Data Structures Using C

Properties of Composite Structures: Theory, Applications and Software covers the theoretical knowledge associated with damage development in composites and helps the reader to understand the basic pri

With easy-to-read language and illustrations on almost every page, the DATA Set chapter books are perfect for emerging readers.March of the Mini Beasts (The DATA Set #1)Don't Disturb the Dinosaurs (The DATA Set #2)The Sky Is Falling (The DATA Set #3)Robots Rule the School (The DATA Set #4)A Case of the Clones (The DATA Set #5)Invasion of the Insects (The DATA Set #6)Out of Remote Control (The DATA Set #7)Down the Brain Drain (The DATA Set #8)S.O.S. From Outer Space (The DATA Set #9)Revenge of Dr. von Naysayer (The DATA Set #10)A Little Snow Must Fall (The DATA Set #11)

This commentary covers all topics and critical aspects elicited by the new European General Data Protection Regulation and its interpretation. The commentary focuses on the regulation itself, including cross-references to further provisions (eg the Police and Criminal Justice Data Protection Directive, the E-Privacy-Directive or the former Data Protection Directive 95/46/EC).Article by article the purpose of a provision is classified, its background, function and structure analysed and its content interpreted. The commentary provides an independent view of all topics, presenting both an overview and specific interpretation that provide far-reaching arguments.The editors and authors are outstanding experts in the field of data protection law well known for their practical as well as structured and thorough approach to data protection issues. They offer suitable solutions and sound arguments especially for international companies, legal councils and corporate lawyers as well as data prot

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

DISCOVERING COMPUTERS: DIGITAL TECHNOLOGY, DATA, AND DEVICES, 17th edition, teaches you not only the basics of technology, but also how you will use it -- and the responsibilities that go along with being a digital citizen. Focusing on current technology, the content addresses convergence of devices and platforms. Each module integrates practical how-to tips, ethics issues and security topics, while Consider This boxes woven throughout help you sharpen your critical-thinking skills. A variety of end-of-module activities -- checkpoint questions, small group activities and problem-solving exercises -- enable you to put what you learn into practice. MindTap digital learning solution is also available. Using an inviting approach that ensures understanding, DISCOVERING COMPUTERS equips you with the information you need for success at home, school and work.

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

An empirical study and analysis of heart disease prediction involves using data analysis techniques to identify patterns and risk factors associated with cardiovascular disease. This approach utilizes machine learning algorithms to classify patients based on their likelihood of developing heart disease.The study involves collecting data on risk factors such as age, gender, family history, blood pressure, cholesterol levels, smoking, and diabetes. Feature selection techniques are used to identify the most important risk factors, and a classification model is trained using these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC.This empirical study and analysis has several advantages, including the ability to identify new risk factors associated with heart disease, improved accuracy in predicting cardiovascular risk, and the potential to develop more personalized prevention and treatment strategies. This approach has the potential to

This book assesses data protection rules that are applicable to the processing of personal data in a law enforcement context. It offers the first extensive analysis of the LED and Regulation (EU) 2018/1725. It illustrates the challenges arising from the unclear delineation between the different data protection instruments at both national and EU level. Taking a practical approach, it exemplifies situations where the application of data protection instruments could give rise to a lowering of data protection standards where the data protection rules applicable in the law enforcement context are interpreted broadly. The scope of data protection instruments applied by law enforcement authorities impacts processing for purposes of border control, migration management and asylum because there is an unclear delineation between the different data protection instruments.

