Advanced Applications and Structures in XML Processing ab 168.49 € als gebundene Ausgabe: Label Streams Semantics Utilization and Data Query Technologies. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,
Why spend time on coding problems that others have already solved when you could be making real progress on your Ruby project? This updated cookbook provides more than 350 recipes for solving common problems, on topics ranging from basic data structures, classes, and objects, to web development, distributed programming, and multithreading. Revised for Ruby 2.1, each recipe includes a discussion on why and how the solution works. You’ll find recipes suitable for all skill levels, from Ruby newbies to experts who need an occasional reference. With Ruby Cookbook, you’ll not only save time, but keep your brain percolating with new ideas as well. Recipes cover: * Data structures including strings, numbers, date and time, arrays, hashes, files and directories * Using Ruby’s code blocks, also known as closures * OOP features such as classes, methods, objects, and modules * XML and HTML, databases and persistence, and graphics and other formats * Web development with Rails and Sinatra * Internet services, web services, and distributed programming * Software testing, debugging, packaging, and distributing * Multitasking, multithreading, and extending Ruby with other languages
A Fully Revised Edition Featuring New Material on Coroutines, Debugging, Testing, Parsing, String Formatting, and More Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3's features and idioms. Programming in Python 3, Second Edition, brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new library modules of your own. Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won't find anywhere else. He begins by illuminating Python's "beautiful heart": the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces new topics designed to strengthen your practical expertise-one concept and hands-on example at a time. Coverage includes Developing in Python using procedural, objectoriented, and functional programming paradigms Creating custom packages and modules Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing Leveraging advanced data types, collections, control structures, and functions Spreading program workloads across multiple processes and threads Programming SQL databases and key-value DBM files Debugging techniques-and using Test Driven Development to avoid bugs in the first place Utilizing Python's regular expression mini-language and module Parsing techniques, including how to use the third-party PyParsing and PLY modules Building usable, efficient, GUI-based applications Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, metaclasses, coroutines, and more Programming in Python 3, Second Edition, serves as both tutorial and language reference. It assumes some prior programming experience, and it is accompanied by extensive downloadable example code-all of it tested with Python 3 on Windows, Linux, and Mac OS X.
Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions.This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
For Database Systems and Database Design and Application courses offered at the junior, senior and graduate levels in Computer Science departments. Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems. The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimization than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques. Resources: Open access Author Website ¿http://infolab.stanford.edu/~ullman/dscb.html ¿includes Power Point slides, teaching notes, assignments, projects, Oracle Programming Guidelines, and solutions to selected exercises. Instructor only Pearson Resources: Complete Solutions Manual (click on the Resources tab above to view downloadable files) Features + Benefits Many real-world examples. Offers a readable and engaging presentation. Extensive treatment of database modeling–Includes detailed and separate explanations of how to use E/R and ODL to design databases. Teaches about this important first step of the planning process. Excellent, up-to-date and detailed coverage of SQL–Includes coverage of object-relational systems and many aspects of the new SQL:1999 standard. Provides a more extensive treatment of query processing than other books on the market. Discussion of the technologies used to connect database programming with C or Java code–Includes discussions of SQL/PSM, SQL/CLI, and JDBC. Gives students practical advice on integrating state-of-the-art technologies with databases. Coverage of advanced issues important to database designers and users. Includes discussions of views, integrity constraints, assertions, triggers, transactions, authorization, and recursion in SQL:1999. Discussions of how to successfully plan a database application before building it. Reflects how these plans are developed in the real world. Coverage of topics such as designing storage structures and implementing a variety of indexing schemes. Shows students how to build efficient database management systems. Extensive coverage of query processing and optimization. Shows students how to fine tune database systems to improve performance. Comprehensive coverage of transaction