Название: Basics of Python Programming: A Quick Guide for Beginners
Автор: Krishna Kumar Mohbey, Malika Acharya
Издательство: Bentham Books
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 55.9 MB

Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and Machine Learning. Our primary goal in writing this book is to provide an approachable resource for beginners new to programming or with limited coding experience. We understand that learning a programming language can be intimidating, especially for those starting from scratch. With "Basics of Python Programming: A Quick Guide for Beginners", we have consciously designed the content to be beginner-friendly, focusing on simplicity and clarity of explanations.

Название: Applied Statistics with Python Volume I: Introductory Statistics and Regression
Автор: Leon Kaganovskiy
Издательство: CRC Press
Год: 2025
Страниц: 320
Язык: английский
Формат: pdf (true), epub
Размер: 16.6 MB

Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, while also being useful as a supplementary text for more advanced students.

Название: Artificial Intelligence for Engineers: Basics and Implementations
Автор: Zhen "Leo" Liu
Издательство: Springer
Год: 2025
Страниц: 441
Язык: английский
Формат: pdf (true)
Размер: 34.0 MB

This book presents basic knowledge and essential toolsets needed for people who want to step into Artificial Intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain big pictures for both AI and essential AI topics within the shortest amount of time. Based on the picture(s), suitable amounts of theoretical knowledge are contextualized to help the learner gain information about the most essential concepts and algorithms. These algorithms are introduced and formulated in a way that the learner can easily implement them for real-world applications with a small amount of effort. In short, you read it, you understand it, you try it, and you can solve it. This book, though titled Artificial Intelligence, is mostly devoted to numeric AI represented by Machine Learning algorithms, which predominate the so-called third wave/tide of AI. The most common and useful ML topics are selected and introduced.

Название: Maths For Computing: A Beginner's Guide
Автор: Quentin Charatan, Aaron Kans
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 225
Язык: английский
Формат: pdf (true), epub
Размер: 23.5 MB

This introductory textbook covers all the mathematical concepts necessary for a computing degree, limiting coverage only to the material needed for the fundamentals of computing rather than delving into the higher mathematical concepts. The book is written for students embarking on an undergraduate or foundation degree course in Computer Science (or related discipline) and aims to provide the basic skills and knowledge of discrete mathematics required for such a course. Whereas many textbooks tend to teach this subject in a way that is more suitable for mathematicians, this text specifically targets first-year students on computing courses and aims to teach only the basic material that they will need for their computing degree.

Название: Natural Language Processing for Software Engineering
Автор: Rajesh Kumar Chakrawarti, Ranjana Sikarwar, Sanjaya Kumar Sarangi, Samson Arun Raj Albert Raj
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 525
Язык: английский
Формат: pdf (true)
Размер: 55.5 MB

The book’s goal is to discuss the most current trends in applying natural language processing (NLP) approaches. It makes the case that these areas will continue to develop and merit contributions. The book focusses on software development that is based on visual modelling, is object-orientated, and is one of the most significant development paradigms today. To reduce issues throughout the documentation process, there are still a few considerations to make. To assist developers in their documentation tasks, a few aids have been developed. To aid with the documentation process, a variety of related tools (such as assistants) may be made using Natural Language Processing (NLP). The book is focused on software development and operation using data mining, informatics, Big Data analytics, Artificial Intelligence (AI), Machine Learning (ML), digital image processing, the Internet of Things (IoT), cloud computing, computer vision, cyber security, Industry 4.0, and health informatics domains.

Название: Handbook of Artificial Intelligence
Автор: Dumpala Shanthi, B. Madhuravani, Ashwani Kumar
Издательство: Bentham Books
Год: 2023
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 62.2 MB

Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in Machine Learning (ML) and Deep Learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries. Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in Artificial Intelligence, Data Science, engineering and Computer Science who are required to understand AI/ML in a practical context.

