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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

Data Science in Retail Marketing and Opportunities

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Data Science and Analytics started by all big companies including Shoppers top and Wal-mart. Data Science in Retail Shoppers Stop started big data analytics to study customers behavior. Started with one of the easiest programs. Where they studied customer loyalty program. Some Insights Studied patterns Studied customer buying styles Some people buy shirt-only and some people buy both Shirt and Trouser Studied buying patterns of Women buyers Read more at Live Mint

Retail Analytics Solution from Leader in Data Science SAS

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Retail market is changed now. So many companies now open shops across the world. Every business owner tries to increase sales. This is possible with analytics. Retail Analytics The study also includes an in-depth look at how best-in-class retailers use analytics, as well as the business analytics software vendor landscape. Walmart started retail business in India. So the real use of data analytics started now. References Download here