Litgu.ru - Литературный Гуру

Название: Решение основных задач линейной алгебры на языке R и Excel по дисциплинам «Математика», «Математика и анализ данных»: Учебное пособие
Автор: Каган Д.З.
Издательство: Прометей
Год: 2024
Страниц: 137
Язык: русский
Формат: pdf
Размер: 11.7 MB

В учебном пособии рассматриваются основные темы курса линейной алгебры, связанные с матричной алгеброй: матрицы, определители, методы решения систем линейных уравнений. Объясняются способы вычисления определителей нахождения обратной матрицы, ранга матрицы. Разбираются методы Гаусса, Крамера, обратной матрицы для решения систем уравнений. Для всех разделов приводятся основные теоретические сведения, подробные решения типовых задач с помощью языка R и Excel. Также на каждую тему приводятся задачи для самостоятельного решения.

Название: Tidy Finance with Python
Автор: Christoph Scheuch, Stefan Voigt, Patrick Weiss, Christoph Frey
Издательство: CRC Press
Серия: The Python Series
Год: 2024
Страниц: 262
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using pandas, numpy, and plotnine. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.

Название: Zhang Time Discretization (ZTD) Formulas and Applications
Автор: Yunong Zhang, Jinjin Guo
Издательство: CRC Press
Год: 2025
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas. The authors summarize and present the systematic derivations and complete research of ZTD formulas from special 3S-ZTD formulas to general NS-ZTD formulas. These finally led to their proposed discrete-time Zhang neural network (DTZNN) algorithms, which are more efficient, accurate, and elegant. This book will open the door to scientific and engineering applications of ZTD formulas and neural networks, and will be a major inspiration for studies in neural network modeling, numerical algorithm design, prediction, and robot manipulator control. In recent decades, with the characteristics of distributed-storage and high-speed parallel processing, superior performance in large-scale online applications, and convenience of hardware implementations, neural networks have widely arisen in scientific computation and optimization, drawing extensive interest and investigation of researchers. Due to the in-depth research in neural networks, the approaches based on recurrent neural networks (RNNs) are now regarded as powerful alternatives, which can online solve various mathematical and engineering problems. Generally, these RNNs can be divided into two classes: the continuous-time RNNs and the discrete-time RNNs. As a special class of RNNs, originating and extending from the research of Hopfield neural network, zeroing neural network (also termed as Zhang neural network, ZNN) was proposed by Zhang et al. Zeroing neural network (ZNN) is a great alternative to solve time-dependent problems. It is a special class of recurrent neural networks (RNNs), which originates from Hopfield neural network. ZNN is developed to solve time-dependent problems and fully utilizes the information of time derivative and correlation of solutions of adjacent moments. ZNN has been used to solve various problems in science and engineering fields, such as manipulators, control, and time-dependent mathematical operations, ever since its development.

Название: Learning Django 5: Program web apps with complete Django capabilities, ORM, Template, MongoDB and Docker containerization
Автор: Clara Stein
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 596
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Learning Django 5" is intended to help Python programmers, aspiring full stack developers, and web developers build robust and scalable web applications quickly and efficiently. with a basic understanding of Python scripting. Hands-on labs and interactive tasks are used throughout the book to help you practice and apply the concepts as you learn. Beginning with a thorough introduction to Django 5, you'll learn how to install and configure Django on a Linux server, set up virtual environments, and create your first Django project, BookTech. The book walks you through the fundamentals of Django models and ORM, teaching you how to define models, perform database migrations, and interact with the ORM to optimize data querying. You will learn about Django views, including function-based and class-based views, URL mapping, and form handling. The templates section will show you how to create and inherit templates, use template tags and filters, and pass data to templates for dynamic rendering. Advanced topics are thoroughly covered, including user authentication, permission management, and extending the default user model. You'll also learn how to use essential features like site maps, RSS feeds, and SEO optimization to boost your app's visibility and user engagement. The book then goes over deployment and scaling, teaching you how to containerize your application with Docker, deploy to cloud platforms like AWS, and set up continuous integration and deployment pipelines in Jenkins. This book is intended for seasoned Python programmers, web developers looking to expand their skill set, and newcomers eager to dive into the world of web development.

