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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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How to use Python Interactive Shell in an easy way

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It's like this: Python leads a double life. It's an interpreter for scripts that you can run from the command line or run like applications, by double-clicking the scripts.

What is Interactive Shell?


But it's also an interactive shell that can evaluate arbitrary statements and expressions. This is extremely useful for debugging, quick hacking, and testing.

I even know some people who use the Python interactive shell in lieu of a calculator! 

Launch the Python interactive shell in whatever way works on your platform, and let's dive in with the steps shown here:

First Steps in the Interactive Shell

>>> 1 + 1 ❶
2
>>> print 'hello world' ❷
hello world
>>> x = 1 ❸
>>> y = 2
>>> x + y
3
❶ The Python interactive shell can evaluate arbitrary Python expressions, including any basic arithmetic expression.
❷ The interactive shell can execute arbitrary Python statements, including the print statement. 
❸ You can also assign values to variables, and the values will be remembered as long as the shell is
open (but not any longer than that).

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