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| comma separated list math: Math Made a Bit Easier Larry Zafran, 2009-11-02 An independent book written and self-published by former math teacher and private math tutor Larry Zafran. Students are justified in proclaiming that math is hard, but there is a specific reason why they feel this way. The author maintains that the struggle can be lessened by following the roadmap presented, but it will take time and effort on the part of the student. Since math is often not properly taught, it is often not properly learned. Anything that hasn't truly been learned, regardless of subject, is hard. Once the various concepts are more secure, and the student's gaps in understanding have been addressed, math will have been made a bit easier as promised by the book's title. However, the book does not imply that learning math is fast, fun, or easy. Most of the book's content is comprised of the roadmap of topics for a student to work through at his/her own pace. Like all paths, it begins at the beginning, in this case starting with a review of basic arithmetic, followed by basic operations, negative numbers, fractions, decimals, percents, and basic probability and statistics. This is the foundation of all math. The space devoted to each topic is proportional to how difficult most students find the topic, as well as how important the topic is in preparation for later math studies. The material is explained conversationally and in plain English as promised by the book's subtitle, without talking down to the reader, and without the use of contrived examples or cartoonish illustrations. The book concludes with a chapter on how to effectively study math and improve scores on exams. Like the rest of the book, the chapter takes a unique standpoint on the matter, and offers suggestions which include how to get oneself into the proper mental and emotional mindset for being successful with math. |
| comma separated list math: Data Visualization with JavaScript Stephen A. Thomas, 2015 You've got data to communicate. But what kind of visualization do you choose, how do you build it, and how do you ensure that it's up to the demands of the Web? In Data Visualization with JavaScript, you'll learn how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and will have you building basic visualizations, like bar, line, and scatter graphs, in no time. Then you'll move on to more advanced topics, including how to: Create tree maps, heat maps, network graphs, word clouds, and timelines Map geographic data, and build sparklines and composite charts Add interactivity and retrieve data with AJAX Manage data in the browser and build data-driven web applications Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries If you already know your way around building a web page but aren't quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. Before you know it, you'll be well on your way to creating simple, powerful data visualizations. |
| comma separated list math: Intelligent Computer Mathematics Catherine Dubois, Manfred Kerber, 2023-08-30 This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Computer Mathematics, CICM 2023, held in Cambridge, UK, in September 2023. The 14 full papers, 2 project/survey papers, 6 short papers, and 1 tool paper presented were carefully reviewed and selected from a total of 37 submissions. The papers focus on advances in formalization, automatic theorem proving and learning, search and classification, teaching and geometric reasoning, and logic and systems, among other topics. |
| comma separated list math: Mathematical Modeling in Systems Biology Brian P. Ingalls, 2013-07-05 An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis. |
| comma separated list math: An Introduction to Modern Mathematical Computing Jonathan M. Borwein, Matthew P. Skerritt, 2012-08-07 Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three “M’s” Maple, Mathematica and Matlab. We intend to persuade that Mathematica and other similar tools are worth knowing, assuming only that one wishes to be a mathematician, a mathematics educator, a computer scientist, an engineer or scientist, or anyone else who wishes/needs to use mathematics better. We also hope to explain how to become an experimental mathematician while learning to be better at proving things. To accomplish this our material is divided into three main chapters followed by a postscript. These cover elementary number theory, calculus of one and several variables, introductory linear algebra, and visualization and interactive geometric computation. |
| comma separated list math: Oracle in a Nutshell Rick Greenwald, David Kreines, 2003 Oracle Languages - Syntax summary for SQL language statements, SQL function calls PL/SQL language statements and characteristics, PL/SQL built-in package headers, and Java (JDBC and SQLJ) interfaces to the Oracle database. |
