Название: Cloud Application Architecture Patterns: Designing, Building, and Modernizing for the Cloud (Early Release)
Автор: Kyle Brown, Bobby Woolf, Joe Yoder
Издательство: O’Reilly Media, Inc.
Год: 2024-06-06
Страниц: 248
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

If you're developing or considering cloud application architectures for your company's projects, this practical guide is an ideal place to learn and understand best practices for developing in the cloud. Architects and lead developers will learn how cloud applications should be designed, how they fit into a larger architectural picture, and how to make them operate efficiently. Authors Kyle Brown, Bobby Woolf, and Joe Yoder take you through the process step by step. Because this book focuses on designing applications to be deployed on the cloud, we do assume a fundamental set of technologies that have become a de facto standard stack that applications make use of to take advantage of cloud computing: • Linux - Cloud computing’s operating system developed by an open community and freely available; • Containerization - Packaging an application with the environment it needs to run in the Linux kernel; • Container orchestration - Grid computing that autonomically manages large numbers of containers; • Cloud-native application - An application architecture that separates stateless business logic from stateful middleware functionality accessed as backend services. These technologies and ones like them are assumed in this book. This book is for application architects and developers who want to learn best practices about how to design applications for the cloud. Architects who want their applications to run well in the cloud need to know these best practices and employ them. These practices apply to any application that will run in the cloud. We assume most developers are writing business applications for commercial enterprises — let’s face it, that’s where the money is — but these techniques apply equally well to other fields like research and science, government, non-profits - any field where users have requirements for what an application should do and the organization wants to deploy their applications on the cloud.

Название: Secure and Smart Cyber-Physical Systems
Автор: Uttam Ghosh, Fortune Mhlanga, Danda B. Rawat
Издательство: CRC Press
Год: 2025
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Cybersecurity is a paramount concern in both Internet of Things (IoT) and Cyber-Physical Systems (CPSs) due to the interconnected and often critical nature of these systems. The integration of AI/ML into the realm of IoT and CPS security has gained significant attention and momentum in recent years. The success of AI/ML in various domains has sparked interest in leveraging these technologies to enhance the security, resilience, and adaptability of IoT and CPS. Secure and Smart Cyber-Physical Systems provides an extensive exploration of AI/ML-based security applications in the context of IoT and CPS. One of the most popular revolutions of technology is the Cyber-Physical System (CPS). CPS is an integration of cyber world (computation and communication systems) and man-made physical world (e.g., utility networks, vehicles, and factories.) formed by using sensors and actuators. Cyber systems make the physical infrastructures smarter, more secure, and reliable, and fully automated systems foster a more efcient, resilient, and sustainable built environment. In the near future (industry 4.0 revolution or 4IR), CPSs will become the new “techno-economic” paradigm. DL model consists of multiple layers of artifcial neural networks (ANNs) that are trained using supervised or unsupervised learning. Python libraries are blocks of code that contain built-in functions. These libraries provide access to the necessary packages or modules that can be installed to complete specifc tasks. By providing data operations and data structures, the Pandas’ library signifcantly aids in the study and manipulation of data, particularly time series and numerical tables. On top of NumPy, the Pandas’ package was developed. It supports the efective implementation of a data frame. Series and data frames are the foundational data structures on which Pandas is built. Pandas allow for the transformation of data structures into data frame objects, handling of missing data, and histogram or box plots.

Название: Programming Puzzles: Python Edition: Learning Python Programming for Beginners and Experienced Programmers
Автор: Matthew Whiteside
Издательство: Independently published
Год: November 14, 2023
Страниц: 428
Язык: английский
Формат: epub
Размер: 30.5 MB

