Название: Знакомство с программированием на языке Processing
Автор: Риас К., Фрай Б.
Издательство: ДMK
Год: 2021
Cтраниц: 196
Формат: pdf
Размер: 15 мб
Язык: русский

Изучите компьютерное программирование с помощью Processing – простого языка, предназначенного для создания рисунков, анимации и интерактивной графики. Курсы программирования обычно начинаются с теории, но эта книга сразу же переходит к творческим и занимательным проектам. Она идеально подходит для всех, кто хочет научиться программировать, и служит простым введением в компьютерную графику для людей, которые уже имеют некоторые навыки программирования.

Название: Principles of Big Graph: In-depth Insight
Автор: Ripon Patgiri, Ganesh Chandra Deka, Anupam Biswas
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 460
Язык: английский
Формат: pdf (true), epub
Размер: 43.6 MB

Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph. Big Graph is an emerging research field that is gaining enormous popularity among academicians, industrialists, and practitioners. The Big Graph is applied in research areas such as bioinformatics, social systems administration, computer networking, complex networks, and data streaming. Big Graph technology is also used for biological networks, scholar article citation networks, protein–protein interaction, and semantic networks.

Название: Data Science, Analytics and Machine Learning with R
Автор: Luiz Paulo Favero, Patrícia Belfiore, Rafael de Freitas Souza
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 662
Язык: английский
Формат: epub (true)
Размер: 155.1 MB

Data Science, Analytics and Machine Learning with R explains the principles of data mining and Machine Learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. Presents a comprehensive and practical overview of Machine Learning, data mining and AI techniques for a broad multidisciplinary audience Serves readers who are interested in statistics, analytics and modeling, and those who wish to deepen their knowledge in programming through the use of R. Teaches readers how to apply machine learning techniques to a wide range of data and subject areas Presents data in a graphically appealing way, promoting greater information transparency and interactive learning.

Название: Troubleshooting Java: Read, debug, and optimize JVM applications (Final Release)
Автор: Laurentiu Spilca
Издательство: Manning Publications
Год: 2023
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 33.9 MB

Effectively reading and understanding existing code is a developer’s superpower. In this book, you’ll master techniques for code profiling, advanced debugging, and log evaluation to find and fix bugs and performance problems. Troubleshooting Java: Read, debug, and optimize JVM applications teaches code investigation techniques that will help you understand how Java apps work, optimize them, and fix the bugs that break them. You’ll go from the basics of debugging to advanced methods for locating problems in microservices architectures. Each new technique is explained with lively illustrations and engaging real-world examples. In this unique guide, you’ll learn techniques like resolving deadlocks by examining thread dumps and locating memory leaks by inspecting the heap that will radically improve your efficiency when working with existing code in JVM languages like Java, Scala, and Kotlin.

Название: ATDD – Разработка программного обеспечения через приемочные тесты
Автор: М. Гэртнер
Издательство: ДMK
Год: 2013
Страниц: 231
Формат: pdf/djvu
Размер: 26 Mb
Язык: Русский

Применяя методику разработки через приемочные тесты (ATDD), заказчики, разработчики и тестировщики получают возможность совместно сформулировать тестопригодные требования, что позволяет создавать высококачественное программное обеспечение в сжатые сроки. Однако на практике многие не понимают, в чем истинный смысл ATDD. Настоящая книга – первое практическое руководство начального уровня по внедрению и успешному применению этой методики.

Название: Build Your Own Redis with C/C++: Learn network programming and data structures
Автор: James Smith
Издательство: Leanpub
Год: 2023-01-31
Страниц: 105
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

Learn network programming and data structures by building a Redis-like server from scratch with C/C++. This book contains a step-by-step walkthrough of a simple implementation of a Redis-like server. It is intended as a practical guide or tutorial to network programming and the implementation and application of basic data structures in C. Redis could be considered one of the building blocks of modern computing that stood the test of time. The knowledge required for building such a project is broader and deeper than usual application-level development. Learning from such projects is a good way for software developers to level up their skills. Redis is a good target for learning because it covers two important subjects of software engineering: network programming and data structures.