此版本中，內爾‧戴爾(Nell Dale)不再是《數據結構(C++ Plus 實現)(第 6 版)》的唯一作者。 本書加入了兩位作者――奇普‧威姆斯(Chip Weems)和蒂姆‧理查茲(Tim Richards)，並繼續保持以往版本的優良傳統。在其他論著方面，奇普與內爾合著了三十多年，如 Java Plus Data Structures，為本書及其早期版本奠定了基礎，並對教學方法的改進作出了重大貢獻。在 Programming and ProblemSolving in C++ 的最新版本中，蒂姆、奇普和內爾三人密切合作，共同致力於讓世界各地的學生能夠取得成功，同時他們對教學的熱愛也激勵著學生們每天走進教室學習。 在過去的二十年裡，傳統的數據結構課程已經發展到更廣泛的主題，包括抽象數據類型(AbstractData Type，ADT)、軟件工程和算法的基本分析。 數據結構(Data Structures)研究如何在組織關係中表示數據集合，以及如何編寫相應操作的算法。 抽象數據類型是指一個定義屬性的數據類型以及這個數據類型上的一組操作。計算機科學教育的重點向更加抽象的方向轉變。現在，在程序中除了研究如何表示對象之外，還研究數據對象類型的抽象屬性。 Johannes J．Martin 說得非常簡單：“從觀點來看，數據對象是由數據類型(對於使用者)或數據結構(對於實現者)來描述的。”a抽象的設計和實現都與軟件工程密切相關，軟件工程旨在將工程方法應用于開發可靠、健壯和高質量的軟件。一個糟糕的抽象會導致一組煩瑣的應用案例，迫使程序員要麼編寫不必要的複雜代碼，要麼忽略重要的有效性檢查。一個糟糕的實現可能導致效率低下或容易出錯。 高效實現的一個方面是能夠分析既定算法。因此，在本書中，我們將抽象和應用程序的實現分開介紹，並分析所介紹的算法。

How to use data as a tool for empowerment rather than oppression.Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.

Written by four leading experts, this book provides a comprehensive overview of sociolinguistic variation and linguistic change in Arabic. It introduces sociolinguistic theory, methods, and data step-by-step, using accessible language and extensive examples throughout. Topics covered include sociolinguistic methodology, social variables, language change, spatial variation, and contact and diffusion. Each topic is explained and illustrated using empirical data drawn from a wide array of Arabic-speaking communities in the Middle East and North Africa, as well as other parts of the world where Arabic is or was spoken, to provide a rich resource of individual dialects, as well as a comparative view of variation in Arabic. Each chapter also contains annotated suggestions for further reading and elaborate exercises. It is an essential resource for students studying Arabic in its social context, as well as anyone wishing to expand their knowledge of variation in Arabic.

Written by four leading experts, this book provides a comprehensive overview of sociolinguistic variation and linguistic change in Arabic. It introduces sociolinguistic theory, methods, and data step-by-step, using accessible language and extensive examples throughout. Topics covered include sociolinguistic methodology, social variables, language change, spatial variation, and contact and diffusion. Each topic is explained and illustrated using empirical data drawn from a wide array of Arabic-speaking communities in the Middle East and North Africa, as well as other parts of the world where Arabic is or was spoken, to provide a rich resource of individual dialects, as well as a comparative view of variation in Arabic. Each chapter also contains annotated suggestions for further reading and elaborate exercises. It is an essential resource for students studying Arabic in its social context, as well as anyone wishing to expand their knowledge of variation in Arabic.

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.

A study of the Macchi Folgore and Veltro, the most successful Italian fighters in World War II. The book looks at how the fighters were conceived, their performance and their pilots’ stories.Italian fighters, such as the Fiat G.50 and Macchi C.200, had always struggled with their straight-line speed and restricted armament when engaging their Allied counterparts. To solve these problems, Macchi initially designed the C.202 Folgore using German engines, which contributed to create a faster aircraft, with a superior rate of climb and reachable altitude. Folgore’s success in various North African engagements then paved the way for the development of Macchi’s most successful fighter, the C.205V Veltro, which managed to combine increased speed and increased power. Packed with specially commissioned artwork and original photos, and written by Italian military aviation specialist Marco Mattioli, this fascinating book explores how the premier Italian fighter of the war came to life and the his

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States--Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow--Loukissas shows us how to analyze data settings rather than data sets.Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogen

