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What is Logging Module?

Python's built-in module for recording diagnostic information with configurable handlers, formatters, and log levels.

The logging module provides five severity levels: DEBUG, INFO, WARNING, ERROR, and CRITICAL. Loggers can output to console, files, email, syslog, or custom destinations via handlers. Formatters control the output format.

Best practices include using module-level loggers (logger = logging.getLogger(__name__)), configuring in a central location, using structured logging for production, and never using print() for operational logging.

Related Terms

Magic Methods
Special double-underscore methods that define how Python objects behave with built-in operations and functions.
Python Logging Best Practices
Structured approaches to implementing logging in Python applications using the built-in logging module for debugging and monitoring.
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A concise syntax pattern for creating collections by transforming and filtering items from iterables.
Pydantic
A data validation library that uses Python type annotations to validate and serialize data with automatic error reporting.
Enum
A built-in class for creating enumerated constants — named groups of related values that improve code readability.
Python Iterator Protocol
The interface requiring __iter__() and __next__() methods, enabling objects to be used in for loops and other iteration contexts.
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