Programming HTML5 Applications

通過本教材的學習，學生將掌握使用HTML5、CSS3、JavaScript及Bootstrap框架進行響應式Web應用程序開發的知識。本教材以培養職業能力為核心，以工作實踐為主線，以項目為導向，採用案例式教學，兼顧界面佈局樣式與交互性，增加課程內容的視覺衝擊力，以創建出更富交互性、更有趣、對用戶更友好的前端應用。 本教材涉及的是國家“1+X”Web前端開發職業技能證書考試的核心內容。本教材在編寫過程中，既強調基礎理論學習，結合前端技術的不斷發展，通過相關案例詳細介紹前端開發相關理論的實踐運用，實現了理論學習的體系化，又與實踐應用進行了結合，強化了對相關知識的理解。本教材以豐富的案例為載體，精心編排教學內容，設計了由易到難、層次遞進的教學項目，並設計了貫穿知識體系的實戰項目，讓讀者學以致用；實現了技術講解與訓練的合二為一，有助於“教、學、做”一體化教學的實施。 本教材可以利用互聯網信息技術開展線上與線下教學，包含了大量的微課視頻、教學PPT等配套資源，方便教師教學和學生學習。

The Creator of OpenSCAD, Marius Kintel, teaches anyone how to code and print fun games, puzzles, and more.OpenSCAD is free, open-source 3D modeling software; its easy-to-use programming interface is g

Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural la

A new assembly language programming book from a well-loved master. Art of 64-bit Assembly Language capitalizes on the long-lived success of Hyde's seminal The Art of Assembly Language. Randall Hyde's

This book addresses the role of statistics and probability in the evaluation of forensic evidence, including both theoretical issues and applications in legal contexts. It discusses what evidence is and how it can be quantified, how it should be understood, and how it is applied (and, sometimes, misapplied). After laying out their philosophical position, the authors begin with a detailed study of the likelihood ratio. Following this grounding, they discuss applications of the likelihood ratio to forensic questions, in the abstract and in concrete cases. The analysis of DNA evidence in particular is treated in great detail. Later chapters concern Bayesian networks, frequentist approaches to evidence, the use of belief functions, and the thorny subject of database searches and familial searching. Finally, the authors provide commentary on various recommendation reports for forensic science. Written to be accessible to a wide audience of applied mathematicians, forensic scientists, and sc

This book addresses the role of statistics and probability in the evaluation of forensic evidence, including both theoretical issues and applications in legal contexts. It discusses what evidence is and how it can be quantified, how it should be understood, and how it is applied (and, sometimes, misapplied). After laying out their philosophical position, the authors begin with a detailed study of the likelihood ratio. Following this grounding, they discuss applications of the likelihood ratio to forensic questions, in the abstract and in concrete cases. The analysis of DNA evidence in particular is treated in great detail. Later chapters concern Bayesian networks, frequentist approaches to evidence, the use of belief functions, and the thorny subject of database searches and familial searching. Finally, the authors provide commentary on various recommendation reports for forensic science. Written to be accessible to a wide audience of applied mathematicians, forensic scientists, and sc

An introduction to the theory and engineering practice that underpins the component design and analysis of radial flow turbocompressors. Drawing upon an extensive theoretical background and years of practical experience, the authors provide descriptions of applications, concepts, component design, analysis tools, performance maps, flow stability, and structural integrity, with illustrative examples. Features wide coverage of all types of radial compressor over many applications unified by the consistent use of dimensional analysis. Discusses the methods needed to analyse the performance, flow, and mechanical integrity that underpin the design of efficient centrifugal compressors with good flow range and stability. Includes explanation of the design of all radial compressor components, including inlet guide vanes, impellers, diffusers, volutes, return channels, de-swirl vanes and side-streams. Suitable as a reference for advanced students of turbomachinery, and a perfect tool for practi

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical pers

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques.Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/un

Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering contains several practical applications on how decision-making theory could be used in solving problems relating to the selection of best alternatives. The book focuses on assisting decision-makers (government, organizations, companies, general public, etc.) in making the best and most appropriate decision when confronted with multiple alternatives. The purpose of the analytical MCDM techniques is to support decision makers under uncertainty and conflicting criteria while making logical decisions.The knowledge of the alternatives of the real-life problems, properties of their parameters, and the priority given to the parameters have a great effect on consequences in decision-making. In this book, the application of MCDM has been provided for the real-life problems in health and biomedical engineering issues.

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first cour

Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the fundamental ideas underpinning most modeling approaches, and will allow you to easily develop your own models. With more than 150 figures, the basic concepts and ideas behind the development of different approaches are clearly illustrated. Addresses a wide range of problems arising in diverse industrial sectors, from oil and gas to fine chemicals, and from commodity chemicals to food manufacturing. A perfect resource for engineering and computer science students, researchers working in the area, and industrial practitioners.

Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.This book provides a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL). The book starts with an introduction to the background and rising of network embeddings as a general overview for readers. Then it introduces the development of NE techniques by presenting se

Use this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application growing pains. MongoDB is the world's most popular document database and the foundation for thousands of mission-critical applications. This book helps you get the best possible performance from MongoDB.MongoDB Performance Tuning takes a methodical and comprehensive approach to performance tuning that begins with application and schema design and goes on to cover optimization of code at all levels of an application. The book also explains how to configure MongoDB hardware and cluster configuration for optimal performance. The systematic approach in the book helps you treat the true causes performance issues and get the best return on your tuning investment. Even when you're under pressure and

