Название: Free Pascal и Lazarus. Учебник по программированию
Автор: Алексеев Е.Р., Чеснокова О.В., Кучер Т.В.
Издательство: ДМК-пресс
Год: 2010
Cтраниц: 442
Формат: pdf
Размер: 13 мб
Язык: русский

Free Pascal - свободная реализация языка Паскаль, совместимая с Borland Pascal и Object Pascal - Delphi, но при этом обладающая и некоторыми дополнительными возможностями. Свободный компилятор Free Pascal - кросплатформенный продукт, реализованный, в частности, для операционных систем Linux и Windows. Данная книга представляет собой учебник по алгоритмизации и программированию на основе языка Free Pascal.

Название: Mastering Design Patterns in TypeScript: An Approachable Guide
Автор: Adegoke Akintoye
Издательство: Leanpub/Juri Books
Год: March 31, 2024
Страниц: 113
Язык: английский
Формат: pdf (true), azw3, mobi, epub
Размер: 10.1 MB

TypeScript, a superset of jаvascript, has gained tremendous popularity in recent years, particularly in the realm of large-scale application development. Its strong typing, object-oriented features, and seamless integration with jаvascript make it an ideal choice for implementing design patterns effectively. This book, "Mastering Design Patterns in TypeScript: An Approachable Guide," is a concise yet comprehensive resource that aims to demystify design patterns and make 10 them accessible to developers with a basic understanding of TypeScript and object-oriented programming (OOP) concepts. Weighing in at just slightly over 100 pages, this book avoids unnecessary fluff and aims to provide you with a focused and efficient learning experience, respecting your valuable time. Whether you are a seasoned TypeScript developer or new to the language but have experience with OOP in other programming languages similar to TypeScript, this book will guide you through the intricacies of 23 essential design patterns, providing a practical and straightforward approach to understanding and applying them. Each chapter is dedicated to a specific design pattern, offering a clear explanation of its purpose, structure, and applicability. The book goes beyond mere theoretical explanations by providing practical implementations in TypeScript, allowing you to see these patterns in action. Additionally, you'll find insightful discussions on the advantages and disadvantages of each pattern, helping you make informed decisions when incorporating them into your projects. Whether you are working on web applications, server-side applications, or any other TypeScript-based project, this book will equip you with the knowledge and tools to write more robust, flexible, and maintainable code. By mastering design patterns, you'll be able to tackle complex challenges with confidence and create software that stands the test of time.

Название: Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks
Автор: Milan Janosov
Издательство: Independently published
Год: 2024
Страниц: 487
Язык: английский
Формат: pdf, epub
Размер: 30.5 MB

Geospatial Data Science Essentials is your hands-on guide to mastering the science of geospatial analytics using Python. Designed for practitioners and enthusiasts alike, this book distills years of experience by wrapping up 101 key concepts from theory to implementation, ensuring you gain a practical understanding of the tools and methods that define the geospatial Data Science landscape today. Whether you are a seasoned data scientist, a GIS professional, a newcomer to spatial data, or simply a map lover, this book provides you solid foundation to level up your skills. The book is centered around practicalities, as you will explore real-world examples with compact code throughout ten topics and 101 sections. From understanding spatial data structures to leveraging advanced analytical techniques, from spatial networks to Machine Learning, this book equips you with a wide range of knowledge to navigate and succeed in the rapidly evolving field of geospatial Data Science. Creating a starting point for this book was truly a challenge, even after spending countless days and nights rewriting and revising section after section. So, cutting it short, my goal was simply to compile the essentials of geospatial Data Science in Python that I wish someone had handed me when I began working with spatial data. This book avoids overburdening details and theoretical depths — there are great books on that already. Instead, I wanted to focus on the most practical aspects and tons of Python coding on geospatial Data Science topics. My aim was to show you how to use Python for geospatial analytics, to provide a solid foundation, and to offer an overview of the different tools and methods of the current geospatial Data Science stack.

Название: Core Java for the Impatient, 4th Edition
Автор: Cay S. Horstmann
Издательство: Pearson Education
Год: 2025
Страниц: 512
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Modern Java introduces major enhancements that impact the core Java technologies and APIs at the heart of the Java platform. Many old Java idioms are no longer needed, and new features and programming paradigms can make you far more effective. However, navigating these changes can be challenging. Core Java for the Impatient, Fourth Edition, is a complete yet concise guide that reflects all changes through Java SE 21, Oracle's latest Long-Term Support (LTS) release. Written by Cay S. Horstmann--author of the classic two-volume Core Java--this indispensable tutorial offers a faster, easier pathway for learning modern Java. Horstmann covers everything working developers need to know, including the powerful concepts of lambda expressions and streams, modern constructs such as records and sealed classes, and sophisticated concurrent programming techniques. Given the size and scope of Java 21, there's plenty to cover, but it's presented in small chunks organized for quick access and easy understanding, with plenty of practical insights and sample code to help you quickly apply all that's new. This book is fully updated to Java 21. It uses modern features and does not dwell on historical or obsolete constructs. Preview features that may make it to the language in the future are not covered either. A key reason to use Java is to tackle concurrent programming. With parallel algorithms and threadsafe data structures readily available in the Java library, the way application programmers should handle concurrent programming has completely changed. I provide fresh coverage, showing you how to use the powerful library features instead of error-prone low-level constructs.

Название: Serious Cryptography: A Practical Introduction to Modern Encryption, 2nd Edition
Автор: Jean-Philippe Aumasson
Издательство: No Starch Press
Год: 2025
Страниц: 376
Язык: английский
Формат: epub
Размер: 14.8 MB

This practical guide to modern encryption breaks down the fundamental mathematical concepts at the heart of cryptography without shying away from meaty discussions of how they work. You’ll learn about authenticated encryption, secure randomness, hash functions, block ciphers, and public-key techniques such as RSA and elliptic curve cryptography. The initial title of this book was Crypto for Real to stress the practice-oriented, real-world, no-nonsense approach I follow. I wanted to make cryptography approachable not by dumbing it down but by tying it to real applications. I provide source code examples and describe real bugs and horror stories. Along with a clear connection to reality, other cornerstones of this book are its simplicity and its modernity. I focus on simplicity in form more than in substance: I present nontrivial concepts without the dull mathematical formalism. Instead, I attempt to impart an understanding of cryptography’s core ideas, which are more important than remembering a bunch of equations. To ensure the book’s modernity, I cover the latest developments and applications of cryptography, such as TLS 1.3 and post-quantum cryptography. I don’t discuss the details of obsolete or insecure algorithms such as DES or MD5. Serious Cryptography isn’t a guide to crypto software, nor is it a compendium of technical specifications—stuff that you’ll easily find online. Instead, its foremost goal is to get you excited about cryptography and teach you its fundamental concepts along the way. Each chapter includes a discussion of common implementation mistakes using real-world examples and details what could go wrong and how to avoid these pitfalls. This new second edition has been thoroughly revised and updated, with a new chapter on cryptocurrency.

Название: Quantum Software: Aspects of Theory and System Design
Автор: Iaakov Exman, Ricardo Pérez-Castillo, Mario Piattini, Michael Felderer
Издательство: Springer
Год: 2024
Страниц: 358
Язык: английский
Формат: pdf (true)
Размер: 40.8 MB

This book explains the state of the art in Quantum Software engineering and design, independent from a specific hardware. It deals with quantum software theoretical aspects and with classical software engineering concepts like agile development approaches, validation, measurement, and deployment applied in a quantum or hybrid environment, and is complemented by a number of various industry applications. After an introductory chapter overviewing the contents of the subsequent chapters, the book is composed of three parts. It starts with a theoretical part on quantum software, as a bold declaration that quantum software theory is deep and valuable independent from the existence of specific quantum hardware. It is based upon the claim that quantum software is the more general theory subsuming classical and hybrid software system theories. The second, more extensive part deals with quantum software system and engineering design. Its quality follows from the comparison of the broad diversity of sometimes conflicting views. Moreover, the variety of approaches to design, enable the reader to make a well-pondered rational choice of preference. The book concludes with a third part, referring to multiple software applications and corresponding laboratory experiences, in order to understand their implications in practice and avoid repeating past mistakes. This book should be of interest to industry professionals and researchers in academia, who are either producing or applying quantum software systems in their work or are considering their potential utility in the future. Furthermore, this text could be beneficial for practitioners already experienced with classical software engineering who desire to understand the fundamentals of quantum software, including the underlying technology, programming techniques, and possible applications.