An integrated introduction to data visualization, strategic communication, and delivery best practices.Persuading with Data provides an integrated instructional guide to data visualization, strategic communication, and delivery best practices. Most books on data visualization focus on creating good graphs. This is the first book that combines both explanatory visualization and communication strategy, showing how to use visuals to create effective communications that convince an audience to accept and act on the data. In four parts that proceed from macro to micro, the book explains how our brains make sense of graphs; how to design effective graphs and slides that support your ideas; how to organize those ideas into a compelling presentation; and how to deliver and defend data to an audience. Persuading with Data is for anyone who has to explain analytical results to others. It synthesizes a wide range of skills needed by modern data professionals, providing a complete toolkit for cr

品名 : Data Line PP彈簧夾/右中材質：聚丙烯、鐵、紙規格：H31.3xW24xD2cm(測量有±2cm誤差值)數量：1本款式：C綠產地：台灣保存期限：妥善保存無期限適用年齡：九歲以上用途：收納資料使用特性：●彈簧夾設計，堅固耐用●內壓斜口袋●6種色系供您選擇●台灣製造，安心有保障使用方法：拆封即可使用注意事項：●請勿放置於潮濕處或高溫日照下●請勿放置於幼兒易取處●請勿接近火源●內有細小配件，請勿吞食●十五歲以下兒童請在成人監護下使用●九歲以下兒童不宜●須由成人拆開包裝，避免幼兒纏繞產生窒息商品除瑕疵品外，恕不接受退換貨因拍攝略有色差，圖片僅供參考，顏色請以實際收到商品為準

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow―and show how a human-centered approach can enhance each one, by making the process more transparent, aski

An interdisciplinary and easy-to-understand introduction to the subject, covering fundamental theory and practical applications, and using numerous operational examples. This balanced text will allow you to begin from what the radar observes and move deeper through electromagnetic scattering theory and cloud microphysics to understand and interpret data as it appears on the display. It uses illustrations and figures of real radar observations to convey concepts and theory of atmospheric processes typically observed with weather radar, as well presenting a working knowledge of the radar system itself. In addition to covering fundamentals of scattering and atmospheric physics, topics include system hardware, signal processing, and radar networks. This is the perfect tool for scientists and engineers working on weather radars or using radars and their data, as well as senior undergraduate and graduate students studying weather radars.

Who, if anyone, should regulate the internet? Governments around the world have answered this question robustly: they will. Digital sovereignty--the exercise of control over the internet--is the ambition of world leaders as a natural extension of traditional sovereignty and as a bulwark against the reach of foreign power. The question posed to governments now is not who should regulate the internet, but how should it be done. Data Sovereignty: From the Digital Silk Road to the Return of the State focuses on the question of territorial control over data flows and attempts by national and regional governments to place limits on the free movement of data across a global internet. Drawing on theories in political economy, international law, human rights, and data protection, this volume offers new theoretical perspectives and thought-provoking ideas about the nature and scope of digital sovereignty. It examines the extent to which new technologies, such as artificial intelligence, robotics

Based on the Judicial Transparency Index Assessment (2019 and 2020) conducted in China by the Institute of Law of the Chinese Academy of Social Sciences, this book summarizes and analyzes the current situation of judicial openness in China, using a sample of 218 courts across the country for the study. The book analyzes the ideological and institutional origins of judicial openness and examines the operation of judicial openness through the practical experience of role replacement. By analyzing evaluation data in the fields of audit information disclosure, trial information disclosure, judicial enforcement data disclosure, and judicial reform data disclosure, the book points out that the current judicial disclosure has made significant progress, but there are still problems such as unclear disclosure standards, insufficient rigidity in disclosure requirements, and the scope of disclosure still needs to be expanded.The book recommends accelerating the disclosure of judicial legislation,

