Название: Современное проектирование на C++
Автор: Александреску А.
Издательство: Вильямс
Год: 2008
Cтраниц: 337
Формат: pdf
Размер: 13 мб
Язык: русский

В книге изложена новая технология программирования, представляющая собой сплав обобщённого программирования шаблонов и объектно - ориентированного программирования на С++. Обобщённые компоненты, созданные автором, высоко подняли уровень абстракции, наделив язык С++ чертами языка спецификации проектирования, сохранив всю его мощь и выразительность.

Название: The Art of Readable Code
Автор: Dustin Boswell and Trevor Foucher
Издательство: O’Reilly Media, Inc.
Год: 2012
Формат: PDF
Страниц: 204
Размер: 24,88 МБ
Язык: English

As programmers, we’ve all seen source code that’s so ugly and buggy it makes our brain ache. Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "bad code" (much of it their own) to determine why they’re bad and how they could be improved.

Название: Software Testing: An ISTQB-BCS Certified Tester Foundation guide, 4th Updated Edition
Автор: Geoff Thompson, Peter Morgan
Издательство: BCS
Год: 2019
Формат: epub, true pdf
Страниц: 296
Размер: 13 Mb, 14.3 Mb
Язык: English

This best-selling software testing title explains the basic steps of software testing and how to perform effective tests. It provides an overview of different techniques, both dynamic and static. It is the only official textbook of the ISTQB-BCS Certified Tester Foundation Level, with self-assessment exercises, guidance notes on the syllabus topics and sample examination questions. This fourth edition includes examples and exercises reflecting current technology and applications. It is ideal for those with a little experience of software testing who wish to cement their knowledge with industry-recognised techniques and theory.

Название: Data Science with Java: Practical Methods for Scientists and Engineers
Автор: Michael R. Brzustowicz PhD
Издательство: O'Reilly Media
Год: 2017
Страниц: 236
Формат: PDF, EPUB, AZW3
Размер: 12 Mb
Язык: English

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today’s data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.

Название: Deep Learning from Scratch (Early Release)
Автор: Seth Weidman
Издательство: O’Reilly Media
ISBN: 9781492041405
Год: 2019-05-03 (First Release)
Страниц: 250
Язык: английский
Формат: epub
Размер: 17.2 MB

This book will provide a solid foundation in how Deep Learning works so that no concept you learn or project you do in the field will seem daunting. It will walk you through how to implement multilayer neural networks, implementing convolutional neural networks and recurrent neural networks from scratch. Using these as building blocks, you will learn to to implement advanced architectures such as image captioning and Neural Turing Machines.

Название: Algorithms for Optimization
Автор: Mykel J. Kochenderfer and Tim A. Wheeler
Издательство: The MIT Press
Год: 2019
Страниц: 521
Язык: английский
Формат: pdf (true)
Размер: 12.6 MB

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.
This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language.

Название: Introducing Delphi ORM: Object Relational Mapping Using TMS Aurelius
Автор: John Kouraklis
Издательство: Apress
Год: 2019
Формат: true pdf/epub
Страниц: 253
Размер: 12.6 Mb
Язык: English

Discover the fundamental concepts of object-relational mapping (ORM) design, Aurelius’ basic features, and the practical applications of those features. In a series of tasks, you will be exposed to techniques and best practices that make the use of Aurelius easy and efficient. Furthermore, you’ll refine your analytical skills to sharpen your understanding of Delphi (Pascal), helping you write better code along the way.
Introducing Delphi ORM explains that while database design is difficult, database programming (i.e., manipulating, extracting, filtering, and manipulating data) is even more difficult. ORM frameworks provide a simpler way for you to access and manage data in databases. You’ll see how they offer different levels of abstraction and tools to code data access in a database-agnostic way by introducing a layer between the application and the data access language (SQL, LINQ, and so on).

Название: Программирование в Delphi 2005
Автор: Боровский А.
Издательство: БХВ-Петербург
Год: 2005
Формат: djvu
Страниц: 434
Для сайта: vtome.ru
Размер: 71.0 Мб
Язык: русский

Книга посвящена разработке в Delphi 2005 различных типов приложений для Windows 2000/XP/2003. Описаны приемы программирования Win32 с учетом специфики Windows 2000/XP/2003, архитектура .

Название: Компьютерный набор нот (Finale 2010)
Автор: Фурманов В.И.
Издательство: Современная музыка
Год: 2011
Формат: pdf, djvu
Страниц: 150
Для сайта: vtome.ru
Размер: 12.3 Мб
Язык: русский

Это справочник по известной программе подготовки нотных изданий Finale 2010. Книга рассчитана на широкий круг читателей, в ней подробно освещены пункты меню программы и основные действия, необходимые для создания качественных нот.

Название: Concepts of Soft Computing: Fuzzy and ANN with Programming
Автор: Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato
Издательство: Springer
Год: 2019
Страниц: 206
Язык: английский
Формат: pdf (true)
Размер: 10,17 MB

This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases.