Название: Learn Enough Developer Tools to Be Dangerous: Command Line, Text Editor, and Git Version Control Essentials
Автор: Michael Hartl
Издательство: Pearson
Год: 2022
Формат: ePUB
Страниц: 368
Размер: 35,8 Mb
Язык: English

All You Need to Know, and Nothing You Don't, About Core Tools for Software Development
Three of the core tools needed for modern software development are the Unix command line, a text editor, and version control with Git. But you don't need to learn "everything" about them, just how to use them efficiently to solve real problems. In Learn Enough Developer Tools to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need so you can learn to write apps, get hired, collaborate, and maybe even launch your own company.

Название: UML Diagramming: A Case Study Approach
Автор: Dr. Suriya Sundaramoorthy
Издательство: CRC Press
Год: 2022
Страниц: 431
Размер: 55,87 МБ
Формат: PDF
Язык: English

The Unified Modeling Language, better known as UML, has become the de facto standard modeling language for analyzing and designing software applications and systems. Software analysis and design is just as much an art as it is a science. UML Diagramming: A Catalog of Cases shows the art and the science behind successful software analysis and design with more than 35 case studies of applications of a variety of industries, including:

Название: Optimization Modelling Using R
Автор: Timothy R. Anderson
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 299
Размер: 10 Mb
Язык: English

This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an algebraic implementation in R.

Название: Математические методы
Автор: Партыка Т.Л., Попов И.И.
Издательство: М.: ФОРУМ: ИНФРА-М
Год: 2007 - 2-е изд., исправл. и дополн.
Cтраниц: 464
Формат: pdf
Размер: 39 мб
Язык: русский

Рассматриваются прикладные математические методы и модели, в том числе методы математического программирования (поиск экстремума, линейное и динамическое программирование), многосвязные системы и стратегические игры, методы принятия коллективных решений, системы массового обслуживания, теоретико-графовые методы и модели, методы прогнозирования и макромоделирования.

Название: Information Fusion: Machine Learning Methods
Автор: Jinxing Li, Bob Zhang, David Zhang
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 283
Размер: 10 Mb
Язык: English

In the big data era, increasing information can be extracted from the same source object or scene. For instance, a person can be verified based on their fingerprint, palm print, or iris information, and a given image can be represented by various types of features, including its texture, color, shape, etc. These multiple types of data extracted from a single object are called multi-view, multi-modal or multi-feature data. Many works have demonstrated that the utilization of all available information at multiple abstraction levels (measurements, features, decisions) helps to obtain more complex, reliable and accurate information and to maximize performance in a range of applications.

Название: Kernel Methods for Machine Learning with Math and R
Автор: Joe Suzuki
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 203
Размер: 10 Mb
Язык: English

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience. This textbook addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building R programs.

Название: Масштабируемый рефакторинг. Возвращаем контроль над кодом
Автор: Лемер М
Издательство: Питep
Год: 2022
Формат: True PDF, ePUB
Страниц: 256
Размер: 10,8 Mb
Язык: Русский

Поддерживать большие приложения сложно, а поддержка больших «неорганизованных» приложений превращается в непосильную задачу. Пришло время сделать паузу и задуматься о рефакторинге! Внесение значительных изменений в крупную и сложную кодовую базу — нетривиальная задача, которую практически невозможно успешно выполнить без рабочей команды, инструментов и планирования. Мод Лемер раскрывает все тайны рефакторинга на примере двух исследований. Вы научитесь эффективно вносить важные изменения в кодовую базу, узнаете, как деградирует код и почему иногда это неизбежно.

Название: Introduction to Software Design with Java, 2nd Edition
Автор: Martin P. Robillard
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 306
Размер: 10 Mb
Язык: English

This textbook provides an in-depth introduction to software design, with a focus on object-oriented design, and using the Java programming language. Its goal is to help readers learn software design by discovering the experience of the design process. To this end, the text follows a continuous narrative that introduces each element of design know-how in context, and explores alternative solutions in that context. This narrative is complemented by hundreds of code fragments and design diagrams.

Название: Fluent C
Автор: Christopher Preschern
Издательство: O’Reilly Media
Год: 2022-05-02: First Release
Формат: ePUB
Размер: 10 Mb
Язык: English

Expert advice on C programming is hard to find. While much help is available for object-oriented programming languages, there's surprisingly little for the C language. With this hands-on guide, beginners and experienced C programmers alike will find guidance about design decisions, including how to apply them bit by bit to running code examples when building large-scale programs.

Название: Introduction to Algorithms 4th Edition
Автор: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
Издательство: The MIT Press
Год: 2022
Формат: True PDF
Страниц: 1677
Размер: 22,2 Mb
Язык: English

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.