Название: AI and Digital Technology for Oil and Gas Fields
Автор: Niladri Kumar Mitra
Издательство: CRC Press
Год: 2025
Страниц: 258
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book tries to introduce Artificial Intelligence (AI) as the ability of a computer or a robot controlled by a computer to perform tasks that humans usually do because they require human intelligence and discernment. The primary objective of AI (also called heuristic programming, machine intelligence, or the simulation of cognitive behavior) is to enable computers to perform such intellectual tasks as decision-making, problem-solving, perception, and understanding human communication (in any language, and translating them). AI is a theory and development of computer systems that can perform tasks that normally require human intelligence. Speech recognition, decision-making, and visual perception, for example, are features of human intelligence that AI may possess. AI is also dipping into the digital oilfield well to leverage the latest advancement in intelligent visual monitoring technology to give companies the ability to limit remote site visits while reducing operational expenditure and mitigating safety and environmental risks. Python is one of the specific software programming languages used by various software developers. Being one of the best-known programming languages for AI and neural networks, Python has taken a big lead. AI, in combination with Python, is one of the best tools in the operating software system. Python, with its rich technology competency, has an extensive set of libraries for AI and ML. Some of them are Keras, TensorFlow, and Scikit-learn for ML, and NumPy for high-performance scientific computing and data analysis software.

Название: Artificial Intelligence Solutions for Cyber-Physical Systems
Автор: Pushan Kumar Dutta, Pethuru Raj, B. Sundaravadivazhagan, Chithirai Pon Selvan
Издательство: CRC Press
Год: 2025
Страниц: 465
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and Machine Learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures. Cyber‑physical systems (CPS) are systems that tightly integrate physical components with computational and networking elements. They are becoming increasingly prevalent in a wide range of applications, such as transportation, healthcare, and manufacturing. Artificial Intelligence (AI) has the potential to significantly improve the performance and capabilities of CPS. Deep Learning and neural networks are subfields of AI and Machine Learning (ML) that have gained significant attention and success in recent years. They involve the use of computational models inspired by the structure and function of the human brain to process and analyse complex data. Deep Learning is a subfield of Machine Learning that focuses on employing neural networks with numerous hidden layers to model and solve complex patterns in data. It has had great success in a number of fields, including speech and picture identification, natural language processing, and autonomous driving.

Название: Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions
Автор: Pethuru Raj, B. Sundaravadivazhagan, V. Kavitha
Издательство: Apple Academic Press, CRC Press
Год: 2025
Страниц: 580
Язык: английский
Формат: pdf (true)
Размер: 32.6 MB

Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including Big Data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, Machine Learning approaches, Deep Learning, blockchain technology, convolutional neural networks, and more. Machine and Deep Learning (ML/DL) models are being established and deployed to receive and analyze all kinds of log and security-related event data instantaneously to supply actionable insights and to activate the appropriate countermeasures in time. Therefore, any cybersecurity attack can be nipped in the budding stage. This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks.

Название: Large Language Models: A Deep Dive: Bridging Theory and Practice
Автор: Uday Kamath, Kevin Keenan, Garrett Somers
Издательство: Springer
Год: 2024
Страниц: 496
Язык: английский
Формат: pdf (true)
Размер: 30.7 MB

Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of Artificial Intelligence (AI). LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios. Not surprisingly, LLMs are highly competent at generating computer programming language and natural language. The most popular solution in this space is Github Copilot, which was designed to assist human programmers in developing software using computer code. Since it is the most popular solution in this space, below we will look at its core capabilities as an exemplar of the types of benefits that these types of LLM-enabled applications provide. Multiple programming language support allows developers to interoperate across coding languages efficiently. This capability is most useful in full-stack or specialist-domain application development, where multiple programming languages are used for different solution components. Imagine a full-stack developer writing data handling routines in jаvascript for the user interface. At the same time, Copilot suggests code blocks in Python for the back-end API that serves the data to the front-end.