Название: Postscript
Автор: Сесілія Ахерн
Изд-во: Вид-во «РМ»
Серия: «Авторська серія»
Год: 2020
Страниц: 432
Язык: українська
Формат: pdf/djvu
Размер: 22,43 Мб

Минуло сім років з того часу, як помер Джеррі, чоловік Голлі Кеннеді. І шість років, як вона прочитала його останній лист, що закликає Голлі знайти в собі мужність почати нове життя. Вона подолала біль, наново навчилася дихати, любити, вірити, у неї є всі підстави пишатися тим, як вона подорослішала, якою людиною стала за ці роки.
Але тут її спокій порушують учасники клубу, натхненні її власною історією. І їм терміново потрібна її допомога. Голлі здається, що дружба з цими людьми занурює її в минуле, у світ відчаю й хвороби, змушує ще раз пережити те горе, від якого вона з таким трудом оговталася... - і все ж вона не може їм відмовити.

Название: Высокие давления
Автор: Попова С.В., Бенделиани Н.А.
Издательство: Наука
Год издания: 1974
Количество страниц: 170
Язык: русский
Формат: DJVU
Размер: 10,28 Мб

В книге рассказывается о явлениях, происходящих в твердых телах под воздействием высоких давлений, о принципах создания конструкций, позволяющих получать такие давления, о методах, с помощью которых ученые определяют, что происходит с кристаллическими телами в этих "невыносимых" условиях. Читатель узнает, как в лабораториях высоких давлений были получены первые искусственные алмазы, об особенностях этого синтеза и нерешенных еще загадках; о том, как понимание процессов перестройки кристаллической решетки под давлением позволило ученым создать боразон - вещество, не уступающее по твердости алмазу.
Книга - рассказ об основных и наиболее интересных результатах физики высоких давлений, ее достижениях и перспективах.

Название: Станки с числовым управлением
Автор: Шарин Ю.С.
Издательство: Машиностроение
Год издания: 1976
Количество страниц: 154
Язык: русский
Формат: DJVU, PDF
Размер: 12,87 Мб

В книге рассмотрены особенности числового управления, элементы систем числового управления, программирование управляющей информации, современные типы станков с числовым управлением; приведены сведения об их наладке, особенностях эксплуатации, путях повышения точности и методах составления программ.
Книга предназначена для рабочих, занятых обслуживанием станков с числовым управлением.

Название: Securing Enterprise Networks with Cisco Meraki
Автор: Ryan Chaney, Simerjit Singh
Издательство: Cisco Press
Год: 2025
Страниц: 801
Язык: английский
Формат: epub
Размер: 110.7 MB

Discover the Power of Cisco Meraki. Unlock the full potential of Cisco Meraki with this in-depth guide, designed to help you build and secure modern, cloud-managed networks. Cisco Meraki offers a unique, cloud-managed IT platform that integrates seamlessly with Cisco’s traditional products and other third-party tools. Whether you’re a new Meraki customer, an experienced network engineer, or an IT manager looking to streamline operations, this book provides you with the knowledge and practical steps needed to secure enterprise networks effectively. In a world where cybercrime is an ever-present threat, Meraki’s cloud-managed solutions offer a robust alternative to traditional wired and wireless networks. This book not only introduces you to the fundamentals of Meraki but also dives deep into advanced security configurations, industry best practices, and real-world use cases. By the end of this book, you’ll be equipped to implement Meraki solutions that meet stringent IT security standards and frameworks, ensuring your network is not just operational but resilient and secure.

Название: Introduction to Classifier Performance Analysis with R
Автор: Sutaip L.C. Saw
Издательство: CRC Press
Серия: Data Science Series
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and Machine Learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA). Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning. This book is for those who want a reasonably complete (at least at an introductory level) and up-to-date coverage on the analysis of classification algorithms through the use of performance measures and curves. It attempts to synthesize useful material from the vast published literature on the subject. Another motivation for the book is to show how R can be used to perform the required analysis. As computational software, R has already demonstrated its excellence to a large international community of users. Its appeal is further enhanced by recently developed packages and meta-packages for Data Science, Machine Learning, and classification performance analysis in particular. This is a useful resource for upper level undergraduate and masters level students in Data Science, Machine Learning and related disciplines. Practitioners interested in learning how to use R to evaluate classifier performance can also potentially benefit from the book. The material and references in the book can also serve the needs of researchers in CPA.

Название: Подготовка программ для станков с ЧПУ
Автор: Шарин Ю.С.
Издательство: Машиностроение
Год издания: 1980
Количество страниц: 147
Язык: русский
Формат: DJVU, PDF
Размер: 16 Мб

В книге изложены основные этапы и методы программирования. Рассмотрены способы записи информации на программоносителях, аппаратура и устройства для подготовки и контроля управляющих программ. Даны основный понятия о машинном программировании, описаны языки систем автоматического программирования.
Книга предназначена для рабочих, занятых обслуживанием станков с ЧПУ.