| comma separated list math: Professional Java W. Clay Richardson, Donald Avondolio, Joe Vitale, Scot Schrager, Mark W. Mitchell, Jeff Scanlon, 2005-01-28 What is this book about? Professional Java builds upon Ivor Horton's Beginning Java to provide the reader with an understanding of how professionals use Java to develop software solutions. Pro Java starts with an overview of best methods and tools for developing Java applications. It then examines the the more sophisticated and nuanced parts of the Java JDK. The final and most extensive part of the book shows how to implement these ideas to build real-world applications, using both Java APIs as well as related Java open source tools. In short, this book provides a comprehensive treatment of the professional Java development process, without losing focus in exhaustive coverage of isolated features and APIs. |
| comma separated list math: Numeric Computation and Statistical Data Analysis on the Java Platform Sergei V. Chekanov, 2016-03-23 Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language. The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students. |
| comma separated list math: Foundations and Methods of Stochastic Simulation Barry L. Nelson, Linda Pei, 2021-11-10 This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors. |
| comma separated list math: JavaScript David Flanagan, 2006-08-17 This Fifth Edition is completely revised and expanded to cover JavaScript as it is used in today's Web 2.0 applications. This book is both an example-driven programmer's guide and a keep-on-your-desk reference, with new chapters that explain everything you need to know to get the most out of JavaScript, including: Scripted HTTP and Ajax XML processing Client-side graphics using the canvas tag Namespaces in JavaScript--essential when writing complex programs Classes, closures, persistence, Flash, and JavaScript embedded in Java applications Part I explains the core JavaScript language in detail. If you are new to JavaScript, it will teach you the language. If you are already a JavaScript programmer, Part I will sharpen your skills and deepen your understanding of the language. Part II explains the scripting environment provided by web browsers, with a focus on DOM scripting with unobtrusive JavaScript. The broad and deep coverage of client-side JavaScript is illustrated with many sophisticated examples that demonstrate how to: Generate a table of contents for an HTML document Display DHTML animations Automate form validation Draw dynamic pie charts Make HTML elements draggable Define keyboard shortcuts for web applications Create Ajax-enabled tool tips Use XPath and XSLT on XML documents loaded with Ajax And much more Part III is a complete reference for core JavaScript. It documents every class, object, constructor, method, function, property, and constant defined by JavaScript 1.5 and ECMAScript Version 3. Part IV is a reference for client-side JavaScript, covering legacy web browser APIs, the standard Level 2 DOM API, and emerging standards such as the XMLHttpRequest object and the canvas tag. More than 300,000 JavaScript programmers around the world have made this their indispensable reference book for building JavaScript applications. A must-have reference for expert JavaScript programmers...well-organized and detailed. -- Brendan Eich, creator of JavaScript |
| comma separated list math: Effective Computation in Physics Anthony Scopatz, Kathryn D. Huff, 2015-06-25 More physicists today are taking on the role of software developer as part of their research, but software development isnâ??t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. Youâ??ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures |
| comma separated list math: AIMMS 3. 9 - Language Reference Marcel Roelofs, Johannes Bisschop, 2009-05-04 The AIMMS 3.9 Language Reference provides a complete description of the AIMMS modeling language, its underlying data structures and advanced language constructs. It is aimed at model builders only, and provides the ultimate reference to the model constructs that you can use to get the most out of your model formulations. |
