"JDBC Recipes" provides easy-to-implement, usable solutions to problems in relational databases that use JDBC. You will be able to integrate these solutions into your web-based applications, such as Java servlets, JavaServer Pages, and Java server-side frameworks. This handy book allows you to cut and paste the solutions without any code changes.

This book focuses on topics that have been ignored in most other JDBC books, such as database and result set metadata. It will help you develop database solutions, like adapters, connectors, and frameworks using Java/JDBC. The insightful solutions will enable you to handle all data types, including large binary objects. A unique feature of the book is that it presents JDBC solutions (result sets) in XML.

This title instructs the reader how to script dynamic web pages using the popular jQuery JavaScript library, giving complete examples that illustrate each aspect with colourised source code.

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions. As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives: Demonstrate how to extract actionable, insightful, and useful information from survey data; and Introduce Python and Pandas for analyzing survey data.

The UML, or Unified Modeling Language, is the de facto standard adopted by the Object Management Group (OMG) and by almost all vendors of object modeling tools. The Unified Process is explicitly designed to work with the UML and is a whole design method covering the majority of the life cycle of a software product. John Hunt's book guides you through the use of the UML and the Unified Process and their application to Java systems. Key Topics Focusing explicitly on applying the notation and the method to Java, the book is clearly written to appeal to practitioners. This second edition is considerably revised and extended and includes examples taken from the latest version of Rational Rose and Together. All the UML references are updated to the latest version and the Patterns chapter has been expanded to include J2EE examples. New chapters are included showing how the Unified Process can be used in real world projects and project management, and there is comprehensive coverage of Agile Modeling. - A truly practical introduction to object oriented analysis and design using the Unified Process. Where necessary the UML is introduced, to support the Unified Process steps. - Good coverage of Design Patterns and how they integrate into Java development- Focuses on the real world use of UML and the Unified Process via a detailed case study that follows the whole design process through from the initial setting up, to implementation in Java and Agile Modeling- Features and Benefits - How to use the Unified Process in real world projects - Covers the Unified Process and UML in one book - A concise and accessible step-by-step guide to applying the Unified Process and UML in Java - Explains Design Patterns and discusses how Agile Modeling fits with the Unified Process John Hunt is Technical Director at JayDee Technology Ltd. He runs industrial courses, including server-side Java technologies. He also leads development projects for government and blue chip organizations using Java, J2EE, XML and C#. He is the author of nine other books on Java, XML and object orientation.

This volume describes the status of fractal imaging research and looks to future directions. It will be useful to researchers in the areas of fractal image compression, analysis, and synthesis, iterated function systems, and fractals in education. In particular it includes a vision for the future of these areas. It aims to provide an efficient means by which researchers can look back over the last decade at what has been achieved, and look forward towards second-generation fractal imaging. The articles in themselves are not meant to be detailed reviews or expositions, but to serve as signposts to the state of the art in their areas. What is important is what they mention and what tools and ideas are seen now to be relevant to the future. The contributors, a number of whom have been involved since the start, are active in fractal imaging, and provide a well-informed viewpoint on both the status and the future. Most were invited participants at a meeting on Fractals in Multimedia held at the IMA in January 2001. Some goals of the mini-symposium, shared with this volume, were to demonstrate that the fractal viewpoint leads to a broad collection of useful mathematical tools, common themes, new ways of looking at and thinking about existing algorithms and applications in multimedia, and to consider future developments. This book should be useful to commercial and university researchers in the rapidly evolving field of digital imaging, specifically, chief information officers, professors, software engineers, and graduate students in the mathematical sciences. While much of the content is quite technical, it contains pointers to the state-of-the-art and the future in fractal imaging.

This book looks at the two most popular ways of using Java SE 6 to write 3D games on PCs: Java 3D (a high-level scene graph API) and JOGL (a Java layer over OpenGL).

Written by Java gaming expert, Andrew Davison, this book will be first Java game book to market that uses the new Java (SE) 6 platform and its features including splash screens, scripting, and the desktop tray interface.

This will be first and maybe only book to market that covers Java game development using the Java 3D API and Java for OpenGL, both critical components and libraries to Java-based 3D game application development.

As a software engineer, you'll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don't despair! Many of these "new" problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. about the technology Data structures and algorithms are the foundations for how programs store and process information. Choosing the optimal algorithms ensures that your programs are fast, efficient, and reliable. about the book Algorithms and Data Structures in Action expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. In it, you'll discover techniques for improving priority queues, efficient caching, clustering data, and more. Each example is fully illustrated with graphics, language agnostic pseudo-code, and code samples in various languages. When you're done, you will be able to implement advanced and little-known algorithms to deliver better performance from your code. what's inside Improving on basic data structures Efficient caching Nearest neighbour search, including k-d trees and S-trees Full 'pseudo-code' and samples in multiple languages about the readerFor programmers with basic or intermediate skills. Written in a language-agnostic manner, no specific language knowledge is required. about the author Marcello La Rocca is a research scientist and a full-stack engineer focused on optimization algorithms, genetic algorithms, machine learning and quantum computing. He has contributed to large-scale web applications at companies like Twitter and Microsoft, has undertaken applied research in both academia and industry, and authored the Neatsort adaptive sorting algorithm.

