Free PDF Text Processing with Ruby: Extract Value from the Data That Surrounds You
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Text Processing with Ruby: Extract Value from the Data That Surrounds You
Free PDF Text Processing with Ruby: Extract Value from the Data That Surrounds You
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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.
Product details
Paperback: 274 pages
Publisher: Pragmatic Bookshelf; 1 edition (October 2, 2015)
Language: English
ISBN-10: 1680500708
ISBN-13: 978-1680500707
Product Dimensions:
7.5 x 0.6 x 9.2 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
7 customer reviews
Amazon Best Sellers Rank:
#791,862 in Books (See Top 100 in Books)
Rob Miller makes a compelling case for Ruby as an elegant and productive text processor. The text leaves me convinced this was probably one of Matz's top design goals for the language. Ruby is absolutely a cleaned-up, sane Perl.I like that Rob carefully places Ruby in relation to UNIX coreutils and demonstrates many organic CLI workflows, with each tool used appropriately. I also appreciate, due to the very lightweight and readable Ruby syntax, the gentle introduction to parsers and NLP. This could provide the newcomer a conceptual foundation before venturing into more industrial strength tools (in Scala, Java, Python, Go, what-have-you).Rob is a talented writer and I look forward to more from him. One "star" subtracted due to a formatting snafu in my edition that is not representative of the normal high quality of this publisher.
The goals of the content in this book were very good. My only complaint is that the editors seem to have fallen asleep after the first half. Starting around Chapter 10 (Writing Parsers) the quality takes a massive nosedive, which is unfortunate, because this is where it starts getting deep. At times the code and text are out of sync, as if a code snippet was updated without also checking the text. It makes it difficult to know when you are not understanding something vs. poor editing.
For me, because I work with both Ruby and text, this book is indispensable. However, even if you only need to mess around with JSON or regular expressions in Ruby, this book is still absolutely worth it, because it's better-written and more descriptive than most web tutorials you'll find,
Nicely done book that pulls together a lot of topics related to text processing in ruby. Accessible book that is easy to read in a sitting if you are familiar with text processing concepts, but want a good overview of the tools that ruby brings to bear.
A fun book, with all sorts of useful tricks even experienced Ruby Programmers might not know. Serves as a great and quick reference to being more efficient with Ruby's vast Text Processing capabilities.
Manipulating text is one area where Ruby excels, and this book really plays to that advantage. The author states that any text processing script can be broken into three stages: first you get the text, then you apply some kind of transformation to it, then output the results. I like the way that the book is organised into three parts that go into great detail on each of these three stages.Part 1, Aquiring text, starts with the basics: reading from files or from standard input. And quickly moves on to how to extract data from CSV files, and scraping data from HTML files using the Nokogiri library.Part 2, Modifying and Manipulating Text, opens with an introduction to regular expressions (does every programming book have a chapter on regex?). Then it gets really meaty with a chapter on writing parsers, and another on natural language processing. I particularly enjoyed the section where the author demonstrates how to use the Parslet library to parse a Rich Text Format file.Part 3, Writing Text, starts again with the basics: writing to standard output, standard error, and to a file. Then it goes on to discuss serialising data to JSON, XML, or CSV formats. And the last chapter uses ERB to render templates into text files. Anyone who knows rails will be familiar with the ERB templating language, but I found it refreshing to see this used outside of a rails context.If you want to learn Ruby as your first programming language, this is not the first book that you should read on Ruby, but it would be a good choice as your second book. Or if you already know how to program and you want to add Ruby to your repertoire, then this would be a great place to start. I've been working with Ruby for 8 years and I picked up lots of new stuff. I wish I could have read this book years ago!
Ruby has powerful libraries to get you started with text processing even if you are not familiar with the language. This book gives you a very detailed introduction into the ETL (Extract-Transform-Load) workflow, each one having its own part in the book. At the end you get a quick introduction on how to run apps if you really just get started.And if you ask where could you use text processing I would say website scraping as an example. And you'll find tools described in this book to accomplish your task.
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