| comma separated list math: Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL Joe Celko, 2008-01-22 Perfectly intelligent programmers often struggle when forced to work with SQL. Why? Joe Celko believes the problem lies with their procedural programming mindset, which keeps them from taking full advantage of the power of declarative languages. The result is overly complex and inefficient code, not to mention lost productivity.This book will change the way you think about the problems you solve with SQL programs.. Focusing on three key table-based techniques, Celko reveals their power through detailed examples and clear explanations. As you master these techniques, you'll find you are able to conceptualize problems as rooted in sets and solvable through declarative programming. Before long, you'll be coding more quickly, writing more efficient code, and applying the full power of SQL - Filled with the insights of one of the world's leading SQL authorities - noted for his knowledge and his ability to teach what he knows - Focuses on auxiliary tables (for computing functions and other values by joins), temporal tables (for temporal queries, historical data, and audit information), and virtual tables (for improved performance) - Presents clear guidance for selecting and correctly applying the right table technique |
| comma separated list math: Analysis Techniques for Racecar Data Acquisition Jorge Segers, 2008-05-25 Data acquisition has become an invaluable tool for establishing racecar - and car/driver - performance. Now that the ability exists to analyze each and every performance parameter for car and driver, accurate use of this data can provide a key advantage on the racetrack. This book provides a thorough overview of the varied methods for analyzing racecar data acquisition system outputs, with a focus on vehicle dynamics. |
| comma separated list math: JDBC API Tutorial and Reference Maydene Fisher, Jonathan Ellis, Jon Ellis, Jonathan Bruce, 2003 bull; A comprehensive tutorial AND useful rufescence in one volume bull; Includes multiple explanations and examples for the new features of the JDBC 3.0 specification bull; Written by the JDBC 3.0 architects, Maydene Fisher, Jon Ellis and Jonathan Bruce |
| comma separated list math: AIMMS 3. 10 Language Reference Marcel Roelofs, 2010-05-19 The AIMMS 3.10 Language Reference provides a complete description of the AIMMS modeling language, its underlying data structures and advanced language constructs. It is aimed at model builders only, and provides the ultimate reference to the model constructs that you can use to get the most out of your model formulations. |
| comma separated list math: Aimms 3.8 - Language Reference Marcel Roelofs, Johannes Bisschop, 2007-12-16 The AIMMS 3.8 Language Reference provides a complete description of the AIMMS modeling language, its underlying data structures and advanced language constructs. It is aimed at model builders only, and provides the ultimate reference to the model constructs that you can use to get the most out of your model formulations. |
| comma separated list math: The LaTex Web Companion Michel Goossens, S. P. Q. Rahtz, Sebastian Rahtz, 1999 Índice abreviado: 1.The Web, its documents, and LaTeX 2. Portable document format 3. The LaTeX2HTML translator 4. Translating LaTeX to HTML using TEXT4ht 5. Direct display of LaTeX on the Web 6. HTML, SGML, and XML: three markup languages 7. CSS, DSSSL, and XSL: doing it with style 8. MathML, intelligent math markup A. Example files B. Technical appendixes C. Internalization issues. |
| comma separated list math: Linux For Dummies Dee-Ann LeBlanc, 2004-01-30 Set up a great Linux system–no experience needed! Compare distributions, use Linux multimedia tools, and check out OpenOffice.org Ready to explore the wonderful world of Linux? This is the place to start! Just follow the advice in this handy guide, and in no time you’ll have your personalized Linux system installed and configured, know your way around the GNOMETM and KDETM interfaces, be hooked up to the Internet, and start impressing your friends. All this on the bonus DVD Full Fedora Core distribution, including source code, on DVD Discover how to: Work with popular Linux distributions: Red Hat’s Fedora, SuSE, and MandrakeTM Choose an ISP and configure dialup service Understand bash command syntax Install and use OpenOffice.org Manage the Linux file system |
| comma separated list math: Scientific Data Analysis using Jython Scripting and Java Sergei V. Chekanov, 2010-08-05 Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-analysis framework, the book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets (of around 10-20 lines each) written in Jython and Java, plus several real-life examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first data-analysis and data-mining book which is completely based on the Jython language, and opens doors to scripting using a fully multi-platform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book. |
