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| delta math class code: Building JavaScript Games Arjan Egges, 2014-09-30 Building JavaScript Games teaches game programming through a series of engaging, arcade-style games that quickly expand your JavaScript and HTML5 skills. JavaScript is in the top ten most-used programming languages world wide, and is the basis for applications that can run in any modern browser, on any device from smart phone to tablet to PC. Especial emphasis is given to touch-based interface, but all games also run using a regular mouse and keyboard setup. The four games you’ll develop from reading this book are: Painter Jewel Jam Penguin Pairs Tick Tick These four games are casual, arcade-style games representing the aim-and-shoot, puzzle, maze, and platform styles of game play. The approach in Building JavaScript Games follows the basic structure of a game rather than the syntax of a language. From almost the very first chapter you are building games to run on your phone or other device and show to your friends. Successive projects teach about handling player input, manipulating game objects, designing game worlds, managing levels, and realism through physics. All told, you’ll develop four well-designed games, making Building JavaScript Games one of the most enjoyable ways there is to learn about programming browser-based games. The final chapters in the book contain a very nice bonus of sorts. In them you will find excerpts from interviews with two prominent people from the game industry: Mark Overmars, who is CTO of Tingly Games and creator of GameMaker, and Peter Vesterbacka, the CMO of Rovio Entertainment - the creators of the Angry Birds franchise. Their insight and perspective round off what is already a fun and valuable book. |
| delta math class code: HTML5 Programmer's Reference Jonathan Reid, 2015-07-10 The HTML5 Programmer’s Reference aims to provide everything a programmer needs for understanding and using the new HTML5 family of standards. Previous HTML standards were focused on defining tags for marking up documents. The HTML5 family of standards not only includes new semantic tags but also defines exciting new JavaScript APIs that can be used to build rich, interactive web applications for both mobile and desktop platforms. The HTML5 Programmer’s Reference focuses on providing real-world non-trivial examples to demonstrate concepts. Chapters include both in-depth discussions and full references for all HTML5 features, as well as extras like how to find the standards, the history of their evolution, and other examples and helpful resources. With this book the reader will learn everything they need to know to build the next generation of web applications. |
| delta math class code: The College Sourcebook for Students with Learning & Developmental Differences Midge Lipkin, 2009 |
| delta math class code: Practical Numerical Methods with C# Jack Xu, 2019 The second edition of this book builds all the code example within a single project by incorporating new advancements in C# .NET technology and open-source math libraries. It also uses C# Interactive Window to test numerical computations without compiling or running the complete project code. The second edition includes three new chapters, including Plotting, Fourier Analysis and Math Expression Parser. As in the first edition, this book presents an in-depth exposition of the various numerical methods used in real-world scientific and engineering computations. It emphasizes the practical aspects of C# numerical methods and mathematical functions programming, and discusses various techniques in details to enable you to implement these numerical methods in your .NET application. Ideal for scientists, engineers, and students who would like to become more adept at numerical methods, the second edition of this book covers the following content: - Overview of C# programming. - The mathematical background and fundamentals of numerical methods. - plotting the computation results using a 3D chart control. - Math libraries for complex numbers and functions, real and complex vector and matrix operations, and special functions. - Numerical methods for generating random numbers and random distribution functions. - Various numerical methods for solving linear and nonlinear equations. - Numerical differentiation and integration. - Interpolations and curve fitting. - Optimization of single-variable and multi-variable functions with a variety of techniques, including advanced simulated annealing and evolutionary algorithms. - Numerical techniques for solving ordinary differential equations. - Numerical methods for solving boundary value problems. - Eigenvalue problems. - Fourier analysis. - mathematical expression parser and evaluator. In addition, this book provides testing examples for every math function and numerical method to show you how to use these functions and methods in your own .NET applications in a manageable and step-by-step fashion. Please visit the author's website for more information about this book at https://drxudotnet.com https://drxudotnet.com and https://gincker.com. |
