Modern python logging

certainly! modern python logging is a powerful and flexible way to manage log messages in your applications. the `logging` module, which is part of the standard library, allows you to track events that happen when your software runs. this can be useful for debugging issues, monitoring application behavior, or recording events for auditing purposes.

### overview of python logging

the `logging` module provides several components to manage logging:

1. **loggers**: create log messages.
2. **handlers**: send log messages to their final destination (console, files, etc.).
3. **formatters**: define the layout of log messages.
4. **levels**: set the severity of messages (debug, info, warning, error, critical).

### basic usage

here’s how to set up basic logging:

1. **import the logging module**.
2. **configure logging** using `basicconfig()`.
3. **create log messages** using the logger.

### example code

here’s an example showing how to use python's logging module effectively.

### explanation of the code

- **importing the logging module**: this is necessary to use the logging functionalities.

- **configuring logging**:
- `format`: defines how the log messages will appear. in this example, it includes the timestamp, logger name, log level, and message.

- **creating a logger**: `getlogger(__name__)` creates a logger object that identifies the current module. you can use a custom name if needed.

- **defining a function**: the `divide` function performs division and logs appropriate messages for different outcomes — successful division and division by zero.

- **main execution**: the script logs the start and end of the program and tests the `divide` function.

### logging levels

the predefined ...

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