processing mechanisms for concurrency control and recovery, including distributed and long-duration transactions. Shows how to design complex database systems that can handle real-world business applications. Coverage of information integration, including data warehousing, mediation, OLAP, data-cube systems, and data mining. Exposes readers to cutting edge technology used in business applications. Extensive exercises–In almost every section. Provides students with the opportunity to practice and apply the concepts they've learned in each chapter. Please note that GOAL/Gradiance is no longer available with this book. TABLE OF CONTENTS 1 The Worlds of Database Systems 1.1 The Evolution of Database Systems 1.1.1 Early Database Management Systems 1.1.2 Relational Database Systems 1.1.3 Smaller and Smaller Systems 1.1.4 Bigger and Bigger Systems 1.1.5 Information Integration 1.2 Overview of a Database Management System 1.2.1 Data-Definition Language Commands 1.2.2 Overview of Query Processing 1.2.3 Storage and Buffer Management 1.2.4 Transaction Processing 1.2.5 The Query Processor 1.3 Outline of Database-System Studies 1.4 References for Chapter 1 PART I: Relational Database Modeling 2 The Relational Model of Data 2.1 An Overview of Data Models 2.1.1 What is a Data Model? 2.1.2 Important Data Models 2.1.3 The Relational Model in Brief 2.1.4 The Semistructured Model in Brief 2.1.5 Other Data Models 2.1.6 Comparison of Modeling Approaches 2.2 Basics of the Relational Model 2.2.1 Attributes 2.2.2 Schemas 2.2.3 Tuples 2.2.4 Domains 2.2.5 Equivalent Representations of a Relation 2.2.6 Relation Instances 2.2.7 Keys of Relations 2.2.8 An Example Database Schema 2.2.9 Exercises for Section 2.2 2.3 Defining a Relation Schema in SQL 2.3.1 Relations in SQL 2.3.2 Data Types 2.3.3 Simple Table Declarations 2.3.4 Modifying Relation Schemas 2.3.5 Default Values 2.3.6 Declaring Keys 2.3.7 Exercises for Section 2.3 2.4 An Algebraic Query Language 2.4.1 Why Do We Need a Special Query Language? 2.4.2 What is an Algebra? 2.4.3 Overview of Relational Algebra 2.4.4 Set Operations on Relations 2.4.5 Projection 2.4.6 Selection 2.4.7 Cartesian Product 2.4.8 Natural Joins 2.4.9 Theta-Joins 2.4.10 Combining Operations to Form Queries 2.4.11 Naming and Renaming 2.4.12 Relationships Among Operations 2.4.13 A Linear Notation for Algebraic Expressions 2.4.14 Exercises for Section 2.4 2.5 Constraints on Relations 2.5.1 Relational Algebra as a Constraint Language 2.5.2 Referential Integrity Constraints 2.5.3 Key Constraints 2.5.4 Additional Constraint Examples 2.5.5 Exercises for Section 2.5 2.6 Summary of Chapter 2 2.7 References for Chapter 2 3 Design Theory for Relational Databases 3.1 Functional Dependencies 3.1.1 Definition of Functional Dependency 3.1.2 Keys of Relations 3.1.3 Superkeys 3.1.4 Exercises for Section 3.1 3.2 Rules About Functional Dependencies 3.2.1 Reasoning About Functional Dependencies 3.2.2 The Splitting/Combining Rule 3.2.3 Trivial Functional Dependencies 3.2.4 Computing the Closure of Attributes 3.2.5 Why the Closure Algorithm Works 3.2.6 The Transitive Rule 3.2.7 Closing Sets of Functional Dependencies 3.2.8 Projecting Functional Dependencies 3.2.9 Exercises for Section 3.2 3.3 Design of Relational Database Schemas 3.3.1 Anomalies 3.3.2 Decomposing Relations 3.3.3 Boyce-Codd Normal Form 3.3.4 Decomposition into BCNF 3.3.5 Exercises for Section 3.3 3.4 Decomposition: The Good, Bad, and Ugly 3.4.1 Recovering Information from a Decomposition 3.4.2 The Chase Test for Lossless Join 3.4.3 Why the Chase Works 3.4.4 Dependency Preservation 3.4.5 Exercises for Section 3.4 3.5 Third Normal Form 3.5.1 Definition of Third Normal Form 3.5.2 The Synthesis Algorithm for 3NF Schemas 3.5.3 Why the 3NF Synthesis Algorithm Works 3.5.4 Exercises for Section 3.5 3.6 Multivalued Dependencies 3.6.1 Attribute Independence and Its Consequent Redundancy 3.6.2 Definition of Multivalued Dependencies 3.6.3 Reasoning About Multivalued Dependencies 3.6.4 Fourth Normal Form 3.6.5 Decomposition into Fourth Normal Form 3.6.6 Relationships Among Normal Forms 3.6.7 Exercises for Section 3.6 3.7 An Algorithm for Discovering MVD's 3.7.1 The Closure and the Chase 3.7.2 Extending the Chase to MVD's 3.7.3 Why the Chase Works for MVD's 3.7.4 Projecting MVD's 3.7.5 Exercises for Section 3.7 3.8 Summary of Chapter 3 3.9 References for Chapter 3 4 High-Level Database Models 4.1 The Entity/Relationship Model 4.1.1 Entity Sets 4.1.2 Attributes 4.1.3 Relationships 4.1.4 Entity-Relationship Diagrams 4.1.5 Instances of an E/R Diagram 4.1.6 Multiplicity of Binary E/R Relationships 4.1.7 Multiway Relationships 4.1.8 Roles in Relationships 4.1.9 Attributes on Relationships 4.1.10 Converting Multiway Relationships to Binary 4.1.11 Subclasses in the E/R Model 4.1.12 Exercises for Section 4.1 4.2 Design Principles 4.2.1 Faithfulness 4.2.2 Avoiding Redundancy 4.2.3 Simplicity Counts 4.2.4 Choosing the Right Relationships 4.2.5 Picking the Right Kind of Element 4.2.6 Exercises for Section 4.2 4.3 Constraints in the E/R Model 4.3.1 Keys in the E/R Model 4.3.2 Representing Keys in the E/R Model 4.3.3 Referential Integrity 4.3.4 Degree Constraints 4.3.5 Exercises for Section 4.3 4.4 Weak Entity Sets 4.4.1 Causes of Weak Entity Sets 4.4.2 Requirements for Weak Entity Sets 4.4.3 Weak Entity Set Notation 4.4.4 Exercises for Section 4.4 4.5 From E/R Diagrams to Relational Designs 4.5.1 From Entity Sets to Relations 4.5.2 From E/R Relationships to Relations 4.5.3 Combining Relations 4.5.4 Handling Weak Entity Sets 4.5.5 Exercises for Section 4.5 4.6 Converting Subclass Structures to Relations 4.6.1 E/R-Style Conversion 4.6.2 An Object-Oriented ApproachFor Database Systems and Database Design and Application courses offered at the junior, senior and graduate levels in Computer Science departments. Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems. The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimization than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques. Resources: * Open access Author Website ¿¿includes Power Point slides, teaching notes, assignments, projects, Oracle Programming Guidelines, and solutions to selected exercises. * Instructor only Pearson Resources: Complete Solutions Manual (click on the Resources tab above to view downloadable files)
Advanced Applications and Structures in XML Processing ab 168.49 EURO Label Streams Semantics Utilization and Data Query Technologies
Schematron is a rule-based XML schema language, offering flexibility and power that W3C XML schema, RELAX NG, and DTDs simply can't match.You need Schematron and can't settle for other languages if you have to check rules that go beyond checking the document structures (i.e., checking that an element bar is included in element foo) and their datatypes. Schematron is the right tool for checking conditions such as &quote;startDate is earlier than or equal to endDate.&quote;Schematron is also the right tool to use if you have to raise user-friendly error messages rather than depend on error messages that are generated by a schema processor and that are often obscure.Schematron builds on XPath. You will need to understand XPath to to get the most from Schematron.
What is this book about?This book teaches you how to build custom ASP.NET Web sites fromthe ground up. An expert team of authors uses their extensiveASP.NET programming experience to give you hands-on instruction inthe best way to create Web sites with ASP.NET. This completelyupdated edition features new examples, and all code is written andtested for ASP.NET version 1.1.What does this book cover?Here's what you will learn in this book:* How to install and configure ASP.NET* Basic programming principles for Visual Basic. NET, such asvariables, controls structures, and procedural programming* Techniques for applying these principles as you develop ASP.NETpages* The minimum amount of object-oriented programming necessary towork successfully and efficiently with ASP.NET* Key differences between ASP.NET 1.0 and 1.1, how to use theexamples in this book with either version, and how to move from 1.0to 1.1* Build ASP.NET sites faster using Microsoft's new, freeWebMatrix tool* Techniques for extending your ASP.NET sites to incorporaterelated tools and technologies, such as using ADO.NET for datasource access* Web Services for inter-Web site communication, and ServerControls for facilitating code maintenance and reuse* How you can make your ASP.NET site production-ready throughproper debugging, optimization, and securityWho is this book for?This book is for beginners who have no previous experience ofASP, VB, XML, object-oriented programming, or the .NET framework. Alittle knowledge of HTML is useful, but not essential. All theconcepts you need to create dynamic ASP.NET Web sites are presentedand explained in full.
The #1 Step-by-Step Guide to LabVIEWÑNow Completely Updated for LabVIEW 8! Master LabVIEW 8 with the industryÕs friendliest, most intuitive tutorial: LabVIEW for Everyone, Third Edition. Top LabVIEW experts Jeffrey Travis and Jim Kring teach LabVIEW the easy way: through carefully explained, step-by-step examples that give you reusable code for your own projects! This brand-new Third Edition has been fully revamped and expanded to reflect new features and techniques introduced in LabVIEW 8. YouÕll find two new chapters, plus dozens of new topics, including Project Explorer, AutoTool, XML, event-driven programming, error handling, regular expressions, polymorphic VIs, timed structures, advanced reporting, and much more. Certified LabVIEW Developer (CLD) candidates will find callouts linking to key objectives on NIÕs newest exam, making this book a more valuable study tool than ever. Not just what to do: why to do it! Use LabVIEW to build your own virtual workbench Master LabVIEWÕs foundations: wiring, creating, editing, and debugging VIs; using controls and indicators; working with data structures; and much more Learn the ÒartÓ and best practices of effective LabVIEW development NEW: Streamline development with LabVIEW Express VIs NEW: Acquire data with NI-DAQmx and the LabVIEW DAQmx VIs NEW: Discover design patterns for error handling, control structures, state machines, queued messaging, and more NEW: Create sophisticated user interfaces with tree and tab controls, drag and drop, subpanels, and more Whatever your application, whatever your role, whether youÕve used LabVIEW or not, LabVIEW for Everyone, Third Edition is the fastest, easiest way to get the results youÕre after!