Web Programming with HTML5, CSS, and JavaScript

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Web Programming with HTML5, CSS, and JavaScript
Web Programming with HTML5, CSS, and JavaScript
By 作者: John Dean
ISBN-10 书号: 1284091791
ISBN-13 书号: 9781284091793
Edition 版本: Pap/Psc
Release Finelybook 出版日期: 2018-01-23
pages 页数: (678 )

$135.95

Book Description to Finelybook sorting

Web Programming with HTML 5, CSS, and JavaScript is written for the undergraduate, client-side web programming course. It covers the three client-side technologies (HTML5, CSS, and JavaScript) in depth, with no dependence on server-side technologies. One of the distinguishing features of this new text is its coverage of canvas, one of the most important new features of HTML5.
Topics are presented in a logical, comprehensive manner and code is presented in both short code fragments and complete web pages, allowing readers to grasp concepts quickly and then apply the concepts in the context of a complete web page. Each chapter concludes with an optional case study, which builds upon itself to create a sophisticated website. The case studies allow students to apply what they have learned and gives them a feel for the real-world design process
Contents
Preface
Acknowledgments
About the Author
1Introduction to Web Programming
2 Coding Standards,Block Elements,Text Elements,and Character References
3Cascading Style Sheets(CSS)
4Organizing a Page’s Content with Lists,Figures,and Various Organizational Elements
5Tables and CSS Layout
6Links and lmages
7 lmage Manipulations,Audio,and Video
8Introduction to JavaScript:Functions,DOM,Forms,and Event Handlers
9Additional JavaScript Basics:window Object,if Statement,Strings,Numbers,and Input Validation
10Loops,Additional Controls,Manipulating CSS with JavaScript
11Object-Oriented Programming and Arrays
12 Canvas
Appendix A HTML5 and CSS Coding-Style Conventions
Appendix B JavaScript Coding-Style Conventions
Review Question Solutions
Index


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Learning React: Functional Web Development with React and Redux

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Learning React: Functional Web Development with React and Redux
Learning React: Functional Web Development with React and Redux
by Alex Banks (Author), Eve Porcello (Author)
Paperback: 350 pages
Publisher Finelybook 出版社: O’Reilly Media; 1 edition (May 22, 2017)
Language: English
ISBN-10: 1491954620
ISBN-13: 9781491954621
Interested in React but find yourself confused about how to use it with the Flux architecture? This is your book. Authors Alex Banks and Eve Porcello show you how to build React applications with the entire React ecosystem—including Flux. You’ll learn about the methodologies behind the creation of the library and its related tools through short interviews with key players in the React community.
Learning React is ideal for web developers and software engineers who understand how JavaScript, CSS, and HTML work in the browser, but have no prior understanding of React, functional JavaScript, Flux, or even advanced JavaScript. This book covers both ES5 or ES6 syntax commonly used with React.
Alex Banks and Eve Porcello are experienced software engineers, corporate trainers, and Lynda.com authors.
Contents
Chapter 1. Welcome to React
Chapter 2. Emerging JavaScript
Chapter 3. Functional Programming with JavaScript
Chapter 4. Pure React
Chapter 5. React with JSX
Chapter 6. Props, State, and the Component Tree
Chapter 7. Enhancing Components
Chapter 8. Redux
Chapter 9. React Redux
Chapter 10. Testing
Chapter 11. React Router
Chapter 12. React and the Server
感兴趣的反应,但发现自己困惑如何使用它与Flux架构?这是你的书。作者Alex Banks和Eve Porcello向您展示了如何使用整个React生态系统(包括Flux)构建React应用程序。您将通过对React社区中的主要参与者进行简短访谈,了解图书馆及其相关工具创建背后的方法。
了解如何使用JavaScript,CSS和HTML在浏览器中工作的Web开发人员和软件工程师非常理想,但对React,功能JavaScript,Flux或甚至高级JavaScript没有任何理解。本书涵盖了React中常用的ES5或ES6语法。
Alex Banks和Eve Porcello是经验丰富的软件工程师,公司培训师和Lynda.com的作者。
目录
第一章欢迎来到React
第二章新兴的JavaScript
第3章使用JavaScript进行功能编程
第4章纯粹的反应
第五章与JSX的联系
道具,状态和组件树
第七章增强组件
第8章Redux
第9章React Redux
第10章测试
第11章反应路由器
第12章反应和服务器

