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Python Regex: The 5 Exclusive Examples

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 Regular expressions (regex) are powerful tools for pattern matching and text manipulation in Python. Here are five Python regex examples with explanations: 01 Matching a Simple Pattern import re text = "Hello, World!" pattern = r"Hello" result = re.search(pattern, text) if result:     print("Pattern found:", result.group()) Output: Output: Pattern found: Hello This example searches for the pattern "Hello" in the text and prints it when found. 02 Matching Multiple Patterns import re text = "The quick brown fox jumps over the lazy dog." patterns = [r"fox", r"dog"] for pattern in patterns:     if re.search(pattern, text):         print(f"Pattern '{pattern}' found.") Output: Pattern 'fox' found. Pattern 'dog' found. It searches for both "fox" and "dog" patterns in the text and prints when they are found. 03 Matching Any Digit   import re text = "The price of the
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Python How to Create Function

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In Python, you can define and call the function. Once done, you can call it later from the other program. I have shared the structure of it. And, I have added the three rules of it; useful for interviews. Structure of Function Structure of Function Rules to Create a Function A function definition is executable. The body will have the code to perform the task you wish. You can assign default parameter values. 1. Key Elements. You will find here three key elements of the Python function. Here you can read the parameter vs argument differences . Name of a function. It can be any valid identifier. It should be meaningful, and it should convey the work it will do. Parameter. These should be separated with command and should be in the parentheses following the name of the function. The parameters are input to function. It can have any parameters. Body of the function. The function body can contain code that implements the task to be performed by it. 2. Sample Function. Python Example. def
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