Regex Quick Syntax Reference
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Regex Quick Syntax Reference
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Author : Zsolt Nagy
language : en
Publisher:
Release Date : 2018
Regex Quick Syntax Reference written by Zsolt Nagy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with JavaScript (Computer program language) categories.
This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. It demonstrates regex syntax in a well-organized format that can be used as a handy reference, showing you how to execute regexes in many languages, including JavaScript, Python, Java, and C#. The Regex Quick Syntax Reference features short, focused code examples that show you how to use regular expressions to validate user input, split strings, parse input, and match patterns. Utilizing regular expressions to deal with search/replace and filtering data for backend coding is also covered. You won't find any bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise and highly accessible. The book is packed with useful information and is a must-have for any programmer. What You Will Learn Formulate an expression Work with arbitrary char classes, disjunctions, and operator precedence Execute regular expressions and visualize using finite state machines Deal with modifiers, including greedy and lazy loops Handle substring extraction from regex using Perl 6 capture groups, capture substrings, and reuse substrings Who This Book Is For: If you have dealt with at least one programming language, chances are you know enough to understand regular expressions, and the examples in this book will help you develop proficiency.--Provided by publisher.
Regex Quick Syntax Reference
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Author : Zsolt Nagy
language : en
Publisher: Apress
Release Date : 2018-08-17
Regex Quick Syntax Reference written by Zsolt Nagy and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-17 with Computers categories.
This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. It demonstrates regex syntax in a well-organized format that can be used as a handy reference, showing you how to execute regexes in many languages, including JavaScript, Python, Java, and C#. The Regex Quick Syntax Reference features short, focused code examples that show you how to use regular expressions to validate user input, split strings, parse input, and match patterns. Utilizing regular expressions to deal with search/replace and filtering data for backend coding is also covered. You won’t find any bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise and highly accessible. The book is packed with useful information and is a must-have for any programmer. What You Will Learn Formulate an expression Work with arbitrary char classes, disjunctions, and operator precedence Execute regular expressions and visualize using finite state machines Deal with modifiers, including greedy and lazy loops Handle substring extraction from regex using Perl 6 capture groups, capture substrings, and reuse substrings Who This Book Is For If you have dealt with at least one programming language, chances are you know enough to understand regular expressions, and the examples in this book will help you develop proficiency.
Perl 6 Quick Syntax Reference
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Author : J.J. Merelo
language : en
Publisher: Apress
Release Date : 2019-10-02
Perl 6 Quick Syntax Reference written by J.J. Merelo and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-02 with Computers categories.
This condensed code and syntax reference book presents the Raku (formerly known as Perl 6) scripting language in a well-organized format designed to be used time and again. It contains an easy-to-read and use guide to Raku for software application development. Using this book will give you a feel for the language, as well as an introduction to the different features (such as object-oriented programming) that make Raku such a unique language. You won’t find any technical jargon, bloated samples, drawn out history lessons, or witty stories in this book. Perl 6 Quick Syntax Reference is packed with useful information and is a must-have for any developer new to Raku. What You Will LearnUse Raku expressions and operators Work with Raku data access and persistent dataProcess complex data structures available in RakuWork with functions, modules, and moreUse Raku classes, roles, and traitsTake advantage of regular expressions and grammars using Raku Use the Unicode standard to its full extent in your scripts Who This Book Is For Those new to Raku who have at least some programming experience in any scripting language.
Regular Expression Pocket Reference
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Author : Tony Stubblebine
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2007-07-18
Regular Expression Pocket Reference written by Tony Stubblebine and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-18 with Computers categories.
A guide to the syntax and semantics of regular expressions for Perl 5.8, Ruby, Java, PHP, C#, .NET, Python, JavaScript, and PCRE.
Introducing Regular Expressions
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Author : Michael Fitzgerald
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-07-10
Introducing Regular Expressions written by Michael Fitzgerald and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-10 with Computers categories.
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
Regular Expression Pocket Reference
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Author : Tony Stubblebine
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2007-07-18
Regular Expression Pocket Reference written by Tony Stubblebine and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-18 with Computers categories.
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.
Oracle Regular Expressions Pocket Reference
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Author : Jonathan Gennick
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2003-09-05
Oracle Regular Expressions Pocket Reference written by Jonathan Gennick and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-05 with Computers categories.
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.
Python For Data Mining Quick Syntax Reference
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Author : Valentina Porcu
language : en
Publisher: Apress
Release Date : 2018-12-19
Python For Data Mining Quick Syntax Reference written by Valentina Porcu and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Computers categories.
Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning. What You'll LearnInstall Python and choose a development environment Understand the basic concepts of object-oriented programming Import, open, and edit files Review the differences between Python 2.x and 3.xWho This Book Is For Programmers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.
The Python Quick Syntax Reference
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Author : Gregory Walters
language : en
Publisher: Apress
Release Date : 2014-02-28
The Python Quick Syntax Reference written by Gregory Walters and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Computers categories.
The Python Quick Syntax Reference is the "go to" book that contains an easy to read and use guide to Python programming and development. This condensed code and syntax reference presents the Python language in a well-organized format designed to be used time and again. You won't find jargon, bloated samples, case studies, or history of Hello World and computer theory in this handy reference. This Python syntax reference is packed with useful information and is a must-have for any Python developer.
R Quick Syntax Reference
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Author : Margot Tollefson
language : en
Publisher:
Release Date : 2019
R Quick Syntax Reference written by Margot Tollefson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with R (Computer program language) categories.
This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API. With a copy of the R Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data.