Difference between revisions of "Introduction to Regular Expressions in Python"
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* '''Character Classes''': Represent a set of characters that match any one character from the set (like '\d', '\w', '\s'). | * '''Character Classes''': Represent a set of characters that match any one character from the set (like '\d', '\w', '\s'). | ||
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| + | ===Use Cases=== | ||
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| + | * '''String Parsing''': Extracting specific information from text. | ||
| + | * '''Data Validation''': Ensuring formats of data are correct (like emails, phone numbers, passwords). | ||
| + | * '''Text Preprocessing''': Used in natural language processing for tasks like tokenization, cleaning data. | ||
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| + | ==Regular expressions` patterns== | ||
Revision as of 12:48, 14 May 2024
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Introduction
Regular expressions are sequences of characters that form a search pattern, mainly used for string searching and manipulation. In Python, they are implemented through the built-in 're' module.
Basic Concepts
- Patterns: Specific sequences of characters that represent a search criteria.
- Metacharacters: Special characters that signify broader types of patterns (like '*', '+', '?').
- Character Classes: Represent a set of characters that match any one character from the set (like '\d', '\w', '\s').
Use Cases
- String Parsing: Extracting specific information from text.
- Data Validation: Ensuring formats of data are correct (like emails, phone numbers, passwords).
- Text Preprocessing: Used in natural language processing for tasks like tokenization, cleaning data.
