Litgu.ru - Литературный Гуру

Название: Azure Maps Using Blazor Succinctly
Автор: Michael Washington
Издательство: Syncfusion
Год: 2022
Страниц: 92
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Microsoft Azure Maps is part of Microsoft Azure Cloud Services and provides a wide range of powerful geospatial capabilities and a rich set of REST APIs. It has SDKs for both web and mobile applications. In Azure Maps Using Blazor Succinctly, learn how you can create sophisticated applications with Azure Maps and Syncfusion controls in Blazor. Michael Washington will introduce you to the capabilities of Azure Maps and then take you through the steps of building a Blazor store application featuring it.

Название: MATLAB Coder User’s Guide (R2022b)
Автор: The MathWorks
Издательство: The MathWorks, Inc.
Год: 2022
Страниц: 1475
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

MATLAB Coder generates C and C++ code from MATLAB code for a variety of hardware platforms, from desktop systems to embedded hardware. It supports most of the MATLAB language and a wide range of toolboxes. You can integrate the generated code into your projects as source code, static libraries, or dynamic libraries. The generated code is readable and portable. You can combine it with key parts of your existing C and C++ code and libraries. You can also package the generated code as a MEX-function for use in MATLAB.

Название: MATLAB Coder Reference 2022 (R2022b)
Автор: The MathWorks
Издательство: The MathWorks, Inc.
Год: 2022
Страниц: 850
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

MATLAB Coder Reference. The MATLAB Coder app generates C or C++ code from MATLAB code. You can generate: C or C++ source code, static libraries, dynamically linked libraries, and executables that you can integrate into existing C or C++ applications outside of MATLAB; MEX functions for accelerated versions of your MATLAB functions.

Название: Git: Project Management for Developers and DevOps
Автор: Bernd Oggl, Michael Kofler
Издательство: Rheinwerk Publishing
Год: 2023
Страниц: 415
Язык: английский
Формат: epub (true)
Размер: 10.08 MB

Get started with Git―today! Walk through installation and explore the variety of development environments available. Understand the concepts that underpin Git’s workflows, from branching to commits, and see how to use major platforms, like GitHub. Learn the ins and outs of working with Git for day-to-day development. Get your versioning under control!

Название: Java: The Comprehensive Guide to Java Programming for Professionals
Автор: Christian Ullenboom
Издательство: Rheinwerk Publishing/SAP Press
Год: 2023
Страниц: 1258
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This is the up-to-date, practical guide to Java you’ve been looking for! Whether you’re a beginner, you’re switching to Java from another language, or you’re just looking to brush up on your Java skills, this is the only book you need. You’ll get a thorough grounding in the basics of the Java language, including classes, objects, arrays, strings, and exceptions. You'll also learn about more advanced topics: threads, algorithms, XML, JUnit testing, and much more. This book belongs on every Java programmer's shelf.

Название: Algebraic Structures in Natural Language
Автор: Shalom Lappin,
Издательство: CRC Press
Год: 2023
Страниц: 309
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to question the role of algebraic models in the study of human language acquisition and linguistic representation. Psychologists and cognitive scientists have also been exploring explanations of language evolution and language acquisition that rely on probabilistic methods, social interaction and information theory, rather than on formal models of grammar induction.

Название: Linux Coding Tricks and Tips - 12th Edition, 2022
Автор: Papercut
Издательство: Papercut Ltd
Год: 2022
Язык: английский
Формат: pdf
Размер: 53,2 MB

"Трюки и советы по программированию в Linux" (Linux Coding Tricks and Tips) - это идеальное руководство для пользователей, которые хотят поднять свой набор навыков на новый уровень. Вы хотите улучшить свой пользовательский опыт? Или хотите получить инсайдерские знания? Вы хотите учиться непосредственно у экспертов в своей области? Узнать многочисленные короткие пути, которые используют профессионалы? На страницах нового руководства для продвинутых пользователей вы узнаете все, что вам нужно знать, чтобы стать более уверенным, умелым и опытным в программировании. Пользователем, который будет извлекать максимальную пользу при использовании программирования и, в конечном счете, из самого Linux. Достижение, которое вы можете заслужить, просто позволив нам исключительно помогать и обучать вас тем способностям, которые мы приобрели за десятилетия нашего опыта. Python - это фантастический язык программирования, сочетающий в себе простоту использования с щедрой порцией мощности, позволяющей пользователю создавать как небольшие утилиты, так и вычислительные задачи, требующие высокой производительности.

Название: C++ & Python Tricks And Tips - 12th Edition, 2022
Автор: Papercut
Издательство: Papercut Ltd
Год: 2022
Страниц: 79
Язык: английский
Формат: pdf
Размер: 44.7 MB

C++ & Python Tricks and Tips is the first and only choice if you are new adopter and want to learn everything you’ll need to get started with coding and programming. This independent manual is crammed with helpful guides and step-by-step fully illustrated tutorials, written in plain easy to follow English. Over the pages of this new user guide you will clearly learn all you need to know about coding your own amazing apps. With this unofficial instruction manual at your side no problem will be unsolvable, no question unanswered as you learn, explore and enhance your programming skills.

Название: Hands-On Python ADVANCED: with 52 Exercises, 3 Projects, 3 Assignments & Final Exam
Автор: Musa Arda
Издательство: Independently published
Год: 2022
Страниц: 756
Язык: английский
Формат: epub, mobi
Размер: 10.2 MB

This book is an in-depth and activity-based introduction to the advanced level topics of Python programming. It follows a step-by-step practical approach by combining the theory of the language with the hands-on coding exercises including quizzes, projects, assignments and exams. We begin by introducing the Collections module in Python. Then we cover Iterators, Generators, Date and Time Operations, Decorators and Context Managers in Python. We move on with Functional Programming in Python and we have our first project which is about sending emails using Python. Then we learn Regular Expressions, Database Operations and Concurrency in Python. After these topics, we build two projects. The second project in this book is Web Scraping with Python and Scrapy. And the third project is Developing Web APIs with Flask. After each project, you have an assignment to complete. And finally, we have the Final Exam.

Название: Advances in Graph Neural Networks
Автор: Chuan Shi, Xiao Wang, Cheng Yang
Издательство: Springer
Год: 2023
Страниц: 207
Язык: английский
Формат: pdf (true), epub
Размер: 31.2 MB

This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. With the great success of Machine Learning and Deep Learning techniques, how to numerically represent a graph has become a fundamental problem in network analysis. In particular, graph representation learning, which aims to encode each node in a network into a low-dimensional vector, has attracted much attention during the last decade. More recently, representation learning methods based on graph neural networks (GNNs) show their superiority on various graph-based applications, and become the state-of-the-art paradigm for graph representation learning.