Why choose Python logging over print statements?

When it comes to debugging and troubleshooting in Python, logging is a more powerful and flexible tool compared to print statements. While print statements are useful for quick and simple debugging, they become less effective as the codebase grows larger and more complex.

  1. Benefits of Python logging
  2. Conclusion

Benefits of Python logging

1. Output customization: With logging, you can customize the output format and level of detail to suit your needs. You can choose to log to a file, to the console, or to both.

2. Granular control: Logging allows for granular control over what gets logged and when. You can set different log levels for different parts of the code, and even disable or enable logging for specific modules or functions.

3. Performance: While print statements can slow down code execution, logging is designed to be fast and efficient. This is especially important for production environments where performance is critical.

4. Scalability: As your codebase grows larger and more complex, logging becomes even more important for debugging and troubleshooting. It provides a centralized location for all debugging information, making it easier to track down issues and fix them quickly.


While print statements may be sufficient for small projects and quick debugging, logging provides a more powerful and scalable solution for larger and more complex projects. With its customizable output, granular control, performance benefits, and scalability, logging is the preferred choice for many Python developers.

# Example of basic logging in Python

import logging

logging.basicConfig(filename='example.log', level=logging.DEBUG)

def divide(x, y):
        result = x / y
    except ZeroDivisionError:
        logging.error("Division by zero")
        logging.info(f"{x} divided by {y} is {result}")

divide(10, 2)
divide(5, 0)

In the example above, we set up a basic logging configuration using the basicConfig() method. We then define a function called divide() that performs a division operation and logs the result or any errors. By using logging instead of print statements, we can easily customize the output and level of detail, making it easier to debug and troubleshoot our code.

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