Название: Solve Any Data Analysis Problem: Eight projects that show you how (MEAP v8)
Автор: David Asboth
Издательство: Manning Publications
Год: 2024
Страниц: 562
Язык: английский
Формат: pdf (true)
Размер: 91.8 MB

Complete eight Data Science projects that lock in important real world skills–along with a practical process you can use to learn any new technique quickly and efficiently. Solve Any Data Analysis Problem guides you through eight common scenarios you'll encounter as a data scientist or analyst. As you explore each project, you’ll also master a proven process for quickly learning new skills developed by author and Half Stack Data Science podcast host David Asboth. In Solve Any Data Analysis Problem you’ll learn how to shift the way you think about data from the structured clean problems you get in a classroom, book, or bootcamp to the messy open-ended challenges of the workplace. As you work through eight problems you’ll see over and over on the job, you’ll discover a solutions-driven methodology that’s focused on getting results. You’ll learn how to determine a minimum viable answer for your stakeholders, identify and obtain the data you need to deliver, and reliably present and iterate on your findings. Which tool you are comfortable doing the above in does not matter. I will provide example solutions to the projects in the book using Python, but the focus will be on problem-solving, not the specifics of the Python programming language. Appendix A gives you a quick overview of the skills and tools in the basic Data Science toolkit. If you need to brush up on anything, we’ve linked to some useful resources you can use to get up to speed. As for most solutions I provide, the code itself will be written in Python, primarily using the Pandas library. While code snippets will be used to explain the example solution, I will focus discussions on the conceptual solution and less on the specifics of the code. The solution will be in three parts: setting up the problem statement and the data, creating the first iteration of a solution, and a third part to review the work and decide on further steps.

Название: Starting Data Analytics with Generative AI and Python
Автор: Artur Guja, Marlena Siwiak, Marian Siwiak
Издательство: Manning Publications
Год: 2025
Страниц: 362
Язык: английский
Формат: pdf (true)
Размер: 15.5 MB

Accelerate your mastery of data analytics with the power of ChatGPT. Whether you’re brand new to data analysis or an experienced pro looking to do more work, faster, Starting Data Analytics with Generative AI and Python is here to help simplify and speed up your data analysis! Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day. In Starting Data Analytics with Generative AI and Python you’ll learn how to improve your coding efficiency, generate new analytical approaches, and fine-tune data pipelines—all assisted by AI tools like ChatGPT. For each step in the data process, you’ll discover how ChatGPT can implement data techniques from simple plain-English prompts. Plus, you’ll develop a vital intuition about the risks and errors that still come with these tools. If you have basic knowledge of data analysis, this book will show you how to use ChatGPT to accelerate your essential data analytics work. This speed-up can be amazing: the authors report needing one third or even one quarter the time they needed before. You’ll find reliable and practical advice that works on the job. Improve problem exploration, generate new analytical approaches, and fine-tune your data pipelines—all while developing an intuition about the risks and errors that still come with AI tools. Assuming only that you know the foundations, this friendly book guides you through the entire analysis process—from gathering and preparing raw data, data cleaning, generating code-based solutions, selecting statistical tools, and finally creating effective data presentations. With clearly-explained prompts to extract, interpret, and present data, it will raise your skills to a whole different level.

Название: ChatGPT на каждый день. 333 промта для бизнеса и маркетинга
Автор: Дамир Халилов
Издательство: Альпина Паблишер
Год: 2024
Формат: PDF
Страниц: 313
Размер: 18 Mb
Язык: Русский

В книге приведены основы работы с нейросетью ChatGPT, ее использования для бизнес и маркетинговых задач. Основа книги – 300 готовых промтов, заданий для генерации огромного количества материалов - от постов до сложных маркетинговых документов (Карта Путешествия Клиента, CustDev и других). Качество результата работы нейросети зависит от детальной проработки промта, его структуры и отдельных элементов.

Название: Python Recipes for Earth Sciences, Second Edition
Автор: Martin H. Trauth
Издательство: Springer
Год: 2024
Страниц: 500
Язык: английский
Формат: pdf (true)
Размер: 20.1 MB

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. Codes are available online through GitHub. The book Python Recipes for Earth Sciences is designed to help undergraduate and postgraduate students, doctoral students, post-doctoral researchers, and professionals alike in finding quick solutions to common data analysis problems in the earth sciences. It provides a minimal amount of theoretical background and demonstrates the application of all described methods via examples. The present book contains Python scripts that can be used to solve typical problems in the earth sciences via simple statistics, time series analysis, geostatistics, and image processing. It also demonstrates the application of selected advanced techniques of data analysis, such as nonlinear time series analysis, adaptive filtering, bootstrapping, and terrain analysis. In order to derive the maximum benefit from this book, the reader will need to have access to the Python software and be able to execute the recipes while reading the book. The Python recipes yield various graphs on the screen that are not shown in the printed book. The tutorial-style book does, however, contain numerous figures, thereby making it possible to go through the text without actually running Python on a computer. I developed the recipes using Python 3.8.8, though most recipes will also work with earlier software releases, but not with Python 2.