Название: jаvascript for Web Developers: Understanding the Basics
Автор: Mark Simon
Издательство: Apress
Год: 2023
Страниц: 406
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Learn the basics of jаvascript to enhance your web pages. This book focuses on modern jаvascript programming and encourages a well-organized approach to programming in general. jаvascript for Web Developers explains each foundational concept of the language, followed by a practical implementation of that lesson to reinforce what you’ve learned. Author Mark Simon starts with the basics of jаvascript programming, followed by a tutorial on manipulating HTML elements. You will then learn to work with forms, along with CSS and Event Listeners. Hands-on projects will not only solidify each concept in your mind, but they will also give you greater confidence and help you absorb best practices. The book concludes with coverage of Ajax, which will enable you to send and retrieve data from a server asynchronously without interfering with the display and behavior of an existing web page. After reading this book, you will be able to use jаvascript to design and program your own web applications.

Название: Options and Derivatives Programming in C++23: Algorithms and Programming Techniques for the Financial Industry, 3rd Edition
Автор: Carlos Oliveira
Издательство: Apress
Год: 2023
Страниц: 312
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book is a hands-on guide for programmers who want to learn how C++ is used to develop solutions for options and derivatives trading in the financial industry. It explores the main algorithms and programming techniques used in implementing systems and solutions for trading options and derivatives. This updated edition will bring forward new advances in C++ software language and libraries, with a particular focus on the new C++23 standard. The book starts by covering C++ language features that are frequently used to write financial software for options and derivatives. These features include the STL (standard template library), generic templates, functional programming, and support for numerical code. Examples include additional support for lambda functions with simplified syntax, improvements in automatic type detection for templates, custom literals, modules, constant expressions, and improved initialization strategies for C++ objects.

Название: Fundamentals of Trace and Log Analysis: A Pattern-Oriented Approach to Monitoring, Diagnostics, and Debugging
Автор: Dmitry Vostokov
Издательство: Apress
Год: 2023
Страниц: 151
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book will help you analyze traces and logs from different software environments and communicate analysis results using a pattern language that covers everything from a small debugging log to a distributed trace with billions of messages from hundreds of computers, thousands of software components, threads, and processes. The book begins with the basic terminology of operating systems and programming, the foundation for understanding trace and log analysis. It then talks about patterns that help describe problems from a user’s view and patterns for errors and failures. Then, the book covers a range of trace patterns that group messages, and explores how logs depict software activities. It even examines specific message patterns and how they connect in a single trace. Moving forward, you’ll review patterns for multiple traces and logs and how to evaluate them. In this way, you can use similar methods to find problems across a wide variety of software. The book also provides guidance for analyzing issues on systems such as Windows, macOS, Linux, Android, iOS, and other types of computers, including those in networks and the Internet of Things, regardless of their system differences.

Название: Salesforce Field Service: A Beginner's Guide to Creating, Managing, and Automating Field Service
Автор: Saiteja Chatrati
Издательство: Apress
Год: 2023
Страниц: 273
Язык: английский
Формат: pdf
Размер: 10,1 MB

Salesforce Field Service (formerly Field Service Lightning) connects customers, workforce, and products on a single platform to deliver exceptional on-site services. This book guides Field Service enthusiasts in creating, managing, and automating support with use cases and real-time examples. You will learn Salesforce Field Service which will help you better manage your customers, internal users, and field technicians. As you advance, you’ll learn the whole end-to-end life cycle of creating work orders, associating service appointments to work orders, scheduling and dispatching service appointments to field technicians, and completing the work orders. By the end of this book, you’ll be able to implement, test and deploy Salesforce Field Service for both Desktop and Mobile apps. This book is for Salesforce admins, developers, and consultants who are looking to learn and implement Salesforce Field Service.

Название: API Development Using ASP.Net Core Web API: A practical approach for developing the APIS in ASP.Net Core
Автор: Sardar Mudassar Ali Khan
Издательство: C# Corner
Год: 2023
Страниц: 161
Язык: английский
Формат: pdf (true)
Размер: 16.2 MB

API Development Using ASP.Net Core Web API in this book we adopted a practical approach for the development of software products. This book is divided into four parts every part has its dimension. This book will explain the fully featured projects and how we can architect the application using the following architectures.

Название: Бейсик в задачах и примерах
Автор: Сафронов И.К.
Издательство: СПб.: БXB-Пeтepбуpг
Год: 2006 - 2-е изд., перераб. и дополн.
Cтраниц: 320
Формат: pdf
Размер: 13 мб
Язык: русский

В сборнике содержатся разработанные автором задачи и примеры для освоения ключевых понятий программирования с использованием языка Бейсик. В занимательной и доступной форме осваиваются виды алгоритмов, переменные, операторы, массивы, подпрограммы. Большое внимание уделяется наиболее популярной среди школьников теме графики. Второе издание книги обусловлено не спадающим читательским интересом, дополнено 150-ю новыми задачами, примерами удивительных и увлекательных игр и программ.

Название: Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia
Автор: Carlo Requiao da Cunha
Издательство: CRC Press
Год: 2024
Страниц: 289
Язык: английский
Формат: pdf (true)
Размер: 20.5 MB

Machine Learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards Computer Science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of Machine Learning and look ahead to applications and advancements in their fields. This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in Machine Learning for those from the physical sciences, without a formal background in Computer Science. The main goal was to translate many Machine Learning algorithms into a language that physicists can understand and use. To achieve this goal, a combination of discussions, mathematical formalism, and coding was used. The language chosen for the codes was Julia.

Название: Программирование на C# для начинающих. Основные сведения
Автор(ы): Васильев Алексей
Издательство: Эксмо
Год: 2023
Страниц: 586
Формат: PDF
Размер: 15 Мб
Язык: русский

Первая часть самоучителя по C#, написанного известным российским автором учебников по программированию Алексеем Васильевым. В этой книге автор приглашает читателей ознакомиться с основами языка C#. Прочитав ее, вы узнаете историю языка, его структуру, ознакомитесь с типами данных и переменными, операторами, циклами и множеством другой полезной информации, необходимой для работы с этим языком.

Название: An Introduction to Optimization with Applications in Machine Learning and Data Analytics
Автор: Jeffrey Paul Wheeler
Издательство: CRC Press
Год: 2024
Страниц: 475
Язык: английский
Формат: pdf (true)
Размер: 22.4 MB

The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering, Computer Science, economics, statistics, and business. Optimization reaches into many different fields. Many of the problems rely on using a computer. Microsoft’s Excel is most often used, as this is common in business, but Python and other languages are considered. The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB or Mathematica, and the computer science students to write their own programs in Java or Python.

Название: Computational Intelligence Applications for Text and Sentiment Data Analysis
Автор: Dipankar Das, Anup Kumar Kolya, Abhishek Basu, Soham Sarkar
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 266
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data. The book investigates a wide range of challenges involved in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of ‘neutral’ or ‘factual’ comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored. Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.