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Regular Expression Pocket Reference

Author: Tony Stubblebine
Publisher: "O'Reilly Media, Inc."
ISBN: 1449338933
Size: 73.35 MB
Format: PDF, ePub, Docs
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This handy little book offers programmers a complete overview of the syntax and semantics of regular expressions that are at the heart of every text-processing application. Ideal as a quick reference, Regular Expression Pocket Reference covers the regular expression APIs for Perl 5.8, Ruby (including some upcoming 1.9 features), Java, PHP, .NET and C#, Python, vi, JavaScript, and the PCRE regular expression libraries. This concise and easy-to-use reference puts a very powerful tool for manipulating text and data right at your fingertips. Composed of a mixture of symbols and text, regular expressions can be an outlet for creativity, for brilliant programming, and for the elegant solution. Regular Expression Pocket Reference offers an introduction to regular expressions, pattern matching, metacharacters, modes and constructs, and then provides separate sections for each of the language APIs, with complete regex listings including: Supported metacharacters for each language API Regular expression classes and interfaces for Ruby, Java, .NET, and C# Regular expression operators for Perl 5.8 Regular expression module objects and functions for Python Pattern-matching functions for PHP and the vi editor Pattern-matching methods and objects for JavaScript Unicode Support for each of the languages With plenty of examples and other resources, Regular Expression Pocket Reference summarizes the complex rules for performing this critical text-processing function, and presents this often-confusing topic in a friendly and well-organized format. This guide makes an ideal on-the-job companion.

Mastering Regular Expressions

Author: Jeffrey E.F. Friedl
Publisher: "O'Reilly Media, Inc."
ISBN: 1449332536
Size: 32.91 MB
Format: PDF, Mobi
View: 5995
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Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Perl, Python, Ruby, Java, VB.NET and C# (and any language using the .NET Framework), PHP, and MySQL. If you don't use regular expressions yet, you will discover in this book a whole new world of mastery over your data. If you already use them, you'll appreciate this book's unprecedented detail and breadth of coverage. If you think you know all you need to know about regularexpressions, this book is a stunning eye-opener. As this book shows, a command of regular expressions is an invaluable skill. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Regular expressions can save you time and aggravation. They can be used to craft elegant solutions to a wide range of problems. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. Yet despite their wide availability, flexibility, and unparalleled power, regular expressions are frequently underutilized. Yet what is power in the hands of an expert can be fraught with peril for the unwary. Mastering Regular Expressions will help you navigate the minefield to becoming an expert and help you optimize your use of regular expressions. Mastering Regular Expressions, Third Edition, now includes a full chapter devoted to PHP and its powerful and expressive suite of regular expression functions, in addition to enhanced PHP coverage in the central "core" chapters. Furthermore, this edition has been updated throughout to reflect advances in other languages, including expanded in-depth coverage of Sun's java.util.regex package, which has emerged as the standard Java regex implementation.Topics include: A comparison of features among different versions of many languages and tools How the regular expression engine works Optimization (major savings available here!) Matching just what you want, but not what you don't want Sections and chapters on individual languages Written in the lucid, entertaining tone that makes a complex, dry topic become crystal-clear to programmers, and sprinkled with solutions to complex real-world problems, Mastering Regular Expressions, Third Edition offers a wealth information that you can put to immediateuse. Reviews of this new edition and the second edition: "There isn't a better (or more useful) book available on regular expressions." --Zak Greant, Managing Director, eZ Systems "A real tour-de-force of a book which not only covers the mechanics of regexes in extraordinary detail but also talks about efficiency and the use of regexes in Perl, Java, and .NET...If you use regular expressions as part of your professional work (even if you already have a good book on whatever language you're programming in) I would strongly recommend this book to you." --Dr. Chris Brown, Linux Format "The author does an outstanding job leading the reader from regexnovice to master. The book is extremely easy to read and chock full ofuseful and relevant examples...Regular expressions are valuable toolsthat every developer should have in their toolbox. Mastering RegularExpressions is the definitive guide to the subject, and an outstandingresource that belongs on every programmer's bookshelf. Ten out of TenHorseshoes." --Jason Menard, Java Ranch