A concise introduction to the field of theoretical pragmatics and its applications in second language acquisition and English-language instruction Pragmatics and its Applications to TESOL and SLA offers an in-depth description of key areas of linguistic pragmatics and a review of how those topics can be applied to pedagogy in the fields of second language acquisition (SLA) and teaching English to speakers of other languages (TESOL). This book is an excellent resource for students and professionals who have an interest in teaching pragmatics (speech acts, the cooperative principle, deixis, politeness theory, and more) in second language contexts. This book introduces technical terminology and concepts—including the fundamentals of semantics and semiotics—in simple language, and it provides illuminating examples, making it an excellent choice for readers with an elementary linguistics background who wish to further their knowledge of pragmatics.It also covers more advanced pragmatics top

*Extensive applications of linear algebra concepts to a variety of real-world situations are provided. Students learn how theories and concepts of linear algebra can help solve modern-day problems.*Abundant computer exercises—more extensive than any other linear algebra book available—help students visualize and discover linear algebra, and allow them to explore more realistic applications that are too computationally intensive to work out by hand. These exercises also give students experience in performing matrix computations.*Worked-out examples illustrate new concepts, making the material less abstract and helping students quickly build their understanding.*Two chapter tests for every chapter help students study for exams and get the practice they need to master the material.*A comprehensive MATLAB® appendix gives users all the information they need to use the latest version of MATLAB.

Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.Time pressures encourage programmers to write code that works well for a n

Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data.This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in th

內容簡介:全彩印刷，對學習網頁設計極有幫助！經典暢銷書全新改版，快速學會網頁程式設計的關鍵技術！有了本書，讓您一次學會網頁程式設計的關鍵技術：*HTML5的元素和各種表單輸入類型，讓網頁的結構條理分明。*CSS3的BoxModel、定位方式，以及色彩、字型、文字、清單、背景、漸層、表格、陰影、邊界、留白、框線、變形、轉場與媒體查詢等屬性，以根據PC或行動裝置的特徵設計網頁。*JavaScript的核心語法和瀏覽器端的應用，讓靜態網頁具有動態效果，包括DOM、window物件、標準內建物件、環境物件、document物件、element物件、錯誤處理、事件處理、JavaScript程式範例等。*jQuery的核心語法、事件、特效和常用函式，讓網頁設計更快速便利。*jQueryUI的常用元件和佈景主題，讓網頁設計更專業美觀。*Ajax動態網頁技術在背景非同步下載更新的資料，例如伺服器端的資料或氣象、就業、觀光等網際網路上的開放資料，包括普遍使用的JSON格式。*響應式網頁設計(RWD，ResponsiveWebDesign)根據瀏覽器環境自動調整網頁的版面配置，讓網頁完整呈現在PC、平板、手機等裝置。

本書特色 集結了架設WP網站與網頁設計會遇到的100個實例Q&A  WordPress - 不會寫程式也可以輕鬆架站  推薦21款超實用WrdPress外掛 - 強化網站功能、安全性、SEO讓您的網站更為符合客製的需求  精選HTML5、CSS3問題集 - 網頁設計師不能錯過的必修課程 本書精彩收錄100個實例Q&A： 火紅架站系統大公開：WordPress架站篇 如何成為W

即使你以前從未接觸編程，也能輕鬆上手！這本書是學習JavaScript最易途徑，還結合了CSS3和HTML5一起講解，用它們來創建強大的web和移動交互體驗！用你喜歡的方式講解你想學的知識——JavaScript從來沒有這麼簡單過!

Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values st

Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values st

There are 12 modules in this textbook, including: C programming overview; types, operators and expressions; input and output; decision making; loops; arrays; functions; preprocessors; pointers; struct

本教材介紹web前端開發技術理念，以項目為導向，實施項目過程中講解前端開發技術和策略，包括HTML5語義化標簽、文本、圖像、表單、畫布、音視頻標簽等；CSS3基礎知識、引入方法以及背景、陰影和漸變、圓角邊框、過渡和變形效果等設置；JavaScript基礎知識、函數、對象、事件等的使用等。

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code.You've mastered the basics. Now you're ready to explor

Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithm

Assessment of Medicinal Plants for Human Health: Phytochemistry, Disease Management, and Novel Applications sheds light on the potential of certain plants and will be of value to faculty and advanced-

Insect Transgenesis: Methods and Applications describes, in a comprehensive manner, the various methodologies available, possible applications, and the risk assessment and regulatory issues involved i

Tau functions are a central tool in the modern theory of integrable systems. This volume provides a thorough introduction, starting from the basics and extending to recent research results. It covers a wide range of applications, including generating functions for solutions of integrable hierarchies, correlation functions in the spectral theory of random matrices and combinatorial generating functions for enumerative geometrical and topological invariants. A self-contained summary of more advanced topics needed to understand the material is provided, as are solutions and hints for the various exercises and problems that are included throughout the text to enrich the subject matter and engage the reader. Building on knowledge of standard topics in undergraduate mathematics and basic concepts and methods of classical and quantum mechanics, this monograph is ideal for graduate students and researchers who wish to become acquainted with the full range of applications of the theory of tau f

Applied Ergonomics is a concise text focusing on the practical applications of ergonomics. It is derived from the successful annual conference of the same name. This is a text of applications, filling

This book documents the significant progress in studies concerning linear circuits and systems, including their applications to digital filters, in Japan. It considers rational approximations in circu

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing

本書系統介紹WebRTC技術的原理與應用，主要內容包括：WebRTC技術發展歷史、應用場景、整體架構，WebRTC通話原理，Web開發環境搭建，HTML5項目簡介，訪問設備的設置，音視頻設備的設置，音視頻的錄製，結合React+Flutter+Go技術開發音視頻應用的案例。

Across two volumes, the authors of Morrey Spaces: Introduction and Applications to Integral Operators and PDE’s discuss the current state of art and perspectives of developments of this theory of Morr

This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms to solve various computational problems. It is useful for stu

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions

This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of