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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
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SAS career these are different job roles

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What is SAS?
Originating in 1966 at North Carolina State University, SAS is a proprietary 4th generation programming language specifically designed for data analysis. Data analysis includes data management, ETL, descriptive statistics, plots and graphics, inferential statistics, data mining, forecasting, etc.. In addition to the SAS programming language, SAS Institute, its parent company, also sells solutions built on top of the SAS language.

 SAS career
Many people assumptions about SAS: Some people confuse SAS with the common database query language called “SQL”, thinking that both languages manage data in some way. While SAS may be used for database querying (reading/writing data to databases), this is only a tiny fraction of SAS’s capabilities. To give some scope, the entire SQL language is available in SAS as but one “procedure” (think of a procedure as a bundle of functionality).
SKILL Set: What It Is: Pronounced “sass,” this software helps workers perform a variety of tasks, including business forecasting, project management and statistical analysis. 
Different roles in SAS Jobs:
  1. Business analyst
  2. Clinical data programmer
  3. Data Analyst
  4. Data Quality Steward
  5. Data Scientist
  6. Data warehouse architect
  7. Database administrator
  8. Database programmer
  9. Developer
  10. ETL specialist
  11. Financial analyst
  12. IT Manager
  13. Marketing analyst
  14. Platform Administrator
  15. Programmer
  16. Project Manager
  17. Quality analyst
  18. Report programmer
  19. Reporting Analyst
  20. Securities analyst
  21. Statistician
  22. Statistics programmer
  23. Systems/network programmer

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