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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

10 Top Blockchain Advantages for Finance Projects

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In the business world, the transactions are — orders, payments, account tracking and much more. Often, each participant has his or her own ledger — and, thus, a version of the truth that may differ from other participants. Top Blockchain Features   You can avoid fraud... These multiple ledgers can be a recipe for error, fraud, and inefficiency. But because members on a blockchain share a common view of the truth, it’s now possible to see all details of a transaction end-to-end, reducing those vulnerabilities . Ordinary ledger Vs Shared Ledger Each participant has his own, separate ledger — increasing the possibility of human error or fraud. Reliance on intermediaries for validation creates inefficiencies. Can become a paper-laden process, resulting in frequent delays and potential losses for all stakeholders. How to Avoid the Complexity Single, shared, tamper-evident ledger — once recorded, transactions cannot be altered. All parties must give consensus before a new transactio