本書是一本講述C++編程技術並指導實踐的教材,結合大量的應用實例,詳細介紹C++的概念、特性以及基於C++語言的程序設計開發方法。全書共分為15章,內容主要包括C++的基本概念、C++新特性、類和對象、類的特殊成員、友元函數、函數重載、繼承特性、多態特性、string以及C++特殊功能的用法等,將C++ 的經典使用方法融入項目開發中,提升讀者對C++ 的認識和理解。

本書以“學完C語言之後知道能做什麼”為編寫目標，共包括7章：Linux C語言程序設計簡介、C語言基礎、鏈表、C標準庫與Linux系統調用、Socket編程、Pthreads編程、GTK圖形界面編程。其中，C語言基礎、C標準庫與Linux系統調用為本書最基礎最重要的兩章，全面介紹了標準C的基本語法和Linux系統調用編程。其他章節告訴讀者C語言具體能做什麼。本書堅守“Talk is cheap, show me the code.”信條，通過正確無誤的示例代碼向讀者展示C語言的具體用法。本書內容注重實用、結構清晰、圖文並茂，力求做到使讀者在興趣中學習Linux C語言編程。本書提供配套課件、教學大綱和習題參考答案等多種教學資源，還提供了82個教學視頻，讀者在學習的過程中，掃描教學視頻二維碼可以觀看視頻。

在《C++ Core Guidelines 解析》中，C++ 專家講師 Rainer Grimm提煉出了Core Guidelines中的精髓，去除了晦澀難懂的內容，分享了新的見解和背景，並提供了自己培訓課程中經過充分測試的示例。對於使用 C++11 及後續版本 C++ 的有經驗程序員，Grimm 能為他們提供幫助，使其用好Core Guidelines。他的大部分代碼示例是為 C++17 編寫的，在合適的地方涵蓋了更新版本和 C++20，並提供了對官方 C++ Core Guidelines在線版本的引用。無論你是創建新軟件還是改進舊代碼，Grimm 都將幫助你從Core Guidelines裡最有用的規則中獲取更多價值，使你編寫的代碼更安全、更清晰、更高效，以及更易於維護。* 應用Core Guidelines和其中的編程哲學* 正確使用接口、函數、類、枚舉、資源、表達式和語句* 優化性能，實現併發和並行，處理錯誤* 有效地使用常量、不可變性、模板、泛型和元編程* 改進C++ 代碼風格，管理源文件，使用標準庫

這是一本經典的C++編程入門指南，第9版針對C++20標準進行了內容上的全面更新，旨在幫助讀者編寫更快、更簡單、更可靠的C++代碼，並掌握C++和面向對象編程的基本原理。本書通過大量短小精悍的程序詳細而全面地闡述了C++的基本概念和技術應用，以及C++20新增的功能，這些內容被組織成結構合理、聯繫緊密的章節。每章都提供了示例程序清單，並輔以示例輸出和代碼分析，以進一步闡述該章的主題。為幫助讀者鞏固所學的內容，每章末尾都提供了常見問題相關答案以及作業。讀者可對照附錄E提供的答案，瞭解自己對所學內容的掌握程度。本書面向C++初學者，不要求讀者有C語言方面的背景知識，可作為高等院校教授C++課程的教材，也可供初學者自學C++時使用。

C#是一款由C和C++衍生出來的面向對象的編程語言，其很多特性也與Java相似，它繼承了C和C++的強大功能，並綜合了Visual Basic的可視化操作和C++的高運行效率等，是一款在.NET 平臺上廣泛使用的高級程序設計語言。《Easy C#(第2版)》是一本面向編程零基礎讀者的C#超級入門書。本書使用淺顯易懂的語言，結合大量生動有趣的插圖，循序漸進地介紹了從環境安裝到C#語法、面向對象、Windows應用程序開發所需的知識和技術。書中特別注重編程思維的培養，並在最後設計了消費稅計算器、電話簿應用程序、天氣預報程序、圖書管理應用和繪圖應用程序共5個大型的C# Windows 應用程序的開發案例，特別適合作為C#編程初學者的第一本書，也可以作為大中專院校相關專業學生的教學參考書。

