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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

Amazon Web Service Import/Export Commands

In the process like Hadoop cluster, which is already installed on CLOUD, the main input for data processing is huge volume of data. The big questions is how to send data to CLOUD from local machine.
It is NOT so easy to send huge volume of data to CLOUD through network.

AWS Import or Export

AWS introduced new feature called Import/Export, so that you can send hard drive to AWS, they will upload your data to S3 storage.

Different calculations:

How networking causes hurdle to move data to cloud?

A) Your internet speed is 1.544 MBPS it takes 82 days - So your data is 100 GB or more, based on your net speed you need to go for Import/Export.

Your internet speed is 10 MBPS it takes 13 days - So your data is 600 GB or more, based on your net speed you need to go for Import/Export.


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