| delta math class code: C# for Financial Markets Daniel J. Duffy, Andrea Germani, 2013-01-14 A practice-oriented guide to using C# to design and program pricing and trading models In this step-by-step guide to software development for financial analysts, traders, developers and quants, the authors show both novice and experienced practitioners how to develop robust and accurate pricing models and employ them in real environments. Traders will learn how to design and implement applications for curve and surface modeling, fixed income products, hedging strategies, plain and exotic option modeling, interest rate options, structured bonds, unfunded structured products, and more. A unique mix of modern software technology and quantitative finance, this book is both timely and practical. The approach is thorough and comprehensive and the authors use a combination of C# language features, design patterns, mathematics and finance to produce efficient and maintainable software. Designed for quant developers, traders and MSc/MFE students, each chapter has numerous exercises and the book is accompanied by a dedicated companion website, www.datasimfinancial.com/forum/viewforum.php?f=196&sid=f30022095850dee48c7db5ff62192b34, providing all source code, alongside audio, support and discussion forums for readers to comment on the code and obtain new versions of the software. |
| delta math class code: A Concise and Practical Introduction to Programming Algorithms in Java Frank Nielsen, 2009-04-05 A Concise and Practical Introduction to Programming Algorithms in Java has two main goals. The first is for novice programmers to learn progressively the basic concepts underlying most imperative programming languages using Java. The second goal is to introduce new programmers to the very basic principles of thinking the algorithmic way and turning the algorithms into programs using the programming concepts of Java. The book is divided into two parts and includes: The fundamental notions of variables, expressions and assignments with type checking - Conditional and loop statements - Explanation of the concepts of functions with pass-by-value arguments and recursion - Fundamental sequential and bisection search techniques - Basic iterative and recursive sorting algorithms. Each chapter of the book concludes with a set of exercises to enable students to practice concepts covered. |
| delta math class code: Practical WPF Charts and Graphics Jack Xu, 2010-08-11 Creating 2D and 3D charts is one of the most common uses of computer graphics. Such charts can have wide applications in representing mathematical, physical, and economic functions in your daily life. Whether you are an engineer, a quantitative analyst, a teacher, or a student, you will end up dealing with charting applications to some degree. Windows Presentation Foundation (WPF) is a next-generation graphics platform that enables you to build advanced user interfaces incorporating documents, media, 2D and 3D graphics, and animations. It is an ideal development tool that allows you to not only generate data, but also easily represent data graphically. Practical WPF Charts and Graphics provides all the tools you will need to develop professional chart and graphics applications in WPF and C#. This book will be useful for WPF and C# programmers of all skill levels, providing a complete and comprehensive explanation of WPF's graphics capability and the creation of various charts, and paying special attention to the details of code implementation. |
| delta math class code: Practical C# and WPF For Financial Markets Jack Xu, 2016-12-05 Practical C# and WPF for Financial Markets provides a complete explanation of .NET programming in quantitative finance. It demonstrates how to implement quant models and back-test trading strategies. It pays special attention to creating business applications and reusable C# libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: • Overview of C#, WPF programming, data binding, and MVVM pattern, which is necessary to create MVVM compatible .NET financial applications. • Step-by-step approaches to create a variety of MVVM compatible 2D/3D charts, stock charts, and technical indicators using my own chart package and Microsoft chart control. • Introduction to free market data retrieval from online data sources using .NET interfaces. These data include EOD, real-time intraday, interest rate, foreign exchange rate, and option chain data. • Detailed procedures to price equity options and fixed-income instruments, including European/American/Barrier options, bonds, and CDS, as well as discussions on related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. • Introduction to linear analysis, time series analysis, and machine learning in finance, which covers linear regression, PCA, SVM, and neural networks. • In-depth descriptions of trading strategy development and back-testing, including strategies for single stock trading, stock pairs trading, and trading for multi-asset portfolios. |
| delta math class code: A Dedicated Endstation for Waveguide-based X-ray Imaging Sebastian Kalbfleisch, 2013 |