| comma separated list math: JavaScript Pocket Reference David Flanagan, 2012-04-09 JavaScript is the ubiquitous programming language of the Web, and for more than 15 years, JavaScript: The Definitive Guide has been the bible of JavaScript programmers around the world. Ideal for JavaScript developers at any level, this book is an all-new excerpt of The Definitive Guide , collecting the essential parts of that hefty volume into this slim yet dense pocket reference. The first 9 chapters document the latest version (ECMAScript 5) of the core JavaScript language, covering: Types, values, and variables Operators, expressions, and statements Objects and arrays Functions and classes The next 5 chapters document the fundamental APIs for using JavaScript with HTML5 and explain how to: Interact with web browser windows Script HTML documents and document elements Modify and apply CSS styles and classes Respond to user input events Communicate with web servers Store data locally on the user's computer This book is a perfect companion to jQuery Pocket Reference . |
| comma separated list math: Programming in Python Pooja Sharma, 2020-04-09 An interactive way to introduce the world of Python Programming KEY FEATURES Detailed comparisons and differentiation of python language from other most popular languages C/C++/Java. Authentic and extensive set of programming illustrations in every chapter of the book. Broad study on all the programming constructs of the python programming language such as native data types, looping, decision making, exception handling, file handling etc. Broad study of Python Object Oriented Programming features with illustrations. Numerous review questions and exercises at the end of every chapter. DESCRIPTION This Book is meant for wide range of readers who wish to learn the basics of Python programming language. It can be helpful for students, programmers, researchers, and software developers. The basic concepts of python programming are dealt in detail. The various concepts of python language such as object-oriented features, operators, native data types, control structures, functions, exception handling, file handling, etc are discussed in detail with the authentic programming illustration of each. presently, python programming is a hot topic among academicianÕs researchers, and program developers. As a result, the book is designed to give an in-depth knowledge of programming in python. This book can be used as handbook as well as a guide for students of all computer science stream at any grade beginning from 10+1 to Research in PhD. To conclude, we hope that the readers will find this book a helpful guide and valuable source of information about python programming. WHAT WILL YOU LEARN Python Data Types, Input Output Operators and Expressions Control Structures Python Functions, Modules Exception Handling File Management, Classes and Objects Inheritance, Python Operator Overloading Ê WHO THIS BOOK IS FOR Students, Programmers, researchers, and software developers who wish to learn the basics of Python programming language. Ê Table of Contents 1. Introduction to Python Language 2. Python Data Types and Input Output 3. Operators and Expressions 4. Control Structures 5. Python Native Data Types 6. Python Functions 7. Python Modules 8. Exception Handling 9. File Management in Python 10. Classes and Objects 11. Inheritance 12. Python Operator Overloading |
| comma separated list math: Job Ready Java Haythem Balti, Alan Galloway, 2021-03-23 Prepare yourself to take on new and exciting Java programming challenges with this one-stop resource Job Ready Java delivers a comprehensive and foundational approach to Java that is immediately applicable to real-world environments. Based on the highly regarded and effective Software Guild Java Bootcamp: Object Oriented Programming course, this book teaches you the basic and advanced Java concepts you will need at any entry-level Java position. With the “Pulling It Together” sections, you’ll combine and integrate the concepts and lessons taught by the book, while also benefiting from: A thorough introduction to getting set up with Java, including how to write, compile, and run Java programs with or without a Java IDE Practical discussions of the basics of the Java language, including syntax, program flow, and code organization A walk through the fundamentals of Object-Oriented Programming including Classes, Objects, Interfaces, and Inheritance, and how to leverage OOP in Java to create elegant code. Explorations of intermediate and advanced Java concepts, including Maven , unit testing, Lambdas, Streams, and the Spring Framework Perfect for Java novices seeking to make a career transition, Job Ready Java will also earn a place in the libraries of Java developers wanting to brush up on the fundamentals of their craft with an accessible and up-to-date resource. |
