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Python Regex: The 5 Exclusive Examples

 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 these IT skills you need to learn to get job

The most lucrative analytics skills include MapReduce, Apache Pig, Machine Learning, Apache Hive and Apache Hadoop.

Machine learning, big data, and data science skills are the most challenging to recruit for and potentially can create the greatest disruption to ongoing product development and go-to-market strategies if not filled.
In demand IT skills
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Great in demand it skills...
  1. Big Data (Information Technology): 3,977%
  2. Node.js (Design): 2,493%
  3. Tableau (Research and Analysis): 1,581%
  4. NoSQL (Information Technology): 1,002%
  5. Apache Hadoop (Information Technology): 704%
  6. HTML5 (Information Technology): 612%
  7. Python (Research and Analysis): 456%
  8. Oracle (Sales): 382%
  9. JSON (Information Technology): 318%
  10. Salesforce CRM (Sales): 292%


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