Название: Ultimate PowerShell Automation for System Administration: Streamline Automation and Administration Tasks with Advanced PowerShell Techniques and Expert Insights
Автор: Prashanth Jayaram, Rajendra Gupta
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 789
Язык: английский
Формат: pdf, epub
Размер: 38.6 MB

Power Up Your Automation and Administration with PowerShell. Unlock the power of PowerShell with this comprehensive guide, designed as your ultimate companion, the book is structured into three parts, each focusing on different aspects of PowerShell. You'll start with the basics and then explore PowerShell Core's unique features. Next, you'll delve into building blocks, pipelines, and data control with arrays, loops, and hash tables. As you progress, you'll master PowerShell security and develop advanced functions to automate complex tasks. Further chapters will guide you through optimizing Windows administration, managing tasks and jobs, and exploring remoting features for efficient multi-system management. Finally, you'll leverage PowerShell for cloud operations and integrate it seamlessly with the Microsoft ecosystem. This book provides a progressive journey in PowerShell automation, equipping you with essential skills for various tasks, from Windows administration to cloud operations.

Название: Программирование микроконтроллеров: стратегия и тактика
Автор: Матюшин А.О.
Издательство: ДМК
Год: 2017
Cтраниц: 356
Формат: pdf (ocr)
Размер: 14 мб
Язык: русский

Книга посвящена программированию встраиваемых систем с применением микроконтроллеров. Материал книги сгруппирован в соответствии со стандартными этапами разработки любого программного обеспечения: анализом требований, проектированием, кодированием, отладкой и тестированием.

Название: Building Generative AI Services with FastAPI: A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release)
Автор: Ali Parandeh
Издательство: O’Reilly Media, Inc.
Год: 2024-05-20
Страниц: 350
Язык: английский
Формат: epub
Размер: 11.4 MB

Ready to build applications using Generative AI? This practical book outlines the process necessary to design and build production grade AI services with a FastAPI web server that communicate seamlessly with databases, payment systems, and external APIs. You'll learn how to develop autonomous generative AI agents that stream outputs in real-time and interact with other models. Web developers, data scientists, and DevOps engineers will learn to implement end-to-end production-ready services that leverage Generative AI. You'll learn design patterns to manage software complexity, implement FastAPI lifespan for AI model integration, handle long-running generative tasks, perform content filtering, cache outputs, implement retrieval augmented generation (RAG) with a vector database, implement usage/cost monitoring and tracking, protect services with your own authentication and authorization mechanisms, and effectively control stream outputs directly from GenAI models. You'll explore efficient testing methods for AI outputs, validation against databases, and deployment patterns using Docker for robust microservices in the cloud.

Название: Программирование для Android: Самоучитель
Автор: Денис Колисниченко
Издательство: БХВ-Петербург
Год: 2020
Cтраниц: 280
Формат: pdf
Размер: 12 мб
Язык: русский

Рассмотрены все основные аспекты создания приложений для платформы Android 9 (API 28): установка необходимого программного обеспечения, использование эмулятора Android, создание интерфейса пользователя, работа с графикой, воспроизведение звука и видео, методы хранения данных (в том числе СУБД SQLite), взаимодействие с аппаратными средствами мобильного устройства, отладка приложений и их публикация в магазине Google Play.

Название: C++ Programming For Beginners
Автор: Carlos Vereau
Издательство: Independently published
Год: 2024
Страниц: 979
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Embark on an exciting journey into the world of programming with "C++ Programming For Beginners". Whether you're a complete novice or transitioning from another language, this comprehensive guide is your passport to mastering one of the most powerful and versatile programming languages in existence. Designed with the absolute beginner in mind, this book starts from the ground up, introducing you to the fundamental concepts of programming and gradually building your skills through hands-on examples and practical exercises. With clear explanations and real-world applications, you'll quickly gain the confidence and proficiency needed to write your own C++ programs. Whether you aspire to become a software developer, game programmer, or simply want to expand your programming skills, "C++ Programming For Beginners" is your comprehensive guide to unlocking the full potential of this powerful programming language. Get ready to unleash your creativity and embark on an exciting journey into the world of C++ programming!

Название: Deep Learning at Scale: At the Intersection of Hardware, Software, and Data (Final Release)
Автор: Suneeta Mall
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 448
Язык: английский
Формат: True/Retail PDF, True EPUB (Retail Copy)
Размер: 35.6 MB

Bringing a Deep-Learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack Deep Learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack Deep Learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. Deep Learning and scaling are correlated. Deep Learning is capable of scaling your objectives from single task to multitask, from one modality to multimodality, from one class to thousands of classes. Anything is possible, provided you have scalable hardware and a large volume of data and write software that can efficiently scale to utilize all the resources available to you. This book aims to help you develop a deeper knowledge of the Deep Learning stack—specifically, how Deep Learning interfaces with hardware, software, and data. It assumes that the reader already has a fundamental knowledge of Deep Learning concepts such as optimizers, learning objectives and loss functions, and model assembly and compilation, as well as some experience with model development. Familiarity with Python and PyTorch is also essential for the practical sections of the book.