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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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SQL Vs NOSQL real differences to read today

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SQL and NoSQL both or two different languages that will be used on different databases. In resolving bigdata analytics NoSQL is most popular. Where as SQL is popular in relational databases.

SQL Vs NOSQL Top Differences

sql vs nosql

SQL

  • SQL is structured query language 
  • It was first commercial language used in RDBMS 
  • SQL language is divided into multiple sub elements

NoSQL

  • Data is not in one machine or even one network. 
  • Data can be any type public data and private data 
  • Huge volume of data so you cannot put it in one place. 
  • It is uncoordinated in time as well as space. 
  • It is not always nice, structured data that SQL was meant to handle.

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