| delta math class code: Pushing Limits Ted Hill, 2017-04-03 Pushing Limits: From West Point to Berkeley and Beyond challenges the myth that mathematicians lead dull and ascetic lives. It recounts the unique odyssey of a noted mathematician who overcame military hurdles at West Point, Army Ranger School and the Vietnam War, and survived many civilian escapades—hitchhiking in third-world hotspots, fending off sharks in Bahamian reefs, and camping deep behind the forbidding Iron Curtain. From ultra-conservative West Point in the ’60s to ultra-radical Berkeley in the ’70s, and ultimately to genteel Georgia Tech in the ’80s, this is the tale of an academic career as noteworthy for its offbeat adventures as for its teaching and research accomplishments. It brings to life the struggles and risks underlying mathematical research, the unparalleled thrill of making scientific breakthroughs, and the joy of sharing those discoveries around the world. Hill's book is packed with energy, humor, and suspense, both physical and intellectual. Anyone who is curious about how one maverick mathematician thinks, who wants to relive the zanier side of the ’60s and ’70s, who wants an armchair journey into the third world, or who seeks an unconventional view of several of society's iconic institutions, will be drawn to this book. |
| delta math class code: Algorithms Robert Sedgewick, Kevin Wayne, 2011 The standard algorithm guide for working programmers. It has been thoroughly updated to reflect today's latest, most powerful algorithms. |
| delta math class code: Programming in Lua Roberto Ierusalimschy, 2006 Authored by Roberto Ierusalimschy, the chief architect of the language, this volume covers all aspects of Lua 5---from the basics to its API with C---explaining how to make good use of its features and giving numerous code examples. (Computer Books) |
| delta math class code: Introduction to Programming in Java Robert Sedgewick, Kevin Wayne, 2017-04-04 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Applications from applied math, physics, chemistry, biology, and computer science Drawing on their extensive classroom experience, throughout the text the authors provide Q&As, exercises, and opportunities for creative engagement with the material. Together with the companion materials described below, this book empowers people to pursue a modern approach to teaching and learning programming. Companion web site (introcs.cs.princeton.edu/java) contains Chapter summaries Supplementary exercises, some with solutions Detailed instructions for installing a Java programming environment Program code and test data suitable for easy download Detailed creative exercises, projects, and other supplementary materials Companion studio-produced online videos (informit.com/sedgewick) are available for purchase and provide students and professionals with the opportunity to engage with the material at their own pace and give instructors the opportunity to spend their time with students helping them to succeed on assignments and exams. Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available. |
| delta math class code: Learning ActionScript 3.0 Rich Shupe, Zevan Rosser, 2010-10-18 If you're new to ActionScript 3.0, or want to enhance your skill set, this bestselling book is the ideal guide. Designers, developers, and programmers alike will find Learning ActionScript 3.0 invaluable for navigating ActionScript 3.0's learning curve. You'll learn the language by getting a clear look at essential topics such as logic, event handling, displaying content, classes, and much more. Updated for Flash Professional CS5, this revised and expanded edition delivers hands-on exercises and full-color code samples to help you increase your abilities as you progress through the book. Topics are introduced with basic syntax and class-based examples, so you can set your own pace for learning object-oriented programming. Harness the power and performance of ActionScript 3.0 Control sound and video, including new access to microphone data Create art with code by drawing vectors and pixels at runtime Manipulate text with unprecedented typographic control Animate graphics, create particle systems, and apply simple physics Avoid common coding mistakes and reuse code for improved productivity Load SWF, image, text, HTML, CSS, and XML file formats, and more Authors Rich Shupe and Zevan Rosser draw on their experience as Flash developers and instructors to give you a solid ActionScript foundation, revealing ways you can use code for practical, everyday projects. |
| delta math class code: 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. |
| delta math class code: Learning Android Application Testing Paul Blundell, Diego Torres Milano, 2015-03-26 If you are an Android developer looking to test your applications or optimize your application development process, then this book is for you. No previous experience in application testing is required. |
| delta math class code: Algorithms and Data Structures for Massive Datasets Dzejla Medjedovic, Emin Tahirovic, 2022-08-16 Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy. About the technology Standard algorithms and data structures may become slow—or fail altogether—when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost. This unique book distills cutting-edge research papers into practical techniques for sketching, streaming, and organizing massive datasets on-disk and in the cloud. About the book Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand. You’ll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases. What's inside Probabilistic sketching data structures Choosing the right database engine Designing efficient on-disk data structures and algorithms Algorithmic tradeoffs in massive-scale systems Computing percentiles with limited space resources About the reader Examples in Python, R, and pseudocode. About the author Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany. Table of Contents 1 Introduction PART 1 HASH-BASED SKETCHES 2 Review of hash tables and modern hashing 3 Approximate membership: Bloom and quotient filters 4 Frequency estimation and count-min sketch 5 Cardinality estimation and HyperLogLog PART 2 REAL-TIME ANALYTICS 6 Streaming data: Bringing everything together 7 Sampling from data streams 8 Approximate quantiles on data streams PART 3 DATA STRUCTURES FOR DATABASES AND EXTERNAL MEMORY ALGORITHMS 9 Introducing the external memory model 10 Data structures for databases: B-trees, Bε-trees, and LSM-trees 11 External memory sorting |
