XML Programming: The Ultimate Guide to Fast, Easy, and Efficient Learning of XML Programming: Christopher Right
Efficient Partitioning and Indexing of XML Data:Native XML Database Management System Saud Alotaibi, Salahadin Adam
Instead of jumping right into the instructions, this book will provide you first with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier. This way, you´re sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. Sample codes are provided. You will also learn the designs and forms of XML, and what´s more convenient than getting to know both sides?! 1. Language: English. Narrator: Millian Quinteros. Audio sample: http://samples.audible.de/bk/acx0/052565/bk_acx0_052565_sample.mp3. Digital audiobook in aax.
Storing and Querying XML:An Efficient Approach Using Relational Databases Mustafa Atay
RPG programming at its best! Instead of jumping right into the instructions, this book will provide you first with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier. This way, you´re sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. You will also learn the designs and forms of parallel, and what´s more convenient than getting to know both sides?! 1. Language: English. Narrator: Millian Quinteros. Audio sample: http://samples.audible.de/bk/acx0/051757/bk_acx0_051757_sample.mp3. Digital audiobook in aax.
Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You?ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started?whether you?re on Windows, OS X, or Linux?author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you?re already comfortable processing data with, say, Python or R, you?ll greatly improve your data science workflow by also leveraging the power of the command line. * Obtain data from websites, APIs, databases, and spreadsheets * Perform scrub operations on plain text, CSV, HTML/XML, and JSON * Explore data, compute descriptive statistics, and create visualizations * Manage your data science workflow using Drake * Create reusable tools from one-liners and existing Python or R code * Parallelize and distribute data-intensive pipelines using GNU Parallel * Model data with dimensionality reduction, clustering, regression, and classification algorithms
The Eclpise Modeling Framework (EMF) is a framework and code generation facility that lets you define a model in any of these forms--Java interfaces, UML diagram, or XML Schema. EMF doesn´t require a completely different methodology or any sophisticated modeling tools. All you need to get started with EMF are the Eclipse Java Development Tools. EMF relates modeling concepts directly to their implementations, thereby bringing to Eclipse-and Java developers in general-the benefits of modeling with a low cost of entry. Unlike most tools of this type, EMF is truly integrated with and tuned for efficient programming. It answers the often-asked question, ´´Should I model or should I program?´´ with a resounding, ´´Both.´´ This book, written by the lead architects of EMF, provides both an introduction and tutorial to how to leverage and work with this powerful framework. In addition to the new coverage (see overflow page) this book provides: · A basic overview of the most important concepts in EMF and modeling. · Analysis of the most important framework classes and generator patterns including insightful discussions of various design alternatives. · Examples of many common framework customizations and programming techniques. Product Description EMF: Eclipse Modeling Framework Dave Steinberg Frank Budinsky Marcelo Paternostro Ed Merks Series Editors: Erich Gamma . Lee Nackman . John Wiegand The Authoritative Guide to EMF Modeling and Code Generation The Eclipse Modeling Framework enables developers to rapidly construct robust applications based on surprisingly simple models. Now, in this thoroughly revised Second Edition, the project´s developers offer expert guidance, insight, and examples for solving real-world problems with EMF, accelerating development processes, and improving software quality. This edition contains more than 40% new material, plus updates throughout to make it even more useful and practical. The authors illuminate the key concepts and techniques of EMF modeling, analyze EMF´s most important framework classes and generator patterns, guide you through choosing optimal designs, and introduce powerful framework customizations and programming techniques. Coverage includes . Defining models with Java, UML, XML Schema, and Ecore . NEW: Using extended Ecore modeling to fully unify XML with UML and Java . Generating high-quality code to implement models and editors . Understanding and customizing generated code . Complete documentation of @model Javadoc tags, generator model properties, and resource save and load options . NEW: Leveraging the latest EMF features, including extended metadata, feature maps, EStore, cross-reference adapters, copiers, and content types . NEW: Chapters on change recording, validation, and utilizing EMF in stand-alone and Eclipse RCP applications . NEW: Modeling generics with Ecore and generating Java 5 code About the Authors Dave Steinberg is a software developer in IBM Software Group. He has worked with Eclipse and modeling technologies since joining the company, and has been a committer on the EMF project since its debut in 2002. Frank Budinsky, a senior architect