A Course on Mathematical Logic, 2nd Edition

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A Course on Mathematical Logic, 2nd Edition
A Course on Mathematical Logic (Universitext)
By 作者: Shashi Mohan Mohan Srivastava
ISBN-10 书号: 1461457459
ISBN-13 书号: 9781461457459
Edition 版本: 2nd ed. 2013
Release Finelybook 出版日期: 2013-01-15
pages 页数: (212 )

$74.99

Book Description to Finelybook sorting

This is a short, modern, and motivated introduction to mathematical logic for upper undergraduate and beginning graduate students in mathematics and computer science. Any mathematician who is interested in getting acquainted with logic and would like to learn Gödel’s incompleteness theorems should find this book particularly useful. The treatment is thoroughly mathematical and prepares students to branch out in several areas of mathematics related to foundations and computability, such as logic, axiomatic set theory, model theory, recursion theory, and computability.
In this new edition, many small and large changes have been made throughout the text. The main purpose of this new edition is to provide a healthy first introduction to model theory, which is a very important branch of logic. Topics in the new chapter include ultraproduct of models, elimination of quantifiers, types, applications of types to model theory, and applications to algebra, number theory and geometry. Some proofs, such as the proof of the very important completeness theorem, have been completely rewritten in a more clear and concise manner. The new edition also introduces new topics, such as the notion of elementary class of structures, elementary diagrams, partial elementary maps, homogeneous structures, definability, and many more.
Frontmatter
1.Syntax of First-Order Logic
2.Semantics of First-Order Languages
3.Propositional Logic
4.Completeness Theorem for First-Order Logic
5.Model Theory
6.Recursive Functions and Arithmetization of Theories
7.Representability and Incompleteness Theorems
Backmatter

Data Simplification Taming Information With Open Source Tools

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Data Simplification Taming Information With Open Source Tools
Data Simplification: Taming Information With Open Source Tools
By 作者: Jules J. Berman
ISBN-10 书号: 0128037814
ISBN-13 书号: 9780128037812
Edition 版本: 1
Release Finelybook 出版日期: 2016-03-30
pages 页数: (398 )

$59.95

Book Description to Finelybook sorting

Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools.
This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data.
Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user.

Discusses data simplification principles, methods, and tools that must be studied and mastered
Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data
Explains how to best utilize indexes to search, retrieve, and analyze textual data
Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods


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Fundamentals of Mobile Data Networks

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Fundamentals of Mobile Data Networks
Fundamentals of Mobile Data Networks
By 作者: Guowang Miao – Jens Zander – Ki Won Sung – Slimane Ben Slimane
ISBN-10 书号: 1107143217
ISBN-13 书号: 9781107143210
Edition 版本: 1
Release Finelybook 出版日期: 2016-04-05
pages 页数: (322 )

$93.99

Book Description to Finelybook sorting

This unique text provides a comprehensive and systematic introduction to the theory and practice of mobile data networks. Covering basic design principles as well as analytical tools for network performance evaluation, and with a focus on system-level resource management, you will learn how state-of-the-art network design can enable you flexibly and efficiently to manage and trade-off various resources such as spectrum, energy, and infrastructure investments. Topics covered range from traditional elements such as medium access, cell deployment, capacity, handover, and interference management, to more recent cutting-edge topics such as heterogeneous networks, energy and cost-efficient network design, and a detailed introduction to LTE (4G). Numerous worked examples and exercises illustrate the key theoretical concepts and help you put your knowledge into practice, making this an essential resource whether you are a student, researcher, or practicing engineer.

