Text Processing with Ruby : Extract Value from the Data That Surrounds You PDF Download

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Text Processing with Ruby : Extract Value from the Data That Surrounds You PDF Download

About Text Processing with Ruby Book :

Text is everywhere. Web pages, databases, the contents of files–for almost any programming task you perform, you need to process text. Cut even the most complex text-based tasks down to size and learn how to master regular expressions, scrape information from Web pages, develop reusable utilities to process text in pipelines, and more.Most information in the world is in text format, and programmers often find themselves needing to make sense of the data hiding within. It might be to convert it from one format to another, or to find out information about the text as a whole, or to extract information fromit. But how do you do this efficiently, avoiding labor-intensive, manual work?”Text Processing with Ruby” takes a practical approach. You’ll learn how to get text into your Ruby programs from the file system and from user input. You’ll process delimited files such as CSVs, and write utilities that interact with other programs in text-processing pipelines. Decipher character encoding mysteries, and avoid the pain of jumbled characters and malformed output.You’ll learn to use regular expressions to match, extract, and replace patterns in text. You’ll write a parser and learn how to process Web pages to pull out information from even the messiest of HTML.Before long you’ll be able to tackle even the most enormous and entangled text with ease, scything through gigabytes of data and effortlessly extracting the bits that matter.What You Need: This book requires a passing familiarity with the Ruby programming language, and assumes that you already have Ruby installed on your computer.


eBook Details :

Text Processing with Ruby book, written by Rob Miller and published in 2015 , Whatever you want to do with text
Published by: Pragmatic Bookshelf
Date Published: 09/25/2015
ISBN: 978-1-68050-070-7
Available in: pdf

Pages:    272
Language:    English
File size:    7.1 MB
File format:    PDF

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