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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

Three top big data trainings useful to get deep insights

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I have selected 3 top professional training programs for all working engineers.
  1. ISB- Indian School of Business: started a course in "Certificate Program" in Analytics:The use of Business Analytics is widespread across all industries and functions, including Information Technology, Web/E-commerce, Healthcare, Law Enforcement, Banking and Insurance, Biotechnology, Human Resource Management.
  2. WIPRO-Started deepening: its Analytical Business with " OPERA SOLUTIONS":Opera Solutions will allow Wipro engineers to offer solutions for customers based on the predictive analytics company's technology platform, according to a senior executive of the New Jersey based company. 
  3. SAAS - Software as a service changed INDIA IT indutsry: Empowering non-tech employees.The SaaS revolution in India is also bringing about another important change in organizations. "The CMO today is even more empowered than before," said Gartner's Padmanabhan. "Previously, there was extensive dependency on IT, but now the technology department is more and more relegated to a support role for integration, data mining, overseeing contractual terms with vendors, and so on. They focus more on keeping the lights on," he added.

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