| delta math class code: Catalog of Nonresident Training Courses United States. Naval Education and Training Command, 1996 |
| delta math class code: OpenCV for Secret Agents Joseph Howse, 2015-01-28 This book is for programmers who want to expand their skills by building fun, smart, and useful systems with OpenCV. The projects are ideal in helping you to think creatively about the uses of computer vision, natural user interfaces, and ubiquitous computers (in your home, car, and hand). |
| delta math class code: Professional Papervision3D Michael Lively, 2010-04-13 Professional Papervision3D describes how Papervision3D works and how real world applications are built, with a clear look at essential topics such as building websites and games, creating virtual tours, and Adobe's Flash 10. Readers learn important techniques through hands-on applications, and build on those skills as the book progresses. The companion website contains all code examples, video step-by-step explanations, and a collada repository. |
| delta math class code: Honored but Invisible W. Norton Grubb, 2002-06-01 Based on the most extensive research on community college teaching to date, this book examines the nature of teaching and the institutional forces that shape it in a variety of course settings, ranging from innovative approaches to complex subjects to conventional didactic instruction. Drawing on observations of and interviews with over 300 instructors and administrators, this book documents the idiosyncratic instructional practices of teachers who learn to teach primarily by trial and error. It argues that in order to realize their enormous potential, community colleges must take greater advantage of the many institutional influences on the quality of teaching--such as personnel policies, instructor training, and the culture established by administrators--only then will they be able to successfully carry out their many roles in both mainstream education and in workforce development. |
| delta math class code: Effective Python Brett Slatkin, 2024-11-27 Master the art of Python programming with 125 actionable best practices to write more efficient, readable, and maintainable code. Python is a versatile and powerful language, but leveraging its full potential requires more than just knowing the syntax. Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is your comprehensive guide to mastering Python's unique strengths and avoiding its hidden pitfalls. This updated edition builds on the acclaimed second edition, expanding from 90 to 125 best practices that are essential for writing high-quality Python code. Drawing on years of experience at Google, Brett Slatkin offers clear, concise, and practical advice for both new and experienced Python developers. Each item in the book provides insight into the Pythonic way of programming, helping you understand how to write code that is not only effective but also elegant and maintainable. Whether you're building web applications, analyzing data, writing automation scripts, or training AI models, this book will equip you with the skills to make a significant impact using Python. Key Features of the 3rd Edition: Expanded Content: Now with 125 actionable guidelines, including 35 entirely new items. Updated Best Practices: Reflects the latest features in Python releases up to version 3.13. New Chapters: Additional chapters on how to build robust programs that achieve high performance. Advanced Topics: In-depth coverage of creating C-extension modules and interfacing with native shared libraries. Practical Examples: Realistic code examples that illustrate each best practice. |
| delta math class code: Numerical Python Robert Johansson, 2018-12-24 Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. What You'll Learn Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its related ecosystem for numerical computing. |
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| delta math class code: Programming Windows Charles Petzold, 2013-01-15 Reimagined for full-screen and touch-optimized apps, Windows 8 provides a platform for reaching new users in new ways. In response, programming legend Charles Petzold is rewriting his classic Programming Windows—one of the most popular programming books of all time—to show developers how to use existing skills and tools to build Windows 8 apps. Programming Windows, Sixth Edition focuses on creating Windows 8 apps accessing the Windows Runtime with XAML and C#. The book also provides C++ code samples. The Sixth Edition is organized in two parts: Part I, “Elementals,” begins with the interrelationship between code and XAML, basic event handling, dynamic layout, controls, templates, asynchronous processing, the application bar, control customization, and collections. You should emerge from Part I ready to create sophisticated page-oriented collection-based user interfaces using the powerful ListView and GridView controls. Part II, “Specialties,” explores topics you might not need for every program but are essential to a well-rounded education in Windows 8. These include multitouch, bitmap graphics, interfacing with share and search facilities, printing, working with the sensors (GPS and orientation), text, obtaining input from the stylus (including handwriting recognition), accessing web services, calling Win32 and DirectX functions, and bringing your application to the Windows 8 app store. |