During your life you will make many important financial decisions. Their success will be significantly affected by the state of the economy and financial markets when you make them. Imagine if you had a guide to the future to help you anticipate periods of boom and bust and make decisions accordingly: when to invest and take risk, and when to sell or take measures to preserve your wealth.The Secret Wealth Advantage is that guide. To make better investment decisions at the right times, you need to understand the 18-year cycle. It is responsible for all of the periods of wild speculation and spectacular collapse that have been a feature of the modern economy for well over 200 years.At the heart of this cycle is the property market. Understand this and you will be able to forecast precisely what will happen next. Using a treasure trove of historical data and entertaining stories from the present and prior periods, The Secret Wealth Advantage reveals everything you need to know about the c

本書通過對C#語言知識點的解說和實驗設計，使得學生能夠掌握C#語言的基本概念和原理；瞭解C#語言的功能和作用；掌握C#語言編程技術要點；鍛煉完成一個完整軟件的能力；獲得開發和應用軟件的初步能力。

本書從C#開發的理論知識與開發時間相結合的方式，由簡單到複雜介紹C#的開發，共包含六個篇章。 第一篇是基礎篇，包含1-8，介紹C#語言的基礎知識，其中：第一章介紹C#語言的特點和開發工具使用。 第二章介紹C#項目的介紹，可以自己開發一個小程序。 第三章介紹C#中常量和變量的基本語法。 第四章介紹C#表達式和運算符的用法。 第五章介紹C#中常用到的流程控制語句。 第六章介紹C#中數組與結合的用法。 第七章介紹C#中屬性和方法的使用。 第八章介紹C#中結構體和類的使用。 第二篇是核心篇，包含9-13，介紹C#語言的核心知識，其中：第九章介紹面向對象的高級編程。 第十章介紹Windows窗體每個控件的使用。 第十一章介紹ADO.NET高級編程，將C#程序與數據庫相連接。 第十二章介紹C#程序調試的過程以及調試方法。 第三篇是高級篇，包含13-18，介紹C#中的文件流等高級的編程，其中：第十三章介紹C#中文件流技術。 第十四章介紹C#異常處理的機制。 第十五章介紹C#中的網絡編程，可以實現局域網通信。 第十六章介紹C#中線程使用。 第十七章介紹C#GDI圖形圖像技術，可以自行畫出柱狀圖等。 第十八章介紹C#安裝程序的打包的方法。 第四篇是項目實戰篇，包含19章節，從開始到最後，介紹智能工業項目的實現過程。

本書以培養編程能力為出發點，以實用性為目標，全面系統地介紹C語言程序設計的基本知識和程序設計的基本方法。全書共10章，第1章是對程序設計相關知識的概述，第2章介紹C語言的語法基礎，第3章講解C語言程序設計的控制結構，第4章講解C語言數組的用法，第5章講解C語言函數的定義與調用，第6章講解C語言指針的概念及用法，第7章講解C語言中的結構體與鏈表，第8章講解C語言中文件的概念及用法，第9章講解C語言的位運算，第10章給出了3個利用C語言設計的綜合程序實例。本書實例均採用VS 2013編程環境實現， 並對大多數題目的設計思路進行詳細的解析，以滿足不同層次讀者的需要。 本書是作者多年來從事C語言教學的經驗積累，適合作為高等學校“C語言程序設計”課程的教材，也可作為C語言程序設計愛好者的自學用書。

《學習C++20(中文版)》共18章5個附錄，討論了C++20的5大編程模型：程序化編程、函數式編程、面向對象編程、泛型編程和模板元編程。第I部分介紹基礎知識，第II部分介紹容器、C++20範圍、指針、字符串和文件，第III部分介紹現代面向對象編程和異常，第Ⅳ部分介紹泛型編程、模板、概念和模板元編程，第V部分介紹高級主題，包括模塊、並行算法、併發和協程。 《學習C++20(中文版)》適合需要瞭解C++20新特性的程序員，包括零基礎或有經驗的C++程序員以及其他想要瞭解C++的程序員，也適合希望開課教C++20的老師。

