Название: Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Final Release)
Автор: Claudio Jolowicz
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 541
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, Nox, pytest, mypy, pre-commit, Black, Ruff, uv, Rye, Hatch, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, and type checking. You don’t strictly need these tools to write Python software. Fire up your system’s Python interpreter and get an interactive prompt. Save your Python code as a script for later. Why use anything beyond an editor and a shell? This is not a rhetorical question. Every tool you add to your development workflow should have a clear purpose and bring benefits that outweigh the costs of using it. Generally, the benefits of development tooling become manifest when you need to make development sustainable over time. At some point, publishing your module on the Python Package Index will be easier than emailing it to your users. This book assumes that you have a basic knowledge of the Python programming language. The only tooling you need to be familiar with are the Python interpreter, an editor or IDE, and the command line of your operating system.

Название: Artificial Intelligence and Machine Learning in Drug Design and Development
Автор: Abhirup Khanna, May El Barachi, Sapna Jain, Manoj Kumar
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 670
Язык: английский
Формат: pdf (true)
Размер: 88.5 MB

The book is a comprehensive guide that explores the use of Artificial Intelligence (AI) and Machine Learning (ML) in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence and Machine Learning within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals.

Название: Explainable Artificial Intelligence in Healthcare Systems
Автор: A. Anitha Kamaraj, Debi Prasanna Acharjya
Издательство: Nova Science Publishers
Серия: Computer Science, Technology and Applications
Год: 2024
Страниц: 389
Язык: английский
Формат: pdf (true)
Размер: 37.7 MB

The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and Explainable Artificial Intelligence (XAI). They cover recent advances in the field of healthcare, reflect the current discourse, and offer suggestions for future research. The book is divided into four sections: primitive concepts of XAI, XAI in smart tele-medicine and tele-health, public health application using XAI, and medical imaging classification using XAI. Thus, the book covers a comprehensive set of material ranging from fundamentals to image analysis employing XAI ideas. Explainable Artificial Intelligence (XAI) is a next-generation research field that aims to make AI and deep models more human-interpretable without compromising performance. Artificial Intelligence (AI), Machine Learning, and Deep Learning models have paved a solid predictive path in numerous real-life applications, including medical imaging and healthcare tasks. In healthcare, decisions and investigation process is taken with great care, but risks are associated with diagnosing a disease. The diagnosis of the patient's illness is analyzed based on various symptoms, observations, test reports, and experience. However, there is a chance of uncertainty while analyzing the data. Additionally, a second opinion is sought in many cases. Using AI, it is possible to automate the model to mimic the process of a domain expert so that a physician can think of alternative decisions while making decisions. Specifically, XAI provides a clear picture of prediction concerning Deep Learning models and the use of predictedresults in healthcare applications. This book aims to provide the basic and intermediate notions of XAI and its application to healthcare applications.

Название: How Machine Learning is Innovating Today's World: A Concise Technical Guide
Автор: Arindam Dey, Sukanta Nayak, Ranjan Kumar, Sachi Nandan Mohanty
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 477
Язык: английский
Формат: pdf (true)
Размер: 50.6 MB

Provides a comprehensive understanding of the latest advancements and practical applications of Machine Learning techniques. Machine Learning (ML), a branch of Artificial Intelligence (AI), has gained tremendous momentum in recent years, revolutionizing the way we analyze data, make predictions, and solve complex problems. As researchers and practitioners in the field, the editors of this book recognize the importance of disseminating knowledge and fostering collaboration to further advance this dynamic discipline. How Machine Learning is Innovating Today's World is a timely book and presents a diverse collection of 25 chapters that delve into the remarkable ways that ML is transforming various fields and industries. It provides a comprehensive understanding of the practical applications of ML techniques. The chapters herein cover a wide range of topics, each contributing a unique perspective to the broader landscape of machine learning. First is a comprehensive analysis of various tokenization techniques and the sequence-to-sequence model in natural language processing. Next, Chapter 2 explores the evaluation of English language readability using ML models, followed by a detailed study of text analysis for information retrieval through natural language processing (NLP) in the subsequent chapter. Recommender systems’ domain of application is discussed in Chapter 16, and the next chapter reviews mood detection, emoji generation, and classification using tokenization and CNN. Chapter 18 delves into a new variation of the exam scheduling problem using graph coloring, and Chapter 19 examines the intersection of software engineering and Machine Learning applications. The book will be extremely useful to professionals, post-graduate research scholars, policymakers, corporate managers, and anyone with technical interests looking to understand how Machine Learning and Artificial Intelligence can benefit their work.

Название: Разработка мобильных приложений на C# для iOS и Android
Автор: Черников В.
Издательство: ДМK
Год: 2020
Cтраниц: 188
Формат: pdf (ocr)
Размер: 26 мб
Язык: русский

Данная книга в сжатой форме описывает целостный процесс создания приложений для смартфонов и планшетов. Рассматриваются особенности мобильных операционных систем и устройств, выбор инструментов для разработки, подготовка рабочей документации в духе Agile, проектирование структуры и архитектуры решения, создание автоматизированного конвейера Continues Integration/Continues Delivery, а также мониторинг работоспособности конечного продукта на устройствах реальных пользователей. Все примеры приведены на языке C#.