| delta math class code: Extreme Programming and Agile Processes in Software Engineering Michele Marchesi, Giancarlo Succi, 2003-05-13 The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R & D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. Book jacket. |
| delta math class code: Hardcore Programming for Mechanical Engineers Angel Sola Orbaiceta, 2021-06-22 Hardcore Programming for Mechanical Engineers is for intermediate programmers who want to write good applications that solve tough engineering problems – from scratch. This book will teach you how to solve engineering problems with Python. The “hardcore” approach means that you will learn to get the correct results by coding everything from scratch. Forget relying on third-party software – there are no shortcuts on the path to proficiency. Instead, using familiar concepts from linear algebra, geometry and physics, you’ll write your own libraries, draw your own primitives, and build your own applications. Author Angel Sola covers core programming techniques mechanical engineers need to know, with a focus on high-quality code and automated unit testing for error-free implementations. After basic primers on Python and using the command line, you’ll quickly develop a geometry toolbox, filling it with lines and shapes for diagramming problems. As your understanding grows chapter-by-chapter, you’ll create vector graphics and animations for dynamic simulations; you’ll code algorithms that can do complex numerical computations; and you’ll put all of this knowledge together to build a complete structural analysis application that solves a 2D truss problem – similar to the software projects conducted by real-world mechanical engineers. You'll learn: • How to use geometric primitives, like points and polygons, and implement matrices • Best practices for clean code, including unit testing, encapsulation, and expressive names • Processes for drawing images to the screen and creating animations inside Tkinter’s Canvas widget • How to write programs that read from a file, parse the data, and produce vector images • Numerical methods for solving large systems of linear equations, like the Cholesky decomposition algorithm |
| delta math class code: External Procedures, Triggers, and User-Defined Functions on IBM DB2 for i Hernando Bedoya, Fredy Cruz, Daniel Lema, Satid Singkorapoom, IBM Redbooks, 2016-04-25 Procedures, triggers, and user-defined functions (UDFs) are the key database software features for developing robust and distributed applications. IBM Universal DatabaseTM for i (IBM DB2® for i) supported these features for many years, and they were enhanced in V5R1, V5R2, and V5R3 of IBM® OS/400® and V5R4 of IBM i5/OSTM. This IBM Redbooks® publication includes several of the announced features for procedures, triggers, and UDFs in V5R1, V5R2, V5R3, and V5R4. This book includes suggestions, guidelines, and practical examples to help you effectively develop IBM DB2 for i procedures, triggers, and UDFs. The following topics are covered in this book: External stored procedures and triggers Java procedures (both Java Database Connectivity (JDBC) and Structured Query Language for Java (SQLJ)) External triggers External UDFs This publication also offers examples that were developed in several programming languages, including RPG, COBOL, C, Java, and Visual Basic, by using native and SQL data access interfaces. This book is part of the original IBM Redbooks publication, Stored Procedures, Triggers, and User-Defined Functions on DB2 Universal Database for iSeries, SG24-6503-02, that covered external procedures, triggers, and functions, and also SQL procedures, triggers, and functions. All of the information that relates to external routines was left in this publication. All of the information that relates to SQL routines was rewritten and updated. This information is in the new IBM Redbooks publication, SQL Procedures, Triggers, and Functions on IBM DB2 for i, SG24-8326. This book is intended for anyone who wants to develop IBM DB2 for i procedures, triggers, and UDFs. Before you read this book, you need to know about relational database technology and the application development environment on the IBM i server. |
| delta math class code: Java by Dissection Charlie McDowell, Ira Pohl, 2006 This thorough introduction to the Java programming process features carefully developed working programs that clarify key features of the Java language. Each chapter includes executable complete programs and full working explanations. |
