Regular Expressions (Regex) with Python - Easy and Fast!

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Description: Hi, and welcome to the Regular Expressions (Regex) with Python - Easy and Fast!Regular Expression (regex) is a pattern detection language – they are typically used to search patterns in text, extract matching values, and data validation. Regex is supported in many programming languages, including Python, C#, JavaScript, Perl, SQL, and more.This course is designed to provide hands-on experience with regular expressions through various exercises and projectsI am Chandra Lingam, and I am your instructor.Here are some typical uses of regular expressionPattern DetectionLook for occurrences of a pattern using a concise languageData PreparationData clean-up and preparation is often one of the most time-consuming activitiesYou can define the structure of data as a regex pattern and parse dataOne good application of this is AWS Glue and Athena.You can use regex to define the structure of a record in a plain text file, Create a table and query the file using SQLInput ValidationYou can implement a client-side check for input validationFor example, your app can guide the user to provide data in the correct format using regex.As part of the zero-trust architecture, you need to validate input to your microserviceWith regex, you can verify and validate data payloads in your serviceCloud ServicesSeveral cloud services use regex for advanced configuration.With the AWS web application firewall, you can allow or deny traffic based on a regex patternIn Google Workspace, you can use regex for content filtering, Gmail route configuration, and to search for content in google docsIn Google Analytics, you can use regex to locate and transform matching data in your data setRegex is also supported by several products such as SAP, Oracle, and SQL ServerCu
Category: Development > Programming Languages > Python
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