Название: Think Like a Software Engineering Manager (Final Release)
Автор: Akanksha Gupta
Издательство: Manning Publications
Год: 2024
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves! Most development teams are only as good as their leader. In this practical guide, you'll explore all aspects of the software engineering manager's job, from operational practices to the core skills of handling humans. Experienced team leader Akanksha Gupta helps you explore whether software engineering management is the right move for your career, guides you through preparing for the position, and gives you all the tools you need to thrive in the role. Thought-provoking exercises help you apply what you learn to your daily professional life, and prepare you for making the big decisions about software. A software engineering manager needs to be an amazing communicator, an effective decision maker, and a thoughtful mentor. Your success depends on your ability to evaluate and manage projects, motivate and lead your team, and coolly handle whatever crisis each new day brings. It's a big transition, and this book will guide you every step of the way. Think Like a Software Engineering Manager teaches you how to hire, train, and lead a successful development team. You'll start with building and managing your team to maximize performance. You'll then quickly progress to strategies for delivering large scale projects, cultivating excellence in your projects, and managing change. Author Akanksha Gupta's battle stories and industry anecdotes from her work at Amazon, Audible, Robinhood, and Microsoft reveal how the experts handle the biggest engineering management challenges. For new and aspiring software engineering managers.

Название: D3.js in Action, 3rd Edition (Final Release)
Автор: Elijah Meeks, Ann-Marie Dufour
Издательство: Manning Publications
Год: 2024
Страниц: 658
Язык: английский
Формат: pdf (true)
Размер: 46.7 MB

Create stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. Chapter-by-chapter you’ll assemble an impressive portfolio of visualizations—including intricate networks, maps, and even a complete customized visualization layout. Plus, you'll learn best practices for building interactive graphics, animations, and integrating your work into frontend development frameworks like React and Svelte. D3.js in Action, Third Edition has been extensively revised for D3.js version 7, and modern best practices for web visualizations. Its brand new chapters dive into interactive visualizations, cover responsiveness for dataviz, and show you how you can improve accessibility. With D3.js, you can create sophisticated infographics, charts, and interactive data visualizations using standard frontend tools like jаvascript, HTML, and CSS. Granting D3 its VIS Test of Time award, the IEEE credited this powerful library for bringing data visualization to the mainstream. You’ll be blown away by how beautiful your results can be! D3.js in Action, Third Edition is a roadmap for creating brilliant and beautiful visualizations with D3.js. Like a gentle mentor, it guides you from basic charts all the way to advanced interactive visualizations like networks and maps. You’ll learn to build graphics, create animations, and set up mobile-friendly responsiveness. Each chapter contains a complete data visualization project to put your new skills into action. For web developers with HTML, CSS, and jаvascript skills.

Название: Django in Action (Final Release)
Автор: Christopher Trudeau
Издательство: Manning Publications
Год: 2024
Страниц: 438
Язык: английский
Формат: pdf (true)
Размер: 12.4 MB

Build professional quality web applications using Python and the Django 5.0 web framework. The Django web application framework powers huge sites like Netflix, Dropbox, YouTube, and Spotify. Learn how it can power your web apps too! In this hands-on book, you'll begin building a fully functional web application with Django starting with chapter 1. Django in Action is the perfect way to get started for new Django developers creating their first Python-based web apps. It's written by Christopher Trudeau, co-host of The Real Python Podcast and creator of dozens of popular courses at Real Python and TalkPython. The book starts with Django's basics and works through all of the core concepts of the framework until you're comfortable and confident creating your own web apps. You'll especially enjoy the author's lighthearted style that makes learning fun! Django makes life easier for Python web developers. This "batteries included" framework comes packed with everything you need—a template engine that crafts HTML-like code, efficient user management features, automated testing, robust API support, and much more. If you know the basics of Python, Django will help you build professional-quality web applications. This book will show you how. For readers with basic Python programming and some HTML knowledge.

Название: The Future of Artificial Neural Networks
Автор: Indrajit Ghosal, Arun Mittal, Hemlata Jain
Издательство: Nova Science Publishers
Серия: Computer Science, Technology and Applications
Год: 2024
Страниц: 222
Язык: английский
Формат: pdf (true)
Размер: 18.0 MB

This book is a compilation of eleven quality articles exploring a variety of aspects on applications of ANN. Various authors of the articles have presented their work around the applications of ANN in healthcare and self-medication behaviour, Stock Market Analytics, ANN integrated application for industries including regulatory complaining aspect in Banking Industry, Deep Learning Framework in Medical Diagnosis, Face Recognition, Mobile Learning in Medical Education, Process and Applications of ANN using MATLAB, etc. Chapter 1 - This chapter explores the integration of Machine Learning techniques, particularly deep neural networks, in the field of medical image processing for precision medicine. The healthcare industry has accumulated vast amounts of complex data, and advancements in technology have led to an increase in structured and unstructured medical data. The chapter discusses the historical development of image processing techniques, moving from labor-intensive approaches to more efficient and faster operations using artificial neural networks. Various feature extraction methods, with a focus on dimensionality reduction, are investigated to optimize the performance of neural networks. The application of deep neural network models in medical imaging is explored, with a gradual implementation strategy proposed to address challenges related to data variability across institutions.

Название: Разработка SCADA-систем
Автор: Кангин В. В. , Кангин М. В. , Ямолдинов Д. Н.
Издательство: Инфра-Инженерия
Год: 2019
Cтраниц: 565 с. : ил., табл., схем.
Формат: pdf (ocr)
Размер: 38 мб
Язык: русский

Даны рекомендации по проектированию SCADA-системы с использованием среды визуального программирования Delphi. Приведен обзор существующих SCADA-систем с анализом принципов их работы. Рассмотрены возможности SCADA-системы как инструмента для просмотра тегов. Освещены вопросы организации распределенных систем управления с развитым диспетчерским уровнем.