Название: Flutter Flame: Game Development - Your guide to creating cross-platform games in 2D using the Flame engine in Flutter 3
Автор: Andres Cruz Yoris
Издательство: Independently published
Год: 2023-01-21
Страниц: 191
Язык: английский
Формат: pdf (true), epub
Размер: 26.2 MB

This book is for anyone who wants to learn how to develop on Flame and create the first 2D games with cross-platform Flutter. With Flutter, we can make all kinds of applications, especially focused on the mobile field, but we can also use the same project to develop not only on Android and iOS, but also on desktops for Linux, MacOS and Windows, and also for web development. making subtle changes to the project at the code level. Although, Flutter goes much further with Flame. Flame is an engine for creating 2D games with Flutter; Its installation is extremely simple since Flame is nothing more than a pub package; thus, with this, we can create 2D games with Flame for mobile, desktop and web.

Название: ChatGPT for Marketing Pros: Streamlining Daily Tasks
Автор: ENAI
Издательство: Reedsy
Год: 2023
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

Get ready to explore a world of incredible possibilities with ChatGTP, the revolutionary text-generating AI tool! With ChatGTP, you can ask almost any question and get an accurate, informative answer in seconds. It can generate code snippets, explain complex concepts, and even write entire books based on a single prompt. ChatGPT, developed by OpenAI, is a language model that has revolutionized the way we approach natural language processing (NLP) tasks. It utilizes Deep Learning (DL) algorithms to generate human-like responses to a given prompt. This technology has been designed to understand, generate and converse in natural language, making it an indispensable tool for a wide range of applications. ChatGPT has been trained on vast amounts of data, allowing it to produce highly accurate and relevant responses to any input. Whether you’re looking for a quick answer to a question, help with generating content, or need to automate routine tasks, ChatGPT is an excellent tool to have in your arsenal.

Название: Domain-Specific Languages: Effective Modeling, Automation, and Reuse
Автор: Andrzej Wasowski, Thorsten Berger
Издательство: Springer
Год: 2023
Страниц: 494
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

This textbook describes the theory and the pragmatics of using and engineering high-level software languages – also known as modeling or domain-specific languages (DSLs) – for creating quality software. This includes methods, design patterns, guidelines, and testing practices for defining the syntax and the semantics of languages. While remaining close to technology, the book covers multiple paradigms and solutions, avoiding a particular technological silo. It unifies the modeling, the object-oriented, and the functional-programming perspectives on DSLs. The book has 13 chapters. Chapters 1 and 2 introduce and motivate DSLs. Chapter 3 kicks off the DSL engineering lifecycle, describing how to systematically develop abstract syntax by analyzing a domain. Chapter 4 addresses the concrete syntax, including the systematic engineering of context-free grammars. Chapters 5 and 6 cover the static semantics – with basic constraints as a starting point and type systems for advanced DSLs. Chapters 7 (Transformation), 8 (Interpretation), and 9 (Generation) describe different paradigms for designing and implementing the dynamic semantics, while covering testing and other kinds of quality assurance. Chapter 10 is devoted to internal DSLs. Chapters 11 to 13 show the application of DSLs and engage with simpler alternatives to DSLs in a highly distinguished domain: software variability. These chapters introduce the underlying notions of software product lines and feature modeling.

Название: Elements of Dimensionality Reduction and Manifold Learning
Автор: Benyamin Ghojogh, Mark Crowley, Fakhri Karray
Издательство: Springer
Год: 2023
Страниц: 617
Язык: английский
Формат: pdf (true), epub
Размер: 36.06 MB

Dimensionality reduction, also known as Manifold Learning, is an area of Machine Learning used for extracting informative features from data for better representation of data or separation between classes. With the explosion of interest and advances in Machine Learning (ML), there has been a corresponding increased need for educational and reference books to explain various aspects of Machine Learning. However, there has not been a comprehensive text tackling the various methods in dimensionality reduction, Manifold Learning, and feature extraction that integrate with modern Machine Learning theory and practice. This book presents a cohesive review of linear and nonlinear dimensionality reduction and Manifold Learning. Three main aspects of dimensionality reduction are covered—spectral dimensionality reduction, probabilistic dimensionality reduction, and neural network-based dimensionality reduction—which have geometric, probabilistic, and information-theoretic points of view to dimensionality reduction, respectively. The necessary background and preliminaries on linear algebra, optimization, and kernels are also highlighted to ensure a comprehensive understanding of the algorithms. The tools introduced in this book can be applied to various applications involving feature extraction, image processing, Computer Vision, and signal processing.