Using the Logger Class in Python for Effective Logging

When to Use the Logger Class?

1. 
   Debugging and Troubleshooting: Detailed and customizable logs simplify identifying and rectifying issues in complex applications.


2. 
   Monitoring and Analysis: Logging is essential for monitoring behavior, identifying performance bottlenecks, and analyzing usage patterns in production environments.


3. 
   Security and Compliance: Comprehensive logging is vital for auditing and security analysis in applications handling sensitive information or needing to adhere to specific compliance requirements.

How to Use the Logger Class?

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