| delta math class code: A Survey of Computational Physics Rubin H. Landau, José Páez, Manuel José Páez Mejía, Cristian C. Bordeianu, 2008-07-21 This book presents a broad survey of many of the topics that constitute modern computational science. Its view is as a multidisciplinary subject combining aspects of physics, applied mathematics and computer science. |
| delta math class code: Complete Book of Colleges, 2005 Edition Princeton Review (Firm), 2004-07-20 Up-to-date information on 1,780 colleges and universities. |
| delta math class code: Introduction to C++ for Financial Engineers Daniel J. Duffy, 2013-10-24 This book introduces the reader to the C++ programming language and how to use it to write applications in quantitative finance (QF) and related areas. No previous knowledge of C or C++ is required -- experience with VBA, Matlab or other programming language is sufficient. The book adopts an incremental approach; starting from basic principles then moving on to advanced complex techniques and then to real-life applications in financial engineering. There are five major parts in the book: C++ fundamentals and object-oriented thinking in QF Advanced object-oriented features such as inheritance and polymorphism Template programming and the Standard Template Library (STL) An introduction to GOF design patterns and their applications in QF Applications The kinds of applications include binomial and trinomial methods, Monte Carlo simulation, advanced trees, partial differential equations and finite difference methods. This book includes a companion website with all source code and many useful C++ classes that you can use in your own applications. Examples, test cases and applications are directly relevant to QF. This book is the perfect companion to Daniel J. Duffy’s book Financial Instrument Pricing using C++ (Wiley 2004, 0470855096 / 9780470021620) |
| delta math class code: Beginning Android Games Mario Zechner, J. F. DiMarzio, Robert Green, 2016-12-08 Learn all of the basics needed to join the ranks of successful Android game developers. You'll start with game design fundamentals and Android programming basics, and then progress toward creating your own basic game engine and playable game apps that work on Android smartphones and tablets. Beginning Android Games, Third Edition gives you everything you need to branch out and write your own Android games for a variety of hardware. Do you have an awesome idea for the next break-through mobile gaming title? Beginning Android Games will help you kick-start your project. This book will guide you through the process of making several example game apps using APIs available in Android. What You'll Learn Gain the fundamentals of game programming in the context of the Android platform Use Android's APIs for graphics, audio, and user input to reflect those fundamentals Develop two 2D games from scratch, based on Canvas API and OpenGL ES Create a full-featured 3D game Publish your games, get crash reports, and support your users Complete your own playable 2D OpenGL games Who This Book Is For People with a basic knowledge of Java who want to write games on the Android platform. It also offers information for experienced game developers about the pitfalls and peculiarities of the platform. |
| delta math class code: Electrical & Electronics Abstracts , 1994 |
| delta math class code: Javascript: Object Oriented Programming Ved Antani, Gaston C. Hillar, Stoyan Stefanov, Kumar Chetan Sharma, 2016-08-31 Build sophisticated web applications by mastering the art of Object-Oriented Javascript About This Book Learn popular Object-Oriented programming (OOP) principles and design patterns to build robust apps Implement Object-Oriented concepts in a wide range of frontend architectures Capture objects from real-world elements and create object-oriented code that represents them Learn the latest ES6 features and how to test and debug issues with JavaScript code using various modern mechanisms Who This Book Is For JavaScript developers looking to enhance their web developments skills by learning object-oriented programming. What You Will Learn Get acquainted with the basics of JavaScript language constructs along with object-oriented programming and its application. Learn to build scalable server application in JavaScript using Node.js Generate instances in three programming languages: Python, JavaScript, and C# Work with a combination of access modifiers, prefixes, properties, fields, attributes, and local variables to encapsulate and hide data Master DOM manipulation, cross-browser strategies, and ES6 Identify and apply the most common design patterns such as Singleton, Factory, Observer, Model-View-Controller, and Mediator Patterns Design applications using a modular architecture based on SOLID principles In Detail JavaScript is the behavior, the third pillar in today's paradigm that looks at web pages as something that consists of : content (HTML), presentation (CSS), and behavior (JavaScript). Using JavaScript, you can create interactive web pages along with desktop widgets, browser, and application extensions, and other pieces of software. Object-oriented programming, which is popularly known as OOP, is basically based on the concept of objects rather than actions. The first module will help you master JavaScript and build futuristic web applications. You will start by getting acquainted with the language constructs and how to organize code easily. You develop concrete