| comma separated list math: The LaTeX Companion Frank Mittelbach, Ulrike Fischer, 2024-04-05 For nearly three decades The LaTeX Companion has been the essential resource for anyone using LaTeX to create high-quality documents. Just like the earlier editions, this completely updated third edition is designed to serve as the stable core resource for users: covering all aspects of document production, from detailed micro-typography questions and macro-typography (heading design, lists, mathematics, tables, graphics, fonts, page-layout, etc.) to bibliography and index production. All chapters have been thoroughly revised and in many cases largely extended to describe new important functionality and features. More than 5,000 add-on packages have been analyzed in detail, out of which roughly 10% have been chosen for inclusion in The LaTeX Companion. All important aspects of these packages are described to provide the user once again with a satisfying one-stop-shop experience for the decade to come. Following the concept of the earlier versions, the new edition is full of novel tips and tricks for using LaTeX in both traditional and modern typesetting, and also shows you how to customize layout features to your own needs--from phrases and paragraphs to headings, lists, and pages. Inside you will find: Expert advice on using LaTeX's formatting tools to create publications of all types and sizes--memos, articles, books, or even encyclopedias. In-depth coverage of all essential extension packages--e.g., for tabular and technical typesetting, floats and captions, multicolumn layouts, graphics, or font selection--including discussions of the underlying typographic and TeXnical concepts. Detailed techniques for generating and typesetting contents lists, bibliographies, indexes, etc. Full coverage of the latest packages for all types of documents--mathematical, multilingual, and many more. Tips and tricks for LaTeX programmers and systems support. Detailed help on all error messages, including those troublesome low-level TeX errors. New to this edition: Inclusion of, or more details on, important new or changed large-scale packages, e.g., biblatex, fontspec, hyperref, mathtools, siunitx, tcolorbox, tikz, and unicode-math, to name just a few. Coverage of newer engine developments, e.g., the use of Unicode engines with LaTeX. Discussion of all vital changes to LaTeX itself, which is undergoing a transformation to keep it relevant in the years to come. Examples are the new hook management system for LaTeX, the extended document command syntax, and the inclusion of the LaTeX3 programming layer into the LaTeX format. Inclusion of many new, useful (smaller) packages in all chapters--each offering additional functionality. Two new chapters devoted to the use of high-quality fonts for text and math (OpenType, TrueType, and Type 1), now available for use with LaTeX. They offer a comprehensive set of samples to choose from (more than 120 text font families and 40 math font layouts), compiled with the help of an expert font designer. Revised discussions of multi-lingual support by the authors of the babel system to typeset text from a wide range of languages and cultures. The chapter on bibliography generation now also covers the styles made available with biblatex and biber. More than 1,500 fully tested examples (an increase of 30%) that illustrate the text and solve typographical and technical problems--all ready to run! In short, the two parts of The LaTeX Companion, Third Edition, cover all you need to know about LaTeX use in the twenty-first century, while also offering expertly curated discussions of the best add-on packages now available--over 500 are covered! The examples can be downloaded from https://ctan.org/pkg/tlc3-examples. Register your book for convenient access to downloads, updates, and/or corrections as they become available. |
| comma separated list math: Principles of Object-Oriented Modeling and Simulation with Modelica 3.3 Peter Fritzson, 2015-01-06 Fritzson covers the Modelica language in impressive depth from the basic concepts such as cyber-physical, equation-base, object-oriented, system, model, and simulation, while also incorporating over a hundred exercises and their solutions for a tutorial, easy-to-read experience. The only book with complete Modelica 3.3 coverage Over one hundred exercises and solutions Examines basic concepts such as cyber-physical, equation-based, object-oriented, system, model, and simulation |
| comma separated list math: Google Maps JavaScript API Cookbook Alper Dincer, Balkan Uraz, 2013-12-26 Google Maps API Cookbook follows a fast-paced, high-level, structured cookbook approach, with minimal theory and an abundance of practical, real-world examples explained in a thorough yet concise manner to help you learn quickly and efficiently. Google Maps API Cookbook is for developers who wish to learn how to do anything from adding a simple embedded map to a website to developing complex GIS applications with the Google Maps JavaScript API. It is targeted at JavaScript developers who know how to get by but who are also seeking the immediacy of recipe-based advice. |
| comma separated list math: Learn coding with Python and JavaScript Joachim L. Zuckarelli, |
