From Beginners to Pros: Python Logging Explained in Detail

Logging basics for Python beginners.

Alain Saamego
6 min readJun 3, 2022
Photo by Fotis Fotopoulos on Unsplash

In this tutorial, we’ll take a look at the Python logging module and how it can be used to track events in your code.

We’ll cover both the basic use case; logging messages to a file and more advanced topics like logging to multiple files, setting up loggers with different levels of detail, and using formatters to control how your logs are displayed.

Basic logging
— — — — — — -

The most basic use case for the logging module is to log messages to a file. To do this, we’ll need to create a logger and a handler.

The logger is responsible for tracking events that happen in your code, and the handler decides what to do with those events (in this case, we’ll just write them to a file).

First, let’s import the logging module:

```python
import logging
```

Next, we’ll create a logger and a handler. We’ll also set a few basic configuration options — like the log level and the format of our logs — before we add the handler to the logger:

```python
logger = logging.getLogger(‘my_logger’)
logger.setLevel(logging.DEBUG)
handler =…

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