Contents


Preface
Acronyms
Notations
1 Introduction
2 Wireless network models
3 Medium access control
4Scheduling
5Principles of cellular systems
6Transmitter power control
7 Interference management
8 Association and handover
9 Energy-efficient design
10 Long term evolution
11 Wireless infrastructure economics
About the authors
Index

Nature-Inspired Computation in Data Mining and Machine Learning

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Nature-Inspired Computation in Data Mining and Machine Learning
Nature-Inspired Computation in Data Mining and Machine Learning (Studies in Computational Intelligence)
By 作者: Xin-She Yang
ISBN-10 书号: 3030285529
ISBN-13 书号: 9783030285524
Edition 版本: 1st ed. 2020
Release Finelybook 出版日期: 2019-09-03
pages 页数: (273 )

$179.99

Book Description to Finelybook sorting

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details.
Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

Recent Metaheuristics Algorithms for Parameter Identification

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Recent Metaheuristics Algorithms for Parameter Identification
Recent Metaheuristics Algorithms for Parameter Identification (Studies in Computational Intelligence)
By 作者: Erik Cuevas – Jorge Gálvez – Omar Avalos
ISBN-10 书号: 3030289168
ISBN-13 书号: 9783030289164
Edition 版本: 1st ed. 2020
Release Finelybook 出版日期: 2019-09-03
pages 页数: (297 )

$169.99

Book Description to Finelybook sorting

This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks.

RIoT Control: Understanding and Managing Risks and the Internet of Things

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RIoT Control: Understanding and Managing Risks and the Internet of Things
RIoT Control: Understanding and Managing Risks and the Internet of Things
By 作者: Tyson Macaulay
ISBN-10 书号: 0124199712
ISBN-13 书号: 9780124199712
Edition 版本: 1
Release Finelybook 出版日期: 2016-09-30
pages 页数: (404 )

$59.95

Book Description to Finelybook sorting

RIoT Control: Understanding and Managing Risks and the Internet of Things explains IoT risk in terms of project requirements, business needs, and system designs. Learn how the Internet of Things (IoT) is different from Regular Enterprise security, more intricate and more complex to understand and manage. Billions of internet-connected devices make for a chaotic system, prone to unexpected behaviors. Industries considering IoT technologies need guidance on IoT-ready security and risk management practices to ensure key management objectives like Financial and Market success, and Regulatory compliance. Understand the threats and vulnerabilities of the IoT, including endpoints, newly emerged forms of gateway, network connectivity, and cloud-based data centers. Gain insights as to which emerging techniques are best according to your specific IoT system, its risks, and organizational needs. After a thorough introduction to the Iot, Riot Control explores dozens of IoT-specific risk management requirements, examines IoT-specific threats and finally provides risk management recommendations which are intended as applicable to a wide range of use-cases.

Explains sources of risk across IoT architectures and performance metrics at the enterprise level
Understands risk and security concerns in the next-generation of connected devices beyond computers and mobile consumer devices to everyday objects, tools, and devices
Offers insight from industry insiders about emerging tools and techniques for real-world IoT systems
Comments From Reviewers
Preface
1Introduction-The Internet of Things
2The Anatomy of the Internet of Things
3 Requirements and Risk Management
4 Business and Organizational Requirements
5 Operational and Process Requirements
6 Safety Requirements in the Internet of Things
7 Confidentiality and Integrity and Privacy Requirements in the iot
8 Availability and Reliability Requirements in the loT
9 ldentity and Access Control Requirements in the loT
10 Usage Context and Environmental Requirements in the loT
11 Interoperability,Flexibility,and Industrial Design Requirements in the loT
12 Threats and Impacts to the loT
13 RloT Control
Index


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Statistical Learning of Complex Data

