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Frequently Asked Questions

What is Python logging and how to use it?

By logging useful data from the right places, you can not only debug errors easily but also use the data to analyze the performance of the application to plan for scaling or look at usage patterns to plan for marketing. Python provides a logging system as a part of its standard library, so you can quickly add logging to your application.

What are the different types of logging tutorials?

Logging HOWTO ¶ 1 Basic Logging Tutorial ¶. Logging is a means of tracking events that happen when some software runs. ... 2 Advanced Logging Tutorial ¶. The logging library takes a modular approach and offers several categories of components: loggers, handlers, filters, and formatters. 3 Logging Levels ¶. ... 4 Useful Handlers ¶. ...

How do you name a logger?

For example, a logger named ‘scan’ is the parent of loggers ‘scan.text’, ‘scan.html’ and ‘scan.pdf’. Logger names can be anything you want, and indicate the area of an application in which a logged message originates. A good convention to use when naming loggers is to use a module-level logger, in each module which uses logging, named as follows:

How to modify the output of a logger?

If you set the formatter for a handler that was already attached to the logger you want to modify the output of, you are fine, otherwise you have to retrieve a logger object with logging.getLogger () and call its addHandler () method with the instance of your handler class that you set the formatter on as the argument.

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