| comma separated list math: Beginning Java Objects Jacquie Barker, 2006-11-22 Export author Barker covers information key for proficiency with an OO programming language like Java, and shows how to really create reusable code and extensible applications. |
| comma separated list math: JavaScript: The Definitive Guide David Flanagan, 2011-04-18 A revised and updated edition offers comprehensive coverage of ECMAScript 5 (the new JavaScript language standard) and also the new APIs introduced in HTML5, with chapters on functions and classes completely rewritten and updated to match current best practices and a new chapter on language extensions and subsets |
| comma separated list math: OBJECT ORIENTED PROGRAMMING WITH C++ P. B. Kotur, 2012-05-25 Application development activity is becoming more and more complex and tedious day-by-day as the customers’ requirements are ever changing. To address their needs, the IT industry is focusing on newer ways of doing things and providing both cost and time advantage to the customers. Therefore, all of you who wish to be in the IT Industry and service the IT customers need to think innovatively and be ready to accept the change. If you have done C, now it is time to move on to C++. C++ is a super set of C language. It provides the C programmers the flavor of Object Orientation. With its object-oriented programmMing features like encapsulation, inheritance and polymorphism, C++ offers a number of benefits over the C language. The book titled Object-Oriented Programming with C++ is exclusively designed as per the syllabus of III semester B.E. (Computer Science & Engineering and Information Science Engineering) course framed by the Visveswaraiah Technological University, Belgaum. This book is to teach the students object-oriented programming concepts and C++. This book is written in simple and easily understandable style. The information provided in the book is also helpful for B.E., B.Sc., BCA, MCA and M.Tech students of all universities. This book contains 14 chapters; each chapter begins with a well-defined set of objectives, dis-cusses the various concepts with the sufficient number of Example Programs, summarizes and ends with exercises and multiple choice questions. The book provides more than 130 C++ programs which are executed on Windows with Turbo C++ compiler and Microsoft Visual C++ 2008 Express Edition. All C-style programs are run on Turbo C++ IDE and the new-style C++ programs are executed on Microsoft Visual C++ 2008 Express Edition. All programs of chapter 14 are developed and executed on Microsoft Visual C++ 2008 Express Edition. It is important that you will use the right compiler and understand the working of each program. I am more than happy to receive your suggestions and comments for further improvement of the book. |
| comma separated list math: Java Database Programming with JDBC Pratik Patel, Karl Moss, 1996 This text presents the JDBC standard, Java's database connectivity environment, and provides information for using Java with JDBC for accessing databases. The manual is designed for users who are learning database programming for the Internet or company In |
| comma separated list math: The The JavaScript Workshop Joseph Labrecque, Jahred Love, Daniel Rosenbaum, Nick Turner, Gaurav Mehla, Alonzo L. Hosford, Florian Sloot, Philip Kirkbride, 2019-11-29 Get to grips with the fundamentals of JavaScript and learn to build the programming skills that will kickstart your career as a software developer Key FeaturesLearn the basics of JavaScript programming to create dynamic web pagesExplore the fundamentals of back-end development using Node.jsTackle challenging development problems and apply solutions to real-world situationsBook Description If you're looking for a programming language to develop flexible and efficient apps, JavaScript is a great choice. However, while offering real benefits, the complexity of the entire JavaScript ecosystem can be overwhelming. This Workshop is a smarter way to learn JavaScript. It is specifically designed to cut through the noise and help build your JavaScript skills from scratch, while sparking your interest with engaging activities and clear explanations. Starting with explanations of JavaScript's fundamental programming concepts, this book will introduce the key tools, libraries and frameworks that programmers use in everyday development. You will then move on and see how to handle data, control the flow of information in an application, and create custom events. You'll explore the differences between client-side and server-side JavaScript, and expand your knowledge further by studying the different JavaScript development paradigms, including object-oriented and functional programming. By the end of this JavaScript book, you'll have the confidence and skills to tackle real-world JavaScript development