Regular Expressions Cookbook

Author: Jan Goyvaerts
Publisher: "O'Reilly Media, Inc."
ISBN: 1449327486
Size: 67.16 MB
Format: PDF, Docs
View: 6614
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Take the guesswork out of using regular expressions. With more than 140 practical recipes, this cookbook provides everything you need to solve a wide range of real-world problems. Novices will learn basic skills and tools, and programmers and experienced users will find a wealth of detail. Each recipe provides samples you can use right away. This revised edition covers the regular expression flavors used by C#, Java, JavaScript, Perl, PHP, Python, Ruby, and VB.NET. You’ll learn powerful new tricks, avoid flavor-specific gotchas, and save valuable time with this huge library of practical solutions. Learn regular expressions basics through a detailed tutorial Use code listings to implement regular expressions with your language of choice Understand how regular expressions differ from language to language Handle common user input with recipes for validation and formatting Find and manipulate words, special characters, and lines of text Detect integers, floating-point numbers, and other numerical formats Parse source code and process log files Use regular expressions in URLs, paths, and IP addresses Manipulate HTML, XML, and data exchange formats Discover little-known regular expression tricks and techniques

Scientific Data Analysis Using Jython Scripting And Java

Author: Sergei V. Chekanov
Publisher: Springer Science & Business Media
ISBN: 9781849962872
Size: 75.63 MB
Format: PDF
View: 1481
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Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-analysis framework, the book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets (of around 10-20 lines each) written in Jython and Java, plus several real-life examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first data-analysis and data-mining book which is completely based on the Jython language, and opens doors to scripting using a fully multi-platform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book.

Numeric Computation And Statistical Data Analysis On The Java Platform

Author: Sergei V. Chekanov
Publisher: Springer
ISBN: 3319285319
Size: 58.84 MB
Format: PDF, ePub, Docs
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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.

Oracle Regular Expressions Pocket Reference

Author: Jonathan Gennick
Publisher: "O'Reilly Media, Inc."
ISBN: 9780596552497
Size: 11.95 MB
Format: PDF, ePub, Mobi
View: 6556
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Support for regular expressions in SQL and PL/SQL is one of the most exciting features of Oracle Database 10G. Oracle has long supported the ANSI-standard LIKE predicate for rudimentary pattern matching, but regular expressions take pattern matching to a new level. They provide a powerful way to select data that matches a pattern, as well as to manipulate, rearrange, and change that data.This concise pocket guide is part tutorial and part quick-reference. It's suitable for those who have never used regular expressions before, as well as those who have experience with Perl and other languages supporting regular expressions. The book describes Oracle Database 10G's support for regular expressions, including globalization support and differences between Perl's syntax and the POSIX syntax supported by Oracle 10G. It also provides a comprehensive reference, including examples, to all supported regular expression operators, functions, and error messages.O'Reilly's Pocket References have become a favorite among developers and database administrators everywhere. By providing a wealth of important details in a concise, well-organized format, these handy books deliver just what you need to complete the task at hand. Whether you're using regular expressions for the first time or applying your skills from other languages to the latest version of Oracle, the Oracle Regular Expressions Pocket Reference is the book to have close by.

Building Bioinformatics Solutions

Author: Conrad Bessant
Publisher: OUP Oxford
ISBN: 0191643203
Size: 60.92 MB
Format: PDF, ePub, Docs
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Bioinformatics encompasses a broad and ever-changing range of activities involved with the management and analysis of data from molecular biology experiments. Despite the diversity of activities and applications, the basic methodology and core tools needed to tackle bioinformatics problems is common to many projects. This unique book provides an invaluable introduction to three of the main tools used in the development of bioinformatics software - Perl, R and MySQL - and explains how these can be used together to tackle the complex data-driven challenges that typify modern biology. These industry standard open source tools form the core of many bioinformatics projects, both in academia and industry. The methodologies introduced are platform independent, and all the examples that feature have been tested on Windows, Linux and Mac OS. Building Bioinformatics Solutions is suitable for graduate students and researchers in the life sciences who wish to automate analyses or create their own databases and web-based tools. No prior knowledge of software development is assumed. Having worked through the book, the reader should have the necessary core skills to develop computational solutions for their specific research programmes. The book will also help the reader overcome the inertia associated with penetrating this field, and provide them with the confidence and understanding required to go on to develop more advanced bioinformatics skills.