In Programming Puzzles: Python Edition, industry expert software engineer with 10+ years Python coding and computer programming experience Matthew Whiteside provides you with everything that you need to learn Python programming skills, starting with the basics and initial Python downloads that you will need, and then launching into your Python learning adventure, with over 100 fun and educational Python puzzles, catering to beginners learning Python basics, as well as seasoned computer coders looking to take their skills to the next level! The puzzles in this book have specifically been designed so that people of all levels can attempt them. You’ll find some puzzles for people who are earlier along in their Python journey, and you’ll find harder puzzles for people who are more experienced. The book is broken up into two main sections, challenge puzzles and fun puzzles. The challenge puzzles section contains 50 ( + a few bonus) puzzles that start off at beginner level and get harder as you progress. This is the main section of the book and it’s recommended you start on puzzle #1 and work your way through. Whether you are a student in the Computer Science field, or an experienced software engineer, Programming Puzzles: Python Edition will be instrumental in helping you to gain confidence, unlock the potential of Python, and accelerate your Python learning journey. Note: it’s recommended you know at least the basics of Python before starting any puzzles from this book. Familiarity with fundamental concepts such as variables, conditionals, loops, and functions will greatly benefit you in solving the puzzles.

Название: Point Cloud Compression: Technologies and Standardization
Автор: Ge Li, Wei Gao, Wen Gao
Издательство: Springer
Год: 2024
Страниц: 264
Язык: английский
Формат: pdf (true), epub
Размер: 31.1 MB

3D point clouds have broad applications across various industries and have contributed to advancements in fields such as autonomous driving, immersive media, metaverse, and cultural heritage protection. With the fast growth of 3D point cloud data and its applications, the need for efficient compression technologies has become paramount. This book delves into the forefront of point cloud compression, exploring key technologies, standardization efforts, and future prospects. As a burgeoning format of spatial data, 3D point cloud has triggered a research boom in the field of vision in recent years. It plays an essential role in many modern industrial applications, such as autonomous driving and virtual/augmented reality. To keep up with the ever-growing application requirements and meet the three progressive goals of ease of storage, transmission, and processing, it is of increasing significance to research and develop efficient compression algorithms to deal with the huge amount of point clouds. Point cloud compression technologies have become research hotspots for the past few years. With the development of multimedia technology, 3D vision has aroused extensive research enthusiasm. The basis of 3D vision is to model the exterior surface of a continuous 3D model. Point cloud is a widely used representation of 3D geometric models. Point cloud compression technologies have become an essential branch of 3D computer vision. Point cloud is a collection of discrete sampling points on underlying surfaces embedded in 3D space. Point cloud compression refers to the compression of point cloud data to reduce the occupation of storage space and transmission bandwidth. Point cloud compression technologies employ lossless or lossy compression methods to eliminate redundant information, making it widely applicable in 3D data processing, computer vision, robotics, and other related fields.

Название: New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Автор: Oscar Castillo, Patricia Melin
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2024
Страниц: 422
Язык: английский
Формат: pdf (true), epub
Размер: 52.9 MB

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also a group papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.

Название: DevOps: интеграция и автоматизация: Учебное пособие для вузов
Автор: Баланов А.Н.
Издательство: Лань
Год: 2024
Страниц: 240
Язык: русский
Формат: pdf
Размер: 10.1 MB

Учебное пособие представляет собой всеобъемлющее руководство по DevOps — подходу, который стал революционным в мире IT. DevOps интегрирует процессы разработки и эксплуатации, делая их более гибкими, быстрыми и эффективными. Данная книга — идеальный старт для тех, кто хочет понять DevOps и его принципы и применить их на практике. В мире информационных технологий DevOps представляет со­бой не просто технический подход, но настоящую революцию в спо­собе создания, развертывания и обслуживания программных продук­тов. Этот термин, образованный от слов «development» (разработка) и «operations» (эксплуатация), олицетворяет собой гармоничное слия­ние двух важнейших аспектов 1Т-процессов. В первой главе студенты познакомятся с основами DevOps, его историей и значимостью в современном мире. Этот раздел создает основу для понимания всего курса, предоставляя читателям необхо­ димый контекст. Далее пособие погружает студентов в ключевые принципы DevOps, начиная с культуры и автоматизации и заканчивая монито­рингом и разделением знаний. Эти принципы являются основой для успешного внедрения DevOps в любой организации. Особое внимание уделяется инструментарию DevOps. Читатели узнают о таких ключевых инструментах, как Git, CI/CD, Docker и Kubernetes. Эти инструменты стали стандартами в индустрии и необ­ходимы для любого DevOps-инженера. После того как основы будут освоены, студенты углубятся в бо­лее продвинутые темы, такие как инфраструктура, мониторинг и логирование, а также безопасность в DevOps.