Unlock the power of Flash and bring gorgeous animations to life onscreen. With this Missing Manual, you'll move easily from the basics to power-user tools - even if you have no programming experience. Start creating animations in the very first chapter, and learn how to get professional results for everything from simple animations to high-end desktop applications in no time. The important stuff you need to know: Learn animation basics. Find everything you need to know to get started with Flash. Master the Flash tools. Learn the animation and effects toolset, with clear explanations and hands-on examples. Use 3D effects. Rotate and put objects in motion in three dimensions. Create lifelike motion. Use the IK Bones tool to simulate realistic body movements and other linked motions. Speed up development. Use templates, code snippets, and motion presets. Go mobile. Learn what it takes to design for BlackBerry and Android mobile devices. Add multimedia. Incorporate your own audio and video files into Flash. Create rich interactive animations. Dive into advanced interactivity with easy-to-learn ActionScript examples.

Full coverage of functional programming and all OCA Java Programmer exam objectives OCA, Oracle Certified Associate Java SE 8 Programmer I Study Guide, Exam 1Z0-808 is a comprehensive study guide for those taking the Oracle Certified Associate Java SE 8 Programmer I exam (1Z0-808). With complete coverage of 100% of the exam objectives, this book provides everything you need to know to confidently take the exam. The release of Java 8 brought the language's biggest changes to date, and for the first time, candidates are required to learn functional programming to pass the exam. This study guide has you covered, with thorough functional programming explanation and information on all key topic areas Java programmers need to know. You'll cover Java inside and out, and learn how to apply it efficiently and effectively to create solutions applicable to real-world scenarios. * Work confidently with operators, conditionals, and loops * Understand object-oriented design principles and patterns * Master functional programming fundamentals

Machine Vision Algorithms in Java provides a comprehensive introduction to the algorithms and techniques associated with machine vision systems. The Java programming language is also introduced, with particular reference to its imaging capabilities. The book contains explanations of key machine vision techniques and algorithms, along with the associated Java source code.Special features include: - A complete self-contained treatment of the topics and techniques essential to the understanding and implementation of machine vision.- An introduction to object-oriented programming and to the Java programming language, with particular reference to its imaging capabilities.- Java source code for a wide range of practical image processing and analysis functions.- Readers will be given the opportunity to download a fully functional Java-based visual programming environment for machine vision, available via the WWW. This contains over 200 image processing, manipulation and analysis functions and will enable users to implement many of the ideas covered in this book. - Details relating to the design of a Java-based visual programming environment for machine vision.- An introduction to the Java 2D imaging and Java Advanced Imaging (JAI) APIs- A wide range of illustrative examples.- Practical treatment of the subject matter. This book is aimed at senior undergraduate and postgraduate students in engineering and computer science as well as practitioners in machine vision who may wish to update or expand their knowledge of the subject. The techniques and algorithms of machine vision are expounded in a way that will be understood not only by specialists but also by those who are less familiar with the topic.

Contains everything that a project team needs to know about the development and deployment of Web services with the IBM WebSphere product family. Includes examples for all development artifacts in a format that can be reused in the reader’s project. The text combines the authors’ own practical experiences with consolidated information on the latest product capabilities in a unique approach that allows the book to be easily accessible to a broad spectrum of readers. Finding a balance between a euphoric/optimistic and down-to earth/realistic view on the subject, this book should sit on every Web service developer’s bookshelf.

Efficiently and effectively prepare for the OCP Java SE 17 certification exam In OCP Oracle Certified Professional Java SE 17 Developer Practice Tests: Exam 1Z0-829, a team of veteran Java developers helps you gain the confidence and knowledge you need to take the Oracle Certified Professional Java SE 17 Developer exam. Hundreds of domain-by-domain questions accompany complimentary online access to bonus questions, providing you with over 1000 practice questions and answers. You'll also get: Access to Sybex's proven online interactive learning environment and test bank Comprehensive coverage of every domain included on the OCP Java SE 17 Developer exam Three complete bonus practice exams to help you gain confidence and develop proficiency in Java development This resource is perfect for anyone preparing to take Exam 1Z0-829. It also belongs on the bookshelves of novice and veteran Java programmers hoping to improve their on-the-job coding skills.

C++ is a powerful, much sought after programming language, but can be daunting to work with, even for engineering professionals. Why is this book so useful? Have you ever wondered: - How do keywords like static and virtual change their meanings according to context? - What are the similarities and differences between Pointers and References, Pointers and Arrays, Constructors and Copy Constructors, Nested and Local Inner Classes? - Why is Multiple Interface Inheritance seen to be beautiful but Multiple Implementation Inheritance considered evil? - When is Polymorphism Static or Dynamic, Bounded or Unbounded? Answers on these questions, and much more, are explained in this book, Cybernetics in C++. What makes this text so different and appealing in comparison to existing books on the market? - The Bulleted style, as opposed to Prose, produces results much faster, both in learning and reference - Rules of Thumb, and further expert Tips are given throughout in how to optimise your code - The Prospective Evils sections tell you what to avoid - The thorough coverage ensures you will be trained to expert level in each of Imperative, Procedural, Memory & Resource Management, Object Oriented and Generic Programming Cybernetics in C++ combines a theoretical overview and practical approach in one book, which should prove to be a useful reference for computer scientists, software programmers, engineers and students in this and related field.

