We’ve all been there: you’re writing Python code, something isn’t behaving as expected, and your first instinct is to scatter a few print() statements around. A ...

There is little worse as a developer than trying to figure out why an application is not working if you don’t know what is going on inside it. Sometimes you can’t even tell whether the system is ...

Python’s built-in logging module provides a flexible and powerful way to handle logging. However, many developers fail to follow the correct approach for custom use cases. Common mistakes include ...

Debugging is only a part of the important process in software development. You have to identify and correct an error, or a "bug," in your code to make it work as you wish. Well-done debugging saves ...

Minimal wrapper for the Python standard library logger. Because consistent, colorized logging shouldn't require large dependencies. Apathetic Python Logger provides a lightweight, dependency-free ...