Название: The Scrum Anti-Patterns Guide: Challenges Every Scrum Team Faces and How to Overcome Them
Автор: Stefan Wolpers
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 417
Язык: английский
Формат: pdf (true), epub
Размер: 10.7 MB

Unlock Scrum success for beginners and experts alike with The Scrum Anti-Patterns Guide, your key to understanding and elevating Scrum practices. Scrum is simple to understand but difficult to master. As a framework, Scrum is particularly challenging as there is no formal education tailored to these roles and no comprehensive set of practices readily available to those interested in applying it. The Scrum Guide 2020 describes its underlying principles only in the broadest strokes--from applying Scrum to complex adaptive problems to embracing self-management--but the Scrum Guide is not at all prescriptive about how Scrum Teams work. The Scrum Anti-Patterns Guide compiles the most common challenges that every Scrum Team faces and how to remedy them. Stefan Wolpers uses the Scrum Guide as a template to structure the content, thus supporting the junior practitioners Scrum discovery journey (categorized by roles, events, artifacts, and commitments) while allowing the more experienced reader to use the book to reference individual problems or situations.

Название: Beyond the Algorithm: AI, Security, Privacy, and Ethics (Final)
Автор: Omar Santos, Petar Radanliev
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.3 MB

This book is a comprehensive, cutting-edge guide designed to educate readers on the essentials of Artificial Intelligence (AI) and Machine Learning (ML), while emphasizing the crucial aspects of security, ethics, and privacy. The book aims to equip AI practitioners, IT professionals, data scientists, security experts, policy-makers, and students with the knowledge and tools needed to develop, deploy, and manage AI and ML systems securely and responsibly. The book is divided into several sections, each focusing on a specific aspect of AI. It begins by introducing the fundamentals of AI technolgies, providing an overview of their history, development, and various types. This is followed by a deep dive into popular AI algorithms and large language models (LLMs), including GPT-4, that are at the forefront of AI innovation.

Название: Python Coding Tricks and Tips - 17Th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 39.7 MB

Python Coding Tricks and Tips - это идеальное цифровое издание для пользователей, которые хотят поднять свой набор навыков на новый уровень. Вы хотите повысить свой пользовательский опыт? Или хотите получить инсайдерские знания? Хотите учиться непосредственно у экспертов в своей области? Узнать о многочисленных приемах, которые используют профессионалы? На страницах нового руководства для продвинутых пользователей вы узнаете все, что вам нужно знать, чтобы стать более уверенным, умелым и опытным пользователем, который будет извлекать максимальную пользу из своего кодирования и, в конечном счете, из самого программирования Python. Это достижение вы можете заслужить, просто позволив нам эксклюзивно помочь вам и научить вас тем способностям, которые мы приобрели за десятилетия нашего опыта.

Название: Intro To Machine Learning with PyTorch
Автор: Stefan Weiß
Издательство: Independently published
Год: November 10, 2023
Язык: английский
Формат: pdf
Размер: 10.1 MB

Dive into the world of intelligent systems with 'Intro to Machine Learning with PyTorch.' This comprehensive ebook serves as your gateway to understanding the fundamentals of Machine Learning using PyTorch, a powerful open-source Machine Learning library. Whether you're a beginner or have some experience in the field, this guide offers a clear and structured approach to learning the essentials of Machine Learning. Explore the key concepts and techniques that drive Machine Learning algorithms while focusing on PyTorch's functionalities. From the basics of tensors and operations to building and training neural networks, this ebook provides hands-on examples and practical exercises to reinforce your understanding.