in IBM Software Group, is an original coinventor of EMF and a founding member of the EMF project at Eclipse. He is currently cochair of the Service Data Objects (SDO) specification technical committee at OASIS and lead SDO architect for IBM. Marcelo Paternostro is a software architect and engineer in IBM Software Group. He is an EMF committer and has been an active contributor to several other Eclipse projects. Before joining IBM, Marcelo managed, designed, and implemented numerous projects using Rational´s tools and processes. Ed Merks is the project lead of EMF and a colead of the top-level Modeling project at Eclipse. He holds a Ph.D. in Computing Science and has many years of in-depth experience in the design and implementation of languages, frameworks, and application development environments. Ed works as a software consultant in partnership with itemis AG. Backcover EMF: Eclipse Modeling Framework Dave Steinberg Frank Budinsky Marcelo Paternostro Ed Merks Series Editors: Erich Gamma . Lee Nackman . John Wiegand The Authoritative Guide to EMF Modeling and Code Generation The Eclipse Modeling Framework enables developers to rapidly construct robust applications based on surprisingly simple models. Now, in this thoroughly revised Second Edition, the project´s developers offer expert guidance, insight, and examples for
Programming in Go provides Product Description Your Hands-On Guide to Go, the Revolutionary New Language Designed for Concurrency, Multicore Hardware, and Programmer Convenience Today´s most exciting new programming language, Go, is designed from the ground up to help you easily leverage all the power of today´s multicore hardware. With this guide, pioneering Go programmer Mark Summerfield shows how to write code that takes full advantage of Go´s breakthrough features and idioms. Both a tutorial and a language reference, Programming in Go brings together all the knowledge you need to evaluate Go, think in Go, and write high-performance software with Go. Summerfield presents multiple idiom comparisons showing exactly how Go improves upon older languages, calling special attention to Go´s key innovations. Along the way, he explains everything from the absolute basics through Go´s lock-free channel-based concurrency and its flexible and unusual duck-typing type-safe approach to object-orientation. Throughout, Summerfield´s approach is thoroughly practical. Each chapter offers multiple live code examples designed to encourage experimentation and help you quickly develop mastery. Wherever possible, complete programs and packages are presented to provide realistic use cases, as well as exercises. Coverage includes Quickly getting and installing Go, and building and running Go programs Exploring Go´s syntax, features, and extensive standard library Programming Boolean values, expressions, and numeric types Creating, comparing, indexing, slicing, and formatting strings Understanding Go´s highly efficient built-in collection types: slices and maps Using Go as a procedural programming language Discovering Go´s unusual and flexible approach to object orientation Mastering Go´s unique, simple, and natural approach to fine-grained concurrency Reading and writing binary, text, JSON, and XML files Importing and using standard library packages, custom packages, and third-party packages Creating, documenting, unit testing, and benchmarking custom packages Tables xv Introduction 1 Why Go? 1 The Structure of the Book 4 Acknowledgments 5 Chapter 1: An Overview in Five Examples 7 1.1. Getting Going 7 1.2. Editing, Compiling, and Running 9 1.3. Hello Who? 14 1.4. Big Digits-Two-Dimensional Slices 16 1.5. Stack-Custom Types with Methods 21 1.6. Americanise-Files, Maps, and Closures 29 1.7. Polar to Cartesian-Concurrency 40 1.8. Exercise 48 Chapter 2: Booleans and Numbers 51 2.1. Preliminaries 51 2.2. Boolean Values and Expressions 56 2.3. Numeric Types 57 2.4. Example: Statistics 72 2.5. Exercises 78 Chapter 3: Strings 81 3.1. Literals, Operators, and Escapes 83 3.2. Comparing Strings 86 3.3. Characters and Strings 87 3.4. Indexing and Slicing Strings 90 3.5. String Formatting with the Fmt Package 93 3.6. Other String-Related Packages 106 3.7. Example: M3u2pls 130 3.8. Exercises 135 Chapter 4: Collection Types 139 4.1. Values, Pointers, and Reference Types 140 4.2. Arrays and Slices 148 4.3. Maps 164 4.4. Examples 171 4.5. Exercises 180 Chapter 5: Procedural Programming 185 5.1. Statement Basics 186 5.2. Branching 192 5.3. Looping with For Statements 203 5.4. Communication and Concurrency Statements 205 5.5. Defer, Panic, and Recover 212 5.6. Custom Functions 219 5.7. Example: Indent Sort 244 5.8. Exercises 250 Chapter 6: Object-Oriented Programming 253 6.1. Key Concepts 254 6.2. Custom Types 256 6.3. Interfaces 265 6.4. Structs 275 6.5. Examples 282 6.6. Exercises 311 Chapter 7: Concurrent Programming 315 7.1. Key Concepts317 7.2. Examples 322 7.3. Exercises 357 Chapter 8: File Handling 361 8.1. Custom Data Files 362 8.2. Archive Files 397 8.3. Exercises 405 Chapter 9: Packages 407 9.1. Custom Packages 408 9.2. Third-Party Packages 417 9.3. A Brief Survey of Go´s Commands 418 9.4. A Brief Survey of the Go Standard Library 419 9.5. Exercises 431 Appendix A: Epilogue 435 Appendix B: The Dangers of Software Patents 437 Appendix C: Selected Bibliography 441 Index 443 Programming in Go provides