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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

Top Valuable Sources to Learn Predictive Analytics After Your Degree

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The word predictive analytics is to increase competitive advantage and at the same time to suggest the best value products to end customers. Data analytics Why you need to go for predictive analytics The reasons are Growing data Cheaper computers and servers Easy to use software Tough economic conditions More: Case Study on data analytics The predictive analytics helps in the following areas: Detecting fraud Improve marketing campaigns Reduce risk Improving operations Growing data analytics creating many job opportunities. Where You Need to Learn Do PG or post graduation in data analytics Attend Class Room Coachings