Название: Fortran with Python: Integrating legacy systems with Python
Автор: Hayden Van Der Post, Vincent Bisette
Издательство: Reactive Publishing
Год: 2024
Страниц: 295
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Fortran with Python: Integrating Legacy Systems with Python" is a groundbreaking guide that bridges the gap between the robust, time-tested capabilities of Fortran and the modern, versatile power of Python. This book is a must-have for developers, engineers, and IT professionals seeking to revitalize and extend the life of their legacy Fortran systems through integration with Python's dynamic programming environment. Dive into a comprehensive exploration that begins with the fundamentals of Fortran and Python, highlighting their distinct advantages and how they can complement each other. Whether you're a seasoned programmer in one language looking to learn the other, or you're new to both, this book offers a clear path forward, demystifying the integration process. "Fortran with Python" provides practical, step-by-step instructions for leveraging Python's libraries and tools to enhance Fortran's computational efficiency, manage data more effectively, and introduce GUIs to legacy applications. Readers will learn how to call Fortran code from Python and vice versa, enabling the best of both worlds: the unparalleled computational power and speed of Fortran and the simplicity and flexibility of Python.

Автор: Сандерс У., Кумаранатунг Ч.
Название: ActionScript 3.0. Шаблоны проектирования
Издательство: СПб.: Символ
Год: 2011
ISBN: 9785932861899
Язык: Русский, пер. с англ.
Формат: pdf
Размер: 35,5 mb
Страниц: 578, ил.

Целевая аудитория книги — разработчики ActionScript со средним уровнем подготовки.

Название: Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Автор: Sebastian Raschka
Издательство: No Starch Press
Год: 2024
Страниц: 325
Язык: английский
Формат: pdf, epub
Размер: 28.8 MB

If you’re ready to venture beyond introductory concepts and dig deeper into Machine Learning, Deep Learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about. Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises. This book adopts a unique Q&A style, where each brief chapter is structured around a central question related to fundamental concepts in Machine Learning, Deep Learning, and AI. Every question is followed by an explanation, with several illustrations and figures, as well as exercises to test your understanding. Many chapters also include references for further reading. These bite-sized nuggets of information provide an enjoyable jumping-off point on your journey from Machine Learning beginner to expert.

Название: The Kubernetes Book: 2024 Edition
Автор: Nigel Poulton
Издательство: Leanpub
Год: 2024-02-03
Страниц: 308
Язык: английский
Формат: pdf (true)
Размер: 16.4 MB

2024 edition. Fully updated for Kubernetes v1.29. Brand new chapter covering WebAssembly on Kubernetes. The Kubernetes Book, by Nigel Poulton, renowned author and video trainer, is up to date with the latest trends in Kubernetes and the rapidly evolving cloud-native ecosystem. Containers transformed how we package and deploy applications, but they came with inherent challenges. Kubernetes is a platform for deploying and managing containerised applications at scale. It also abstracts underlying infrastructure, making it easier to deploy and manage applications across heterogenous clouds and on-premises environments. Containerization is the process of packaging an application and dependencies as an image and then running it as a container. It can be useful to think of containers as the next generation of virtual machines (VM). Both are ways of packaging and running applications, but containers are smaller, faster, and more portable. Despite these advantages, containers haven’t replaced VMs, and it’s common for them to run side-by-side in most cloud-native environments. However, containers are the first-choice solution for most new applications.

Название: Multilevel Modeling Using R, 3rd Edition
Автор: W. Holmes Finch, Jocelyn E. Bolin
Издательство: Springer
Год: 2024
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single-level and multilevel data. The third edition of the book includes several new topics that were not present in the second edition. Specifically, a new chapter has been included, focussing on fitting multilevel latent variable modeling in the R environment. With R, it is possible to fit a variety of latent variable models in the multilevel context, including factor analysis, structural models, item response theory, and latent class models. The third edition also includes new sections in Chapter 11 describing two useful alternatives to standard multilevel models, fixed effects models and generalized estimating equations.

Название: Разработка средств безопасности и эксплойтов
Автор: Фостер Д.К., Лю В.
Издательство: Питер
Год: 2007
Cтраниц: 432
Формат: pdf
Размер: 61 мб
Язык: русский

Эта книга — подробное руководство по разработке средств безопасности для веб-приложений. В ней подробно рассматриваются проблемы безопасности программного обеспечения. На многочисленных примерах изучается принцип использования различных типов уязвимостей компьютерных систем, выполняется детальный анализ техник взлома.