problems that reflect the emerging requirements of the modern web. What you will learnWrite clean, maintainable and eloquent JavaScript codeBuild websites using plain JS and various frameworks and librariesSimplify your workflow with package managers such as Gulp and GruntUse Node.js to build server-side JavaScript applicationsImprove the functionality of your applications with browser APIsImplement asynchronous programming to build apps that can multitaskWho this book is for The JavaScript Workshop is the ideal guide to JavaScript for beginners. It is designed for anyone who wants to get started learning JavaScript. Whether you're an aspiring web developer, or are just curious about learning how to code with a versatile programming language, this book will help you get up and running. Previous development experience is not required, but basic prior knowledge of HTML and CSS will help you get the most from this book. |
| comma separated list math: Central European Functional Programming School Viktória Zsók, Zoltán Horváth, Rinus Plasmeijer, 2012-07-11 This volume presents the revised lecture notes of selected talks given at the Fourth Central European Functional Programming School, CEFP 2011, held in June 2011 in Budapest, Hungary. The 11 revised full papers presented were carefully reviewed by experts on functional programming and revised based on the reviews. The lectures cover a wide range of distributed and multicore functional programming subjects. The last 2 papers are selected papers of the PhD Workshop organized for the participants of the summer school. |
| comma separated list math: Taming Apache OpenOffice: Getting Started Jean Hollis Weber, 2013 Apache OpenOffice is a freely-available, full-featured office suite that runs on Windows, Linux, and Mac OS X computers. This book is for anyone who wants to get up to speed quickly with Apache OpenOffice.org 3.4. It introduces Writer (word processing), Calc (spreadsheets), Impress (presentations), Draw (vector drawings), Math (equation editor) and Base (database), as well as common features including styles, templates, printing, a gallery of graphics, and macros. |
| comma separated list math: Numerical Methods for Nonlinear Engineering Models John R. Hauser, 2009-03-24 There are many books on the use of numerical methods for solving engineering problems and for modeling of engineering artifacts. In addition there are many styles of such presentations ranging from books with a major emphasis on theory to books with an emphasis on applications. The purpose of this book is hopefully to present a somewhat different approach to the use of numerical methods for - gineering applications. Engineering models are in general nonlinear models where the response of some appropriate engineering variable depends in a nonlinear manner on the - plication of some independent parameter. It is certainly true that for many types of engineering models it is sufficient to approximate the real physical world by some linear model. However, when engineering environments are pushed to - treme conditions, nonlinear effects are always encountered. It is also such - treme conditions that are of major importance in determining the reliability or failure limits of engineering systems. Hence it is essential than engineers have a toolbox of modeling techniques that can be used to model nonlinear engineering systems. Such a set of basic numerical methods is the topic of this book. For each subject area treated, nonlinear models are incorporated into the discussion from the very beginning and linear models are simply treated as special cases of more general nonlinear models. This is a basic and fundamental difference in this book from most books on numerical methods. |
| comma separated list math: Digital Typography Using LaTeX Apostolos Syropoulos, Antonis Tsolomitis, Nick Sofroniou, 2007-08-22 Using clear and concise language this book introduces new users to the use of the TeX system, in particular document preparation using LaTeX. It avoids the pitfalls of having to search through several advanced books on the subject, by collecting together the more frequently required tools and presenting these in a single accessible volume. It also describes the recent developments in multilingual typesetting using TeX that now make it straightforward for users to prepare documents in their own language and alphabet, giving the book a global readership. Topics include: multi-lingual uses of LaTeX; discussion of hardware implementations; use and misuse of particular LaTeX commands; and many others. |