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Statistical Learning of Complex Data
Statistical Learning of Complex Data (Studies in Classification, Data Analysis, and Knowledge Organization)
ISBN-10 书号: 3030211398
ISBN-13 书号: 9783030211394
Edition 版本: 1st ed. 2019
Release Finelybook 出版日期: 2019-09-07
pages 页数: (201 )

$149.99

Book Description to Finelybook sorting

Front Matter
Part 1. Clustering and Classification
Cluster Weighted Beta Regression:A Simulation Study
Detecting Wine Adulterations Employing Robust Mixture of Factor Analyzers
Simultaneous Supervised and Unsupervised Classification Modeling for Assessing Cluster Analysis and Improving Results Interpretability
A Parametric Version of Probabilistic Distance Clustering
An Overview on the URV Model-Based Approach to Cluster Mixed-Type Data
Part ll. Exploratory Data Analysis
Preference Analysis of Architectural Facades by Multidimensional Scaling and Unfolding
Community Structure in Co-authorship Networks: The Case of Italian Statisticians
Analyzing Consumers’ Behavior in Brand Switching
Evaluating the Quality of Data Imputation in Cardiovascular Risk Studies Through the Dissimilarity Profile Analysis
Part ll. Statistical Modeling
Measuring Economic Vulnerability.A Structural Equation Modeling Approach
Bayesian Inference for a Mixture Model on the Simplex
Stochastic Models for the Size Distribution of ltalian Firms:A Proposal
Modeling Return to Education in Heterogeneous Populations: An Application to ltaly
Changes in Couples’ Bread-Winning Patterns and Wife’s Economic Role in Japan from 1985 to 2015
Weighted Optimization with Thresholding for Complete-Case Analysis
Part V. Graphical Models
Measurement Error Correction by Nonparametric Bayesian Networks: Application and Evaluation
Copula Grow-Shrink Algorithm for Structural Learning
Context-Specifc Independencies Embedded in Chain Graph Models of Typel
Part V. Big Data Analysis
Big Data and Network Analysis:A Combined Approach to Model Online News
Experimental Design lssues in Big Data: The Question of Bias

Sustainable Wireless Network-on-Chip Architectures

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Sustainable Wireless Network-on-Chip Architectures
Sustainable Wireless Network-on-Chip Architectures
By 作者: Jacob Murray – Paul Wettin – Partha Pratim Pande – Behrooz Shirazi
ISBN-10 书号: 0128036257
ISBN-13 书号: 9780128036259
Edition 版本: 1
Release Finelybook 出版日期: 2016-04-18
pages 页数: (162 )

$49.95

Book Description to Finelybook sorting

Sustainable Wireless Network-on-Chip Architectures focuses on developing novel Dynamic Thermal Management (DTM) and Dynamic Voltage and Frequency Scaling (DVFS) algorithms that exploit the advantages inherent in WiNoC architectures. The methodologies proposed―combined with extensive experimental validation―collectively represent efforts to create a sustainable NoC architecture for future many-core chips. Current research trends show a necessary paradigm shift towards green and sustainable computing. As implementing massively parallel energy-efficient CPUs and reducing resource consumption become standard, and their speed and power continuously increase, energy issues become a significant concern.
The need for promoting research in sustainable computing is imperative. As hundreds of cores are integrated in a single chip, designing effective packages for dissipating maximum heat is infeasible. Moreover, technology scaling is pushing the limits of affordable cooling, thereby requiring suitable design techniques to reduce peak temperatures. Addressing thermal concerns at different design stages is critical to the success of future generation systems. DTM and DVFS appear as solutions to avoid high spatial and temporal temperature variations among NoC components, and thereby mitigate local network hotspots.

Defines new complex, sustainable network-on-chip architectures to reduce network latency and energy
Develops topology-agnostic dynamic thermal management and dynamic voltage and frequency scaling techniques
Describes joint strategies for network- and core-level sustainability
Discusses novel algorithms that exploit the advantages inherent in Wireless Network-on-Chip architectures


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