Python logging in 10 minutes
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python logging is a built-in module that provides a flexible and powerful logging framework. it allows developers to log messages at different severity levels, customize log formatting, and direct log output to various destinations like files, streams, or even network sockets.
here's a quick tutorial on how to use python logging effectively in your code:
1. import the logging module:
2. configure the logging settings:
in this configuration:
`level` sets the minimum severity level to log.
`format` defines the format of log messages.
3. get a logger object:
the logger name 'my_logger' can be any identifier.
4. log messages at different severity levels:
5. customizing log handlers:
you can add different handlers like filehandler, streamhandler, or rotatingfilehandler to direct logs to specific destinations. for example, directing logs to a file:
6. log exceptions:
you can log exceptions using the `exception` method:
7. disable logging in libraries:
if you want to disable logging from external libraries that use the logging module, you can set their log level to `critical`:
8. disable logging in production:
in production, you might want to disable logging altogether or set it to a higher level:
9. complete example:
python logging is a versatile tool that can help you track and debug your code effectively. by following this tutorial and customizing the logging settings to your needs, you can improve your application's maintainability and troubleshooting capabilities.
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