Название: Contract Testing in Action: With Pact, PactFlow, and GitHub Actions
Автор: Marie Cruz, Lewis Prescott
Издательство: Manning Publications
Год: 2025
Страниц: 304
Язык: английский
Формат: epub (true)
Размер: 17.2 MB

Contract testing is a simple, reliable way to make sure that each service and API plays nice with other components so you can deploy independently and safely. Contract Testing in Action makes it easy for your team to adopt contract testing for microservices and other API-centric systems. You’ll start by learning how contract testing fits into the software development lifecycle, and then you’ll explore practical methods to integrate it with your own tech stack and practices. You’ll use leading contract testing tools—including Pact, PactFlow, and GitHub Actions—to build your own contract testing framework, set up consumer-driven contract testing for REST and GraphQL APIs, and integrate it into your CI/CD pipeline. For software developers and quality engineers who have worked with Java or jаvascript, and APIs.

Название: Coding & Programming User Manual - 24th Edition, 2025
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2025
Страниц: 148
Язык: английский
Формат: pdf
Размер: 72.6 MB

Программирование встречается повсюду. От вашего телевизора до Международной космической станции - миллионы строк кода, управляющего и предоставляющего услуги, которые мы воспринимаем как должное. За всем этим кодом стоят программисты, которые разрабатывают наш цифровой мир, используя множество различных языков для создания Интернета, операционных систем, игр и современных развлечений. Мы расскажем вам об основах Python, Linux, Raspberry Pi и C++ - четырех самых мощных языках в мире, которые используются в NASA, Microsoft, Apple и во всем Интернете. Вы найдете идеи, концепции, руководства, подсказки и проекты, которые помогут вам пройти путь от новичка до продвинутого программиста, способного создавать свой собственный код. Ваше путешествие в программирование начинается здесь...

Название: Quantum Technology Applications, Impact, and Future Challenges
Автор: Mohammad Hammoudeh, Clinton Firth, Harbaksh Singh, Christoph Capellaro
Издательство: CRC Press
Год: 2025
Страниц: 205
Язык: английский
Формат: pdf (true), epub
Размер: 13.0 MB

This book presents a comprehensive exploration of Quantum Computing, exploring its wide-ranging applications across industries, elucidating its transformative impact on diverse sectors, and addressing the forthcoming challenges and future directions within this rapidly evolving field. Quantum Technology Applications, Impact, and Future Challenges explores the current state of quantum hardware and software, providing readers with a clear understanding of the challenges and opportunities posed by this technology. It also examines how Quantum Computing is being used today in industries such as energy, finance, healthcare, and logistics, offering real-world examples of the potential impact of this technology. Readers will gain an understanding of quantum computing’s potential applications and its profound implications for businesses, individuals, and society at large. Through a blend of theoretical insights, practical examples, and thought-provoking discussions, this book equips readers with the knowledge and vision to navigate quantum technology with confidence.

Название: Understanding Modelling and Programming
Автор: Andreas Prinz, Birger Møller-Pedersen, Joachim Fischer, Bernhard Thalheim
Издательство: Springer
Год: 2025
Страниц: 125
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

This book provides a concise overview of modelling and programming by presenting their essential concepts. It enables the reader to better understand the relationships between modelling and programming by describing abstract properties, desired behaviours, intended structures, needed interactions, and other specific viewpoints on the overall system under development. After an introduction to the importance of modelling and programming in the scope of system engineering in chapter 1, the book provides four main chapters covering systems, models, specifications, and programs, each of them with a set of reflection exercises. Chapter 2 explores how systems relate to reality, exploring different perspectives related to the purpose of the system. Chapter 3 explains what it takes to be a model and how models and systems are related and concludes with discussing model semantics, meaning, and correctness. In Chapter 4, specifications are debated which are precise descriptions of models and systems. It presents the language constructs needed to describe systems and shows how the constructs can be expressed in concrete languages, considering both the structure and the behaviour of models. The book is carefully designed to explain modelling and programming concepts, their relationships, and their use. Written for Computer Science students and lecturers, it covers systems, modelling, programming, simulation, and semantics.