно много работать над заданиями на основе диаграмм UML. Таким образом, нужна профессиональная помощь по назначению диаграмм UML. Авторами предлагается монография по назначению диаграмм UML, которое и помогает добиться наилучших результатов в данной области моделирования.

Название: LLM Essentials: A Busy Professional's Guide to Large Language Models
Автор: Pradeep Savadi, Archit Goyal, Virender Savadi
Издательство: Leanpub
Год: 2024-06-26
Страниц: 145
Язык: английский
Формат: epub (true)
Размер: 12.1 MB

Unlock the power of AI with "LLM Essentials: A Busy Professional's Guide to Large Language Models." This concise guide demystifies the world of LLMs, offering practical insights for business leaders and innovators. Discover how to leverage these powerful models to transform customer service, streamline content creation, and uncover hidden insights in your data. From ethical considerations to cutting-edge techniques like multimodal LLMs, this book covers it all. With step-by-step guides and real-world examples, you'll learn to implement LLMs in your business, even with limited resources. Don't let the AI revolution pass you by. "LLM Essentials" is your roadmap to harnessing the future of language technology. Get ready to lead your organization into a new era of AI-driven success. "LLM Essentials: A Busy Professional's Guide to Large Language Models" is a comprehensive resource designed for business leaders, managers, and professionals seeking to understand and leverage the power of large language models (LLMs) in their organizations. This book provides a practical, accessible overview of LLM technology and its applications across various industries. Written with the busy professional in mind, this book breaks down complex technical concepts into easily digestible chapters. It offers actionable insights and step-by-step guides for implementing LLMs in business contexts, along with code examples and best practices.

Название: Cloud Native Development with Azure: A practical guide to build cloud-native apps on Azure cloud platform
Автор: Pavan Verma
Издательство: BPB Publications
Год: 2024
Страниц: 246
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Azure is a powerful cloud computing platform with a wide range of services. Reading this book can help you gain an in-depth understanding of these services and how to use them effectively. Being one of the most popular cloud computing platforms, having knowledge and skills in Azure can be a valuable asset in your career. Explore Microsoft Azure for cloud-native development. Understand its basics, benefits, and services. Learn about identity management, compute resources, and application building. Discover containerization with Azure Kubernetes Service and Azure Container Registry. Dive into microservices architecture and serverless development with Azure Functions. Understand security, monitoring, logging, and CI/CD pipelines with Azure DevOps. Finally, explore advanced services like Azure Machine Learning and Azure IoT Hub, with real-world case studies and insights into future trends. Azure is constantly evolving, with new features and services being added regularly. Reading books on Azure cloud can help you stay up-to-date with the latest developments in the platform and keep your skills current.

Название: C++ and Algorithmic Thinking for the Complete Beginner Third Edition
Автор: Aristides S. Bouras
Издательство: Independently published
Год: 2024
Страниц: 730
Язык: английский
Формат: epub (true), mobi
Размер: 10.1 MB

Completely updated for the latest version of C++, this book offers a comprehensive introduction to programming, assuming no prior knowledge of the subject. It is designed for individuals, eager to learn C++ from scratch, providing a strong foundation in Algorithmic Thinking—the fundamental skill every aspiring programmer must acquire. Algorithmic Thinking encompasses more than just writing code; it entails mastering the art of problem-solving through coding. This edition retains all the popular features of its predecessor while introducing a wealth of new exercises, along with extensive revisions and updates. Furthermore, brand-new chapters offer a practical introduction to working with text files. Structured for both classroom use and independent study, each chapter is concluded with a set of questions and exercises designed to reinforce your understanding and apply what you've learned. With approximately 250 solved and 480 unsolved exercises, 500 true/false questions, 150 multiple-choice questions, and 200 review questions and crosswords (with solutions and answers available online).

Название: Metrics for Test Reporting: Analysis and Reporting for Effective Test Management
Автор: Frank Witte
Издательство: Springer
Год: 2024
Страниц: 235
Язык: английский
Формат: pdf (true), epub
Размер: 17.8 MB

Part of any software development is to regularly inform management about the progress and any problems of the project. This book presents various test parameters and metrics that can be used to vividly illustrate the progress of a software test and easily identify any need for action. The key parameters and index values that are essential for successful reporting are explained in detail. Starting with the historical development of test reporting, the author explains the fundamental benefits of metrics and provides an overview of the different types of metrics and how they can be used effectively in software testing. He shows how a particular metric can be individually adapted to the software to be tested, starting with the test specification and test execution through to the development of test coverage, and how this can lead to test automation. With this detailed examination of test reporting, the author provides an optimal basis for evaluation, which not only allows the assessment of which test metric should be used for which purpose or which individual project situation, but also what the particular problems of an individual metric for test reporting may be and how these problems can best be solved. This practical guide is therefore primarily aimed at employees in IT projects, such as project managers, software testers and developers, but business and technology consultants as well as lecturers at colleges and universities will also find an exciting insight into various software testing methods.

Название: Python in Excel Advanced: Mastering Data Analysis and Financial Modeling with Python Automation in Excel
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 785
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unlock the full potential of your data analysis and financial modeling with "Python in Excel Advanced." This comprehensive guide is designed for finance professionals, data analysts, and anyone looking to elevate their Excel skills by integrating Python's robust capabilities. Written by a senior financial analyst with years of experience, this book provides a seamless blend of Python programming and Excel functionalities to transform the way you work with data. Understanding the symbiotic relationship between Python and Excel is paramount in leveraging the full potential of both tools. Excel, a stalwart of data manipulation, visualization, and analysis, is ubiquitous in business environments. Python, on the other hand, brings unparalleled versatility and efficiency to data handling tasks. Integrating these two can significantly enhance your data processing capabilities, streamline workflows, and open up new possibilities for advanced analytics. Excel is renowned for its user-friendly interface and powerful built-in functionalities. However, it has limitations when dealing with large datasets, performing complex calculations, or automating repetitive tasks. Python complements Excel by offering extensive libraries such as Pandas, NumPy, and Matplotlib, which are designed for data manipulation, numerical computations, and visualization. This integration can mitigate Excel's limitations, providing a robust platform for comprehensive data analysis.