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JavaScript Regular Expressions
JavaScript Regular Expressions
Knygos.lt klubas Knygos.lt nariams
52,63 €
-30%
Įprastai
75,19 €
  • Išsiųsime per 12–18 d.d.
Regular expressions are patterns or templates that allow you to define a set of rules in a natural yet vague way, giving you the ability to match and validate text. Therefore, they have been implemented in nearly every modern programming language. JavaScript's implementation allows us to perform complex tasks with a few lines of code using regular expressions to match and extract data out of text. This book starts by exploring what a pattern actually is and how regular expressions express these…

JavaScript Regular Expressions (el. knyga) (skaityta knyga) | knygos.lt

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Regular expressions are patterns or templates that allow you to define a set of rules in a natural yet vague way, giving you the ability to match and validate text. Therefore, they have been implemented in nearly every modern programming language. JavaScript's implementation allows us to perform complex tasks with a few lines of code using regular expressions to match and extract data out of text. This book starts by exploring what a pattern actually is and how regular expressions express these patterns to match and manipulate user data. You then move on to learning about the use of character classes to define a wild character match, a digit match, and an alphanumeric match. You will then learn to manipulate text and shorten data in URLs, paths, markup, and data exchange, as well as other advanced Regex features. Finally, you will work through real-world examples, both in the browser and on the server side using Node.js.

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Regular expressions are patterns or templates that allow you to define a set of rules in a natural yet vague way, giving you the ability to match and validate text. Therefore, they have been implemented in nearly every modern programming language. JavaScript's implementation allows us to perform complex tasks with a few lines of code using regular expressions to match and extract data out of text. This book starts by exploring what a pattern actually is and how regular expressions express these patterns to match and manipulate user data. You then move on to learning about the use of character classes to define a wild character match, a digit match, and an alphanumeric match. You will then learn to manipulate text and shorten data in URLs, paths, markup, and data exchange, as well as other advanced Regex features. Finally, you will work through real-world examples, both in the browser and on the server side using Node.js.

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