"Python Forensics" provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions.

Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps.

Drawing upon years of practical experience and using numerous examples and illustrative code samples, author Chet Hosmer discusses how to: Develop new forensic solutions independent of large vendor software release schedules Participate in an open-source workbench that facilitates direct involvement in the design and implementation of new methods that augment or replace existing tools Advance your career by creating new solutions along with the construction of cutting-edge automation solutions to solve old problems
Provides hands-on tools, code samples, and detailed instruction and documentation that can be put to use immediatelyDiscusses how to create a Python forensics workbenchCovers effective forensic searching and indexing using PythonShows how to use Python to examine mobile device operating systems: iOS, Android, and Windows 8 Presents complete coverage of how to use Python scripts for network investigation

Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation.

Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text.

This book presents a set of recent advances that involve the areas of multimedia, IoT, and web technologies. These advances incorporate aspects of clouds, artificial intelligence, data analysis, user experience, and games. In this context, the work will bring the reader the opportunity to understand new possibilities of use and research in these areas. We think that this book is suitable for students (postgraduates and undergraduates) and lecturers on these specific topics. Professionals can also benefit from the book since some chapters work with practical aspects relevant to the industry.

The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.

"Pro Java EE 5 Performance Management and Optimization" features proven methodology to guarantee top-performing Java EE 5 applications, and explains how to measure performance in your specific environment. The book also details performance integration points throughout the development and deployment lifecycles that are crucial for application success.

For QA and preproduction stages, this book guides you through testing and optimally deploying your Java EE 5 applications, with a focus on assessing capacity and discovering saturation points. It defines the concept and application of wait-based tuningone of the most effective approaches to application server tuning.

The book also helps you assess and improve the health of your applications upon deployment. The topics covered include trending, forecasting, and capacity assessing and planning. When production issues arise, youll be armed with troubleshooting methodology and solutions to common problems that have been observed in real-world environments. This book even guides you through the creation of a formal Java EE 5 Performance Management Plancustomized to your environment to help you interpret and react to changing trends in usage patterns.

JavaScript is the programming language of the web and is used by more software developers today than any other programming language. For nearly 25 years this best seller has been the go-to guide for JavaScript programmers. The seventh edition is fully updated to cover the 2020 version of JavaScript, and new chapters cover classes, modules, iterators, generators, Promises, async/await, and metaprogramming. You'll find illuminating and engaging example code throughout. This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js. Topics include: Types, values, variables, expressions, operators, statements, objects, and arrays Functions, classes, modules, iterators, generators, Promises, and async/await JavaScript's standard library: data structures, regular expressions, JSON, i18n, etc. The web platform: documents, components, graphics, networking, storage, and threads Node.js: buffers, files, streams, threads, child processes, web clients, and web servers Tools and language extensions that professional JavaScript developers rely on

For courses in Java programming The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of programming fundamentals, object-oriented programming concepts and intermediate-level topics for further study. Java How to Program, Early Objects, 11th Edition, presents leading-edge computing technologies using the Deitel signature live-code approach, which demonstrates concepts in hundreds of complete working programs. The 11th Edition presents updated coverage of Java SE 8 and new Java SE 9 capabilities, including JShell, the Java Module System, and other key Java 9 topics.

This book is for C# developers who want to learn how to develop professional web applications with Microsoft's ASP.NET 3.5. The first 4 chapters present a quick-start course that works both for beginners and for experienced web developers who are new to ASP.NET. Then, the next four sections present (1) the skills you need for any business application, (2) the skills you need for database applications, (3) the skills you need for e-commerce applications, and (4) the skills you need for developing code that can be reused in other web applications. Along the way, you'll learn about .NET 3.5 enhancements that streamline web development, like the ListView and DataPager controls, LINQ, and AJAX.

This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science. This book is ideal for readers with some Python programming experience. The book covers key language concepts that must be understood to program effectively, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data structures. Using Python effectively means taking advantage of its vast ecosystem. The book discusses Python package management and how to use third-party modules as well as how to structure your own Python modules. The section on object-oriented programming explains features of the language that facilitate common programming patterns. After developing the key Python language features, the book moves on to third-party modules that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array data structures and memory usage. Then, the author moves onto Pandas and details its many features for data processing and alignment. Because strong visualizations are important for communicating data analysis, key modules such as Matplotlib are developed in detail, along with web-based options such as Bokeh, Holoviews, Altair, and Plotly. The text is sprinkled with many tricks-of-the-trade that help avoid common pitfalls. The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis. To get the most out of this book, open a Python interpreter and type along with the many code samples.