Python Logging: Master the Art of Debugging and Troubleshooting

Logging is a useful technique for tracking and recording events and messages that occur in your application. In Python, you can use the built-in logging module to create log messages and output them to a variety of destinations, such as a file or the console.

The standard library’s Logging Python module offers the ability to deal with the framework for releasing log messages from Python programmes. The software uses logging to keep track of events that take place while it is running.

When working on logging, developers frequently use this module. It is a crucial tool used in the creation, operation, and debugging of software.

Logging is useful for keeping track of your activities. If the application is halted while it is running and there is no logging record, we won’t be able to identify the root of the issue.

Here is a simple example of how to use the logging module to create a log message and output it to the console:

import logging # Set the logging level to DEBUG 
logging.basicConfig(level=logging.DEBUG) # Create a log message 
logging.debug("This is a debug message.")

In this example, the logging.basicConfig() function is used to set the logging level to DEBUG, which means that all log messages with a level of DEBUG or higher will be output. The logging.debug() function is then used to create a log message with a level of DEBUG.

You can also use the logging module to output log messages to a file. For example:

import logging # Set the logging level to DEBUG and specify the log file 
logging.basicConfig(level=logging.DEBUG, filename="mylog.log") # Create a log message 
logging.debug("This is a debug message.")

In this example, the logging.basicConfig() function is used to set the logging level to DEBUG and specify the log file as mylog.log. The log message will be written to this file.

The logging module provides a number of different logging levels that you can use to categorize your log messages, including DEBUG, INFO, WARNING, ERROR, and CRITICAL. You can use these levels to filter your log messages and control which messages are output.

It’s a good practice to use logging in your application to help you diagnose and troubleshoot problems. It’s also a useful way to track the activity and behavior of your application over time.