Designed for advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II as well as courses on Generalized Linear Models, Longitudinal Data Analysis, Correl

C++是目前流行且應用廣泛的程序設計語言之一，它的高效率和面向對象技術備受推崇。本書由淺入深、循序漸進地講解了C++的各個知識點，結合一些實用的知識講解了CH+的主要用法。全書分為4篇，共25章，內容包括基於C++98版本的知識點:C++的歷史和特點、C++編譯工具的安裝和配置、C++程序的元素、C++基本數據類型、C++語句與控制結構、數組、函數、指針與引用、自定義數據類型與字符串、面向對象程序設計思想和類、重載技術、繼承與派生技術、虛函數與多態性、模板與命名空間、標準模板庫、C++輸入/輸出、C++異常處理、API編程和MFC框架簡介、多線程處理與鏈接庫、基本算法與數據結構、數據庫編程和網絡編程等，同時還對C++11～C++ 20版本的新特性進行了講解。為了使讀者能真正掌握C++的用法，書中最後兩章通過建立兩個實用的程序向讀者介紹C++的具體應用。 本書適合初學C++人員、具有一定C語言或者C++語言基礎的中級學習者、學習CH+的大/中專院校的學生閱讀，也可以作為高等院校C++的教材或教學參考書。

本書內容覆蓋了初學者應該掌握的C/C++知識，包括預備知識、程序概貌與開發工具、數據類型與表達式、程序流程控制結構、函數、數組、指針、自定義類型、預處理宏、類和對象、運算符重載、繼承與多態、輸入與輸出流共13章內容。此外，本書還提供了部分電子版文檔及相關資源，包括各章的概念理解題和上機練習題、四個附錄(調試方法、異常處理、命名空間和特殊構造函數)、各章全部例題的源代碼以及教師授課用的各章PPT文檔。 本書面向零基礎的C/C++程序設計初學者，適合作為高等院校C/C++課程的教材或者相關人員的自學參考書。

對於C語言來說，只了解語法是遠遠不夠的。工業界需要開發人員對C語言的規則和實踐有嚴格、科學的理解。這本精練、實用的指南將帶領你學習運用C語言強大的底層語言能力來編寫高效的實際系統，幫助您成為一名專業的C程序員。在現有C語言知識的基礎上，您將掌握預處理器指令、宏、條件編譯、指針等高階知識；您將形成對算法設計、函數和結構體的新見解，並學會如何在資源受限的嚴格環境中利用C語言的特性使應用程序獲得最高性能。即使到了現在，C語言在編程中也依然扮演著關鍵角色，它仍然是精密工程、航空航天、空間研究等領域的核心語言。本書展示了C語言如何與Unix協同工作，如何在C語言中實現面向物件原則，並全面介紹了多進程問題。在本書中，作者Amini鼓勵讀者自己思考、提問、應用和實驗。本書對於任何想提升C語言應用能力的人來說都是必不可少的。

《AP物理C：力學和電磁學》是適合考生備考使用的一本中英文結合的AP物理C教材。在充分研究AP物理C的知識體系及教學體系的基礎上，本書搭建了較易於中國學生理解與接受的AP物理C知識體系，真正全面覆蓋了AP物理C的考點。本書提供了大量例題和習題，為奪取力學或電磁學的高分奠定了扎實的基礎。

本書帶領讀者通過練習掌握編寫現代C程序的方法和技巧。全書分為11章，首先概述C語言編程的基本概念，然後詳解C語言的所有構成要素，包括變量、對象、函數、數據類型、運算符、表達式、控制流、動態內存分配、預處理器等，最後帶領讀者利用這些構成要素構建實用的系統，學習如何調試、測試、分析代碼。學透本書，你就能成為專業的C程序員，編寫出安全、高質量、可移植的C程序。本書適合所有想編寫優秀C程序的讀者閱讀。