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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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Here are 5 Skills You need to Become SAS Data Analyst

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Want to know what will happen in the future? Find the most lucrative opportunities? Get insights into impending outcomes? No problem. With our SAS data mining software, you can:

SAS Data Analyst.

Simplify data preparation. Interact with your data quickly and intuitively using dynamic charts and graphs to understand key relationships.

Quickly and easily create better models. Take the guesswork out of building models that are both stable and accurate using proven techniques and a drag-and-drop interface that's both easy-to-use and powerful.

sas data analysts skills


Put your best models into service. Fast. Spend less time and effort scoring new data using automated, interactive processes that work in both batch and real-time environments.

The requirement varies from company to company. I am giving here the basic skills you need for a SAS data analyst

  1. Experience in SAS or R analytics
  2. Scripting languages of Python/JavaScript/VB Script
  3. SQL and PL/SQL
  4. Databases knowledge in Oracle, DB2, SQL Server
  5. Hadoop and Big data Knowledge

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