Regex Helper-Regex Pattern Generation

Example

Generate a regex pattern to match email addresses.

Scenario

A developer needs to validate user input on a website form to ensure the email addresses provided are in a correct format. Regex Helper can generate a pattern like `^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$`, and explain each part of this pattern for a better understanding.

Example

Explain the regex pattern `\d{2,4}-\d{3,}-\d{4}`.

Scenario

A user encounters a regex pattern in legacy code and needs to understand its function. Regex Helper can explain that this pattern is used to match a specific format of numbers, possibly a custom-formatted phone number or an ID, where the number has 2 to 4 digits, followed by a minimum of 3 digits, and then exactly 4 digits, separated by dashes.

Example

Provide a Python snippet to find all matches of a regex in a given string.

Scenario

A data analyst has a large corpus of text data and needs to extract all occurrences of dates in a specific format. Regex Helper can not only provide the regex pattern to match dates but also supply a Python code snippet using the `re.findall` function to quickly extract all matching date strings from the text.