Need to log Python application events? There is a special modu | Big Data Science

Need to log Python application events? There is a special module!
Python library logging (https://docs.python.org/3/library/logging.html) defines functions and classes that implement a flexible event logging system for applications and the library. The main advantage of the logging API, an extension of this standard library, is the ability to log all events. Therefore, the Python application log can display native messages inline with messages from external modules.
The module consists of the following classes:
• Registrars require an interface that uses application code.
• Handlers send log entries (created by registrars) to the appropriate destination.
• Filters require more precise definition of the log entries to display.
• Formats for determining the location of entries in the final output.
The level of the log indicates its severity, i.e. How important is a separate message. At the basic logging level, DEBUG has the lowest priority, and CRITICAL has the highest. If we define a logger of message-sensitive logs with the DEBUG level, then all of our logged messages will be logged, since DEBUG is the lowest level. You can configure checking only for events with the ERROR and CRITICAL types.
Сode example: https://medium.com/@DavidElvis/logging-for-ml-systems-1b055005c2c2