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Название: Learn Java Fundamentals: A Primer for Java Development and Programming
Автор: Jeff Friesen
Издательство: Apress
Год: 2024
Страниц: 394
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

Sharpen your Java skills and boost your potential as an IT specialist. This book introduces you to the basic Java features and APIs needed to prepare for a career in programming and development. You’ll first receive an introduction to Java and then explore language features ranging from comments though exception/error handling, focusing mainly on language syntax and a few select syntax-related APIs. This constitutes the heart of the book, and you’ll use these building blocks to construct simple Java programs, and learn where Java’s implementations of expressions (and operators), and statements diverge from other languages. The final few chapters tour some additional APIs such as the Math class, related types, String and StringBuffer, and System. Along the way you’ll discover some interesting programs, such as Graph (a sine/cosine wave-plotting application) and WC (a word-counting application). Two appendixes provide quick references to Java’s supported reserved words, and to Java’s supported operators. Equipped with this knowledge, Learn Java Fundamentals will provide you the pathway to explore additional APIs on your own, and increase your Java awareness. Java is like a two-sided coin. From one side, it’s a computer programming language. Conversely, it’s a virtual platform (the hardware and software context in which a program runs) for running programs written in that language. For developers, programmers, and students with little or no Java experience.

Название: Mastering the Requirements Process: Getting Requirements Right, 4th Edition (Early Release)
Автор: James Robertson, Suzanne Robertson
Издательство: Pearson/Addison-Wesley Professional
Год: 2024
Страниц: 500
Язык: английский
Формат: epub
Размер: 42.8 MB

One of the joys of product development, whether it be software, service, or hardware, is getting it right. The way to get it right is to uncover the real business problem, and to write the requirements for the solution that best solves that problem. Without the right requirements it is impossible to build the right solution. Mastering the Requirements Process, Fourth Edition, gives you an industry-proven process for getting to the essence of the business problem and then writing unambiguous and testable requirements for its solution. Many software development projects concentrate solely on the software. This might seem reasonable—after all, most software projects manage to produce some software. However, concentrating almost exclusively on the software is a little like trying to build the Golden Gate Bridge by concentrating on steel. The software, if it is to be valuable to the customer, must solve the customer’s business problem. We build an awful lot of software. Millions (if not billions) of lines of code are produced each year. Much of this code produces the wrong results—it simply does not solve the correct problem. And yet, this is not down to poor requirements, it is down to the project rushing into building a presumed solution without discovering the real requirements.

Название: Software Development, Design, and Coding: With Patterns, Debugging, Unit Testing, and Refactoring 3rd Edition
Автор: John F. Dooley, Vera A. Kazakova
Издательство: Apress
Год: 2024
Страниц: 521
Язык: английский
Формат: pdf (true), epub (true)
Размер: 17.7 MB

Learn the principles of good software design and then turn those principles into great code. This book introduces you to software engineering ― from the application of engineering principles to the development of software. You'll see how to run a software development project, examine the different phases of a project, and learn how to design and implement programs that solve specific problems. This book is also about code construction ― how to write great programs and make them work. This new third edition is revamped to reflect significant changes in the software development landscape with updated design and coding examples and figures. Extreme programming takes a backseat, making way for expanded coverage of the most crucial agile methodologies today: Scrum, Lean Software Development, Kanban, and Dark Scrum. Agile principles are revised to explore further functionalities of requirement gathering. The authors venture beyond imperative and object-oriented languages, exploring the realm of scripting languages in an expanded chapter on Code Construction. The Project Management Essentials chapter has been revamped and expanded to incorporate "Software Development” to discuss the crucial interpersonal nature of joint software creation. Here’s the definition of software development that we’ll use in this book: software development is the process of taking a set of requirements from a user (a problem statement), analyzing them, designing a solution to the problem, and then implementing that solution on a computer.

Название: Python for Accounting and Finance: An Integrative Approach to Using Python for Research
Автор: Sunil Kumar
Издательство: Palgrave Macmillan
Год: 2024
Страниц: 502
Язык: английский
Формат: pdf (true)
Размер: 24.7 MB

This book is a comprehensive guide to the application of Python in accounting, finance, and other business disciplines. This book is more than a Python tutorial; it is an integrative approach to using Python for practical research in these fields. The book begins with an introduction to Python and its key libraries. It then covers real-world applications of Python, covering data acquisition, cleaning, exploratory data analysis, visualization, and advanced topics like Natural Language Processing (NLP), Machine Learning, predictive analytics, and Deep Learning. What sets this book apart is its unique blend of theoretical knowledge and real-world examples, supplemented with ready-to-use code. It doesn't stop at the syntax; it shows how to apply Python to tackle actual analytical problems. “Python for Accounting and Finance” uses case studies to illustrate how Python can enhance traditional research methods in accounting and finance, not only allowing the reader to gain a firm understanding of Python programming but also equipping them with the skills to apply Python to accounting, finance, and broader business research. Whether you are a PhD student, a professor, an industry professional, or a financial researcher, this book provides the key to unlocking the full potential of Python in research. One of the standout features of “Python for Accounting and Finance” is its focus on real-world case studies and practical examples, supplemented with ready-to-use codes for most of the activities involved for research in these disciplines.