Название: Fundamentals of Software Testing 2nd Edition, Revised and Updated
Автор: Bernard Homès
Издательство: Wiley-ISTE
Год: 2024
Страниц: 388
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Software testing has greatly evolved since the first edition of this book. Testers are now required to work in "agile" teams and focus on automating test cases. It has thus been necessary to update this work, in order to provide fundamental knowledge that testers should have to be effective and efficient in today's world. This book describes the fundamental aspects of testing in the different lifecycles, and how to implement and benefit from reviews and static analysis. Multiple other techniques are approached, such as equivalence partitioning, boundary value analysis, use case testing, decision tables and state transitions. This second edition also covers test management, test progress monitoring and incident management, in order to ensure that the testing information is correctly provided to the stakeholders. This book provides detailed course-study material of the ISTQB Foundation level syllabus, including sample questions to help prepare for exams. For testers who want to acquire a good understanding of software and system tests, this book provides the fundamental principles as described by the ISTQB and recognized experts. Software testing does not require specific prerequisites, but a basic understanding of data processing and software will allow you to better understand software testing. The reader with software development knowledge, whatever the programming language, will understand certain aspects faster, but a simple practice as a user should be enough to understand this book.

Название: Coding & Programming User Manual - June 2024 Edition
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 148
Язык: английский
Формат: pdf
Размер: 81.7 MB

Coding is everywhere. From your TV through to the International Space Station, you'll find millions of lines of code controlling and delivering the services that we take for granted. Behind all this code are the programmers who develop our digital world, using a multitude of different languages to weave the fabric of the Internet, operating systems, games and modern entertainment. We show you the fundamentals for Python, Linux, Raspberry Pi and C++, four of the most powerful languages in the world that are used by the likes of NASA, Microsoft, Apple and throughout the Internet. You will find ideas, concepts, tutorials, hints and projects that will take you from being a beginner to an advanced programmer able to form your own code. Your programming journey starts here...

Название: Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs at Scale (Final Release)
Автор: James Phoenix, Mike Taylor
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 423
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 39.8 MB, 33.3 MB

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. All of the code in this book is in Python and was designed to be run in a Jupyter Notebook or Google Colab notebook. The concepts taught in the book are transferable to jаvascript or any other coding language if preferred, though the primary focus of this book is on prompting techniques rather than traditional coding skills. The code can all be found on GitHub, and we will link to the relevant notebooks throughout. It’s highly recommended that you utilize the GitHub repository and run the provided examples while reading the book.

Название: Machine Learning for Finance: Master Financial Strategies with Python-Powered Machine Learning
Автор: Hayden Van Der Post, Vincent Bisette
Издательство: Reactive Publishing
Год: 2024
Страниц: 553
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the full potential of your financial analysis with "Machine Learning for Finance." This comprehensive guide takes you from the basics of Python programming to advanced Machine Learning techniques tailored specifically for financial applications. Perfect for finance professionals, data scientists, and anyone eager to harness the power of AI in finance. Written by an industry expert, "Machine Learning for Finance" bridges the gap between finance and technology, equipping you with the tools to make data-driven decisions and stay ahead in the competitive financial landscape. Whether you're a seasoned professional or a curious beginner, this book is your ultimate resource for mastering the intersection of finance and Machine Learning. Machine Learning is an intricate and powerful tool that holds immense potential for transforming the financial industry. By leveraging sophisticated algorithms and vast datasets, it enables more accurate predictions, better risk management, and innovative financial solutions. As we continue to explore its applications, the boundary between human insight and artificial intelligence in finance increasingly blurs, heralding a new era of financial intelligence. Transform your financial strategies with Python and join the future of finance today!