Название: C++ Software Design: Design Principles and Patterns for High-Quality Software (Third Early Release)
Автор: Klaus Iglberger
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Страниц: 196
Язык: английский
Формат: pdf, epub
Размер: 10.3 MB

Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language.

Название: Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud, 2nd Edition (Fourth Early Release)
Автор: Justin Domingus, John Arundel
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Страниц: 440
Язык: английский
Формат: pdf, epub
Размер: 15.2 MB

Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show your development and operations staff what Kubernetes can do--and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems using tools currently in use in the software industry. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, with patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles.

Название: Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis
Автор: Maurits Kaptein, Edwin van den Heuvel
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2022
Страниц: 341
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for Data Science.

Название: Getting the Most out of Node.js Frameworks: The Essential Tools and Libraries
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2022
Страниц: 189
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Gain the knowledge you need to navigate your way confidently through the ever-expanding landscape of modern jаvascript technologies. With over one hundred Node.js frameworks available and the number rising every month, it is becoming increasingly difficult to avoid jаvascript fatigue and keep abreast of the developments that are most useful and relevant to your own projects. In such a saturated environment, the knowledge of exactly which tools will best fit your goals is invaluable. This book will guide you through the quagmire by clearly and comprehensively outlining the most practically useful Node frameworks, libraries and tools, and how they might be employed in your own projects. You will learn about jаvascript frameworks such as Polymer, Webix, Aurelia, Svelte, Meteor, and many, many more.

Название: Fast Python for Data Science (MEAP) V8
Автор: Tiago Rodriques Antao
Издательство: Manning Publications
Год: 2022 V8
Формат: PDF
Страниц: 273
Размер: 23,4 Mb
Язык: English

Master these effective techniques to reduce costs and run times, handle huge datasets, and implement complex machine learning applications efficiently in Python.
Fast Python for Data Science is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy.

Название: 3D Game Development with Unity
Автор: Franz Lanzinger
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 415
Размер: 60,5 Mb
Язык: English

This book teaches beginners and aspiring game developers how to develop 3D games with Unity. Thousands of commercial games have been built with Unity. This book combines a practical, step-by-step approach with explanations of the underlying theory that are reinforced with hundreds of screenshots and several larger projects.

Название: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python (Early Release)
Автор: Mike X Cohen
Издательство: O’Reilly Media, Inc.
Год: 2022-01-28
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.

Название: Heterogeneous Graph Representation Learning and Applications
Автор: Chuan Shi, Xiao Wang, Philip S. Yu
Издательство: Springer
Серия: Artificial Intelligence: Foundations, Theory, and Algorithms
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf (true), epub
Размер: 33.7 MB

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of Computer Science, Data Mining and Machine Learning.

Название: CLR via C#. Программирование на платформе Microsoft.NET Framework 4.5 на языке C#
Автор: Дж. Рихтер
Год издания: 2013 - 4-е изд.
Издательство: Питер
Страниц: 896
Формат: PDF
Размер: 28 мб

Эта книга, выходящая в четвертом издании и уже ставшая классическим учебником по программированию, подробно описывает внутреннее устройство и функционирование общеязыковой исполняющей среды (CLR) Microsoft .NET Framework версии 4.5. Написанная признанным экспертом в области программирования Джеффри Рихтером, много лет являющимся консультантом команды разработчиков .NET Framework компании Microsoft, книга научит вас создавать по-настоящему надежные приложения любого вида, в том числе с использованием Microsoft Silverlight, ASP.NET, Windows Presentation Foundation и т.д.

Название: Visual Inference for IoT Systems: A Practical Approach
Автор: Delia Velasco-Montero, Jorge Fernandez-Berni
Издательство: Springer
Год: 2022
Страниц: 171
Язык: английский
Формат: pdf (true), epub
Размер: 34.1 MB

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. All the contents revolve around the state-of-the-art computer vision paradigm, i.e., DL. These days, accurate, but computationally heavy, neural networks are employed for a variety of tasks. The strong processing and memory requirements of such networks come into conflict with the limited availability of resources in IoT devices. Meanwhile, a great deal of technological components has been released to support DL deployments. Each of these components claims advantages in terms of performance, system integration, energy consumption, etc. The book provides tools to navigate this complex scenario in an effective manner.