Название: Object-Oriented Software Design in C++ (Final)
Автор: Ronald Mak
Издательство: Manning Publications
Год: 2024
Страниц: 520
Язык: английский
Формат: epub
Размер: 15.7 MB

Learn the fundamentals of Object-Oriented design by investigating good—and bad—code! Well-designed applications run more efficiently, have fewer bugs, and are easier to revise and maintain. Using an engaging “before-and-after” approach, Object-Oriented Software Design in C++ shows you exactly what bad software looks like and how to fix it with good design principles and patterns. Object-Oriented Software Design in C++ is a vital guide to building the kind of high performance applications delivered by the pros—all using industry-proven design principles and patterns. You’ll learn how to gather and analyze requirements so you’re building exactly what your client is looking for, backtrack mistakes with iterative development, and build a toolbox of design patterns that troubleshoot common issues with application architecture. The book’s accessible examples are written in C++ 17, but its universal principles can be applied to any object-oriented language. Object-Oriented Software Design in C++ introduces object-oriented design principles, practices, and patterns in clear, jargon-free language. The instantly-familiar before-and-after examples highlight the benefits of good design. Each chapter is full of friendly conversations that anticipate your questions and help point out the subtleties you might overlook. Along the way, you’ll pick up tips about idiomatic C++ style that will set your code apart. Examples are in C++ 17.

Название: Секреты программирования игр
Автор: Ламот Андре, Ратклифф Д., Семинаторе М.
Издательство: СПб.: Пите
Год: 1995
Формат: pdf
Страниц: 720
Размер: 13 mb
Язык: русский

Первое отечественное издание, представляющее полное руководство по программированию игр любого уровня сложности, включая сложные динамические игры со звуковыми эффектами (типа DOOM). Книга написана известными специалистами и содержит массу ценнейших советов по программированию различных игровых эффектов и ведению проекта от идеи до ее практической реализации с использованием всего спектра аппаратного обеспечения персонального компьютера (различных видеокарт, звуковых карт и т. п.). Для чтения книги необходимо знакомство с языком C.

Название: Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions
Автор: Gustavo Carneiro
Издательство: Academic Press/Elsevier
Год: 2024
Страниц: 312
Язык: английский
Формат: epub
Размер: 43.5 MB

Machine Learning and Noisy Labels: Definitions, Theory, Techniques and Solutions provides an ideal introduction to Machine Learning with noisy labels that is suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching, Machine Learning methods. Most of the modern Machine Learning models based on Deep Learning techniques depend on carefully curated and cleanly labeled training sets to be reliably trained and deployed. However, the expensive labeling process involved in the acquisition of such training sets limits the number and size of datasets available to build new models, slowing down progress in the field. This book defines the different types of label noise, introduces the theory behind the problem, presents the main techniques that enable the effective use of noisy-label training sets, and explains the most accurate methods. The book starts by defining the noisy-label learning problem, then it introduces different types of label noise and the theory behind the problem. It also presents the main techniques and methods that enable the effective use of noisy-label training sets. With this book, the reader will have the tools to be able to understand, reproduce, and design regression, classification, segmentation, and detection models that can be trained with large-scale noisy-label training sets. Advanced Machine Learning courses that cover topics in learning with noisy-label and real-world datasets will greatly benefit from the insights provided in this book.

Название: Federated Learning: Theory and Practice
Автор: Lam M. Nguyen, Trong Nghia Hoang, Pin-Yu Chen
Издательство: Academic Press/Elsevier
Год: 2024
Страниц: 434
Язык: английский
Формат: epub
Размер: 23.4 MB

Federated Learning: Theory and Practice provides a holistic treatment to Federated Learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of optimization fundamentals and modeling challenges, covering various aspects of communication efficiency, theoretical convergence, and security. Part II features emerging challenges stemming from many socially driven concerns of Federated Learning as a future public Machine Learning service. Part III concludes the book with a wide array of industrial applications of Federated Learning, as well as ethical considerations, showcasing its immense potential for driving innovation while safeguarding sensitive data. Federated Learning: Theory and Practice provides a comprehensive and accessible introduction to Federated Learning which is suitable for researchers and students in academia, and industrial practitioners who seek to leverage the latest advance in Machine Learning for their entrepreneurial endeavors. In our era of Big Data and the rapid advancement of Artificial Intelligence (AI), innovation and progress are often driven by harnessing the power of vast amounts of data. Yet, privacy concerns and data protection regulations have placed limitations on traditional centralized approaches to Machine Learning: While data are abundant, they often exist in small and isolated silos. The need for collaborative and privacy-preserving approaches to Machine Learning has therefore become more crucial than ever. In this context, Federated Learning (FL) has emerged as the de facto framework for distributed Machine Learning (ML) that preserves the privacy of data, especially in the proliferation of mobile and edge devices with their increasing capacity for storage and computation.

Название: Learn Ansible: Automate your cloud infrastructure, security configuration, and application deployment with Ansible
Автор: McKendrick Russ
Издательство: Packt
Год выхода: 2024
Страниц: 414
Формат: True PDF
Размер: 13,8 MB
Язык: английский

Learn Ansible is for system administrators, developers, and infrastructure engineers who want to implement infrastructure automation and configuration management using Ansible. The hands-on tutorials make this book ideal for both beginners as well as intermediate users looking to take their Ansible skills to the next level. Technology professionals working with public cloud platforms like AWS and Azure will also find valuable insights into automating deployments.

Название: Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG
Автор: Louis-François Bouchard, Louie Peters
Издательство: Towards AI, Inc.
Год: 2024
Страниц: 475
Язык: английский
Формат: epub (true)
Размер: 11.1 MB

With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LLMs to specific use cases with enhanced accuracy, reliability, and scalability. Written by over 10 people on our Team at Towards AI and curated by experts from Activeloop, LlamaIndex, Mila, and more, it is a roadmap to the tech stack of the future. Whether you're looking to enhance your skills or dive into the world of AI for the first time as a programmer or software student, our book is for you. From the basics of LLMs to mastering fine-tuning and RAG for scalable, reliable AI applications, we guide you every step of the way. The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It is tailored for readers with an intermediate knowledge of Python.