python logging tutorialspoint

logging is a crucial aspect of software development that allows developers to record information about the execution of a program. python provides a built-in logging module that enables you to incorporate flexible logging into your applications. this tutorial will guide you through the basics of python logging using the logging module, with code examples.
to start using python logging, you need to import the logging module.
before using logging, it's essential to configure it. the basic configuration can be set up using the basicconfig method. this configuration specifies the format of log messages, the destination (console, file, etc.), and the logging level.
in the example above:
python logging supports several logging levels, which allow you to control the granularity of the information you capture. the levels, in increasing order of severity, are:
now, you can start logging messages using the logging methods corresponding to the desired logging level. here's an example:
adjust the logging level in the basicconfig to control which messages get displayed. in the example, since the level is set to debug, all messages will be captured.
instead of printing log messages to the console, you can log them to a file.
you can include variables in log messages using f-strings or the %(variable)s syntax.
to log exceptions, you can use the exception method:
the exception method automatically captures the exception information.
logging is a valuable tool for understanding your program's behavior and diagnosing issues. with python's logging module, you can easily integrate logging into your applications. experiment with different logging levels, formats, and destinations to meet your specific requirements.
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