Regular Expression Recipes

Author: Nathan A. Good
Publisher: Apress
ISBN: 159059441X
Size: 50.65 MB
Format: PDF, ePub, Mobi
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Regular expressions are an essential part of programming, but they sure are hard to come to grips with, aren’t they? Fortunately, we have the answer for you! Regular Expression Recipes provides you with all the open-source regular expressions you’ll ever need, and explains how to use each one. This way, you can learn by example, rather than muddling through countless pages of explanatory syntax. Author Nathan A. Good includes syntax references only when necessary. Languages covered include Perl, PHP, grep, vim, Python, and shell. Web and applications developers, and system administrators will find the examples both accurate and relevant. And this book acts as a useful reference to keep handy for those moments when an answer is needed fast. Table of Contents Words and Text URLs and Paths CSV and Tab-Delimited Files Formatting and Validating HTML and XML Coding and Using Commands

Beginning Regular Expressions

Author: Andrew Watt
Publisher: John Wiley & Sons
ISBN: 0764574892
Size: 76.72 MB
Format: PDF, Mobi
View: 934
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This book introduces the various parts of the construction of a regular expression pattern, explains what they mean, and walks you through working examples showing how they work and why they do what they do. By working through the examples, you will build your understanding of how to make regular expressions do what you want them to do and avoid creating regular expressions that don t meet your intentions. Beginning chapters introduce regular expressions and show you a method you can use to break down a text manipulation problem into component parts so that you can make an intelligent choice about constructing a regular expression pattern that matches what you want it to match and avoids matching unwanted text. To solve more complex problems, you should set out a problem definition and progressively refine it to express it in English in a way that corresponds to a regular expression pattern that does what you want it to do. The second part of the book devotes a chapter to each of several technologies available on the Windows platform. You are shown how to use each tool or language with regular expressions (for example, how to do a lookahead in Perl or create a named variable in C#). Regular expressions can be useful in applications such as Microsoft Word, OpenOffice.org Writer, Microsoft Excel, and Microsoft Access. A chapter is devoted to each. In addition, tools such as the little–known Windows findstr utility and the commercial PowerGrep tool each have a chapter showing how they can be used to solve text manipulation tasks that span multiple files. The use of regular expressions in the MySQL and Microsoft SQL Server databases are also demonstrated. Several programming languages have a chapter describing the metacharacters available for use in those languages together with demonstrations of how the objects or classes of that language can be used with regular expressions. The languages covered are VBScript, Javascript, Visual Basic .NET, C#, PHP, Java, and Perl. XML is used increasingly to store textual data. The W3C XML Schema definition language can use regular expressions to automatically validate data in an XML document. W3C XML Schema has a chapter demonstrating how regular expressions can be used with the xs:pattern element. Chapters 1 through 10 describe the component parts of regular expression patterns and show you what they do and how they can be used with a variety of text manipulation tools and languages. You should work through these chapters in order and build up your understanding of regular expressions. The book then devotes a chapter to each of several text manipulation tools and programming languages. These chapters assume knowledge from Chapters 1 through 10, but you can dip into the tool–specific and language–specific chapters in any order you want.

Introducing Regular Expressions

Author: Michael Fitzgerald
Publisher: "O'Reilly Media, Inc."
ISBN: 1449338895
Size: 52.38 MB
Format: PDF, ePub, Docs
View: 3178
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If you’re a programmer new to regular expressions, this easy-to-follow guide is a great place to start. You’ll learn the fundamentals step-by-step with the help of numerous examples, discovering first-hand how to match, extract, and transform text by matching specific words, characters, and patterns. Regular expressions are an essential part of a programmer’s toolkit, available in various Unix utlilities as well as programming languages such as Perl, Java, JavaScript, and C#. When you’ve finished this book, you’ll be familiar with the most commonly used syntax in regular expressions, and you’ll understand how using them will save you considerable time. Discover what regular expressions are and how they work Learn many of the differences between regular expressions used with command-line tools and in various programming languages Apply simple methods for finding patterns in text, including digits, letters, Unicode characters, and string literals Learn how to use zero-width assertions and lookarounds Work with groups, backreferences, character classes, and quantifiers Use regular expressions to mark up plain text with HTML5