| comma separated list math: Artificial Intelligence: Methodology, Systems, and Applications Darina Dicheva, Danail Dochev, 2010-09-03 The 14th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2010) was held in Varna, Bulgaria, during September 8–10, 2010. The AIMSA conference series has provided a biennial forum for the presen- tion of artificial intelligence research and development since 1984. The conference covers the full range of topics in artificial intelligence (AI) and related disciplines and provides an ideal forum for international scientific exchange between Central/Eastern Europe and the rest of the world. The 2010 AIMSA edition continued this tradition. For AIMSA 2010, we decided to place special emphasis on the application and leverage of AI technologies in the context of knowledge societies where knowledge creation, accessing, acquiring, and sharing empower individuals and communities. A number of AI techniques play a key role in responding to these challenges. AI is - tensively used in the development of systems for effective management and flexible and personalized access to large knowledge bases, in the Semantic Web technologies that enable sharing and reuse of and reasoning over semantically annotated resources, in the emerging social Semantic Web applications that aid humans to collaboratively build semantics, in the construction of intelligent environments for supporting (human and agent) learning, etc. In building such intelligent applications, AI techniques are typically combined with results from other disciplines such as the social sciences, distributed systems, databases, digital libraries, information retrieval, service-oriented applications, etc. |
| comma separated list math: Introduction to Scientific Programming with Python Joakim Sundnes, 2020 This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies. |
| comma separated list math: Visual C++ .NET Harvey M. Deitel, 2004 Written by the authors of the world's best-selling introductory/intermediate C and C++ textbooks, this comprehensive book examines Visual C++ .NET. Visual C++ .NET How to Program features the Deitels' signature LIVE-CODE approach to teaching programming with thousands of lines of code in hundreds of complete working programs. Start with an introduction to computers and Visual C++ .NET programming, then move on to more advanced topics such as graphical user interfaces (GUIs), multimedia, databases, and networking. Learn how to create reusable software components with classes and assemblies. Create database connections using ADO.NET, create Web-based applications using ATL Server and create Web services using ASP .NET and ATL server. The book features detailed LIVE-CODE examples that illustrate managed C++ code, highlight crucial files and streams concepts, show how to create custom GUI controls, demonstrate how to use sockets to hide network details, show real examples of Web services in action, demonstrate attributed programming in ATL/COM, illustrate COM components, and illustrate several substantial case studies. Benefit from the Deitels' outstanding and consistent pedagogy with icons that highlight good programming practices, common errors, software engineering observations, portability tips, performance tips, and testing and debugging tips. For anyone interested in learning how to program Visual C++ .NET.Previously appeared in 12/2002 catalog. |
| comma separated list math: Python Chris Fehily, 2002 Named after the Monty Python comedy troupe, Python is an interpreted, open-source, object-oriented programming language. It's also free and runs portably on Windows, Mac OS, Unix, and other operating systems. Python can be used for all manner of programming tasks, from CGI scripts to full-fledged applications. It is gaining popularity among programmers in part because it is easier to read (and hence, debug) than most other programming languages, and it's generally simpler to install, learn, and use. Its line structure forces consistent indentation. Its syntax and semantics make it suitable for simple scripts and large programs. Its flexible data structures and dynamic typing allow you to get a lot done in a few lines. To learn it, you'll need is some basic programming experience and a copy of Python: Visual QuickStart Guide. In patented Visual QuickStart Guide fashion, the book doesn't just tell you how to use Python to develop applications, it shows you, breaking Python into easy-to-digest, step-by-step tasks and providing example code. Python: Visual QuickStart Guide emphasizes the core language and libraries, which are the building blocks for programs. Author Chris Fehily starts with the basics - expressions, statements, numbers, strings - then moves on to lists, dictionaries, functions, and modules before wrapping things up with straightforward discussions of exceptions and classes. Some additional topics covered include: - Object-oriented programming- Working in multiple operating systems- Structuring large programs- Comparing Python to C, Perl, and Java- Handling errors gracefully. |
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