understanding of variable scoping, loops, and best practices on using types and data structures, as well as the coding style and recommended code organization patterns in JavaScript. The book will also teach you how to use arrays and objects as data structures. By the end of the book, you will understand how reactive JavaScript is going to be the new paradigm. The second module is an easy-to-follow course, which includes hands-on examples of solutions to common problems with object-oriented code. It will help to identify objects from real-life scenarios, to protect and hide data with the data encapsulation features of Python, JavaScript, and C#. You will discover the advantage of duck typing in both Python and JavaScript, while you work with interfaces and generics in C#. With a fair understanding of interfaces, multiple inheritance, and composition, you will move on to refactor existing code and to organize your source for easy maintenance and extension. The third module takes you through all the in-depth and exciting futures hidden behind the facade. You should read through this course if you want to be able to take your JavaScript skills to a new level of sophistication. Style and approach This course is a comprehensive guide where each chapter consists of best practices, constructive advice, and few easy-to-follow examples that will build up your skills as you advance through the book. Get object oriented with this course, which takes you on a journey to get acquainted with few useful hands-on tools, features, and ways to enhance your productivity using OOP techniques. It will also act as a reference guide with useful examples on resolving problems with object-oriented code in Python, JavaScript, and C#. |
| delta math class code: Flash 3D Cheats Most Wanted Gerald YardFace, Aral Balkan, James Dean Palmer, Jared Tarbell, Brian Monnone, Anthony Eden, Josh Dura, 2008-01-01 Those who are quite comfortable with Flash MX and know a little ActionScript, will enjoy this book. It provides detailed step-by-step tutorials, and boasts complete technical support from the friends of ED website. |
| delta math class code: Handbook of Typography for the Mathematical Sciences Steven G. Krantz, 2000-08-31 You know mathematics. You know how to write mathematics. But do you know how to produce clean, clear, well-formatted manuscripts for publication? Do you speak the language of publishers, typesetters, graphics designers, and copy editors? Your page design-the style and format of theorems and equations, running heads and section headings, page |
| delta math class code: Rise of the Rocket Girls Nathalia Holt, 2016-04-05 The riveting true story of the women who launched America into space. In the 1940s and 50s, when the newly minted Jet Propulsion Laboratory needed quick-thinking mathematicians to calculate velocities and plot trajectories, they didn't turn to male graduates. Rather, they recruited an elite group of young women who, with only pencil, paper, and mathematical prowess, transformed rocket design, helped bring about the first American satellites, and made the exploration of the solar system possible. For the first time, Rise of the Rocket Girls tells the stories of these women -- known as human computers -- who broke the boundaries of both gender and science. Based on extensive research and interviews with all the living members of the team, Rise of the Rocket Girls offers a unique perspective on the role of women in science: both where we've been, and the far reaches of space to which we're heading. If Hidden Figures has you itching to learn more about the women who worked in the space program, pick up Nathalia Holt's lively, immensely readable history, Rise of the Rocket Girls. -- Entertainment Weekly |
| delta math class code: iPhone and iPad Apps for Absolute Beginners Rory Lewis, 2011-01-27 The iPhone is the hottest gadget of our generation, and much of its success has been fueled by the App Store, Apple’s online marketplace for iPhone applications. Over 1 billion apps have been downloaded in the 9 months the App Store has been open, ranging from the simplest games to the most complex business apps. Everyone has an idea for the next best-selling iPhone app—presumably that’s why you’re reading this now. And with the release of the iPad, this demand will just continue to grow. So how do you build an application for the iPhone and iPad? Don’t you need to spend years learning complicated programming languages? What about Objective-C, Cocoa Touch, and the software development kit (SDK)? The answer is that you don’t need to know any of those things. Anybody can start building simple applications for the iPhone and iPad, and this book will show you how. This book takes you to getting your first applications up and running using plain English and practical examples. It cuts through the fog of jargon and misinformation that surrounds iPhone and iPad application development, and gives you simple, step-by-step instructions to get you started. Teaches iPhone and iPad application development in language anyone can understand Provides simple, step-by-step examples that make learning easy Offers videos that enable you to follow along with the author—it’s like your own private classroom |
| delta math class code: Delta Mathematics David Barton, Anna Cox, 2013-07-09 |
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