Learn how to use Loguru for structured contextual and productiongrade logging in Python without the boilerplate of the standard logging module

With the recent explosion of LLM tools, I often like to kill time fiddling with different LLM client libraries and SDKs in one-off scripts. Lately, I’ve noticed that some newer tools frequently mess up the logger settings, meddling with my application logs. While it’s less common in more seasoned libraries, I guess it’s worth rehashing why hijacking the root logger isn’t a good idea when writing libraries or other forms of reusable code.

Python's logging module isn't the only way to create logs. There are several third-party packages you can use, too. One of the most popular is Loguru. Loguru intends to remove all the boilerplate you get with the Python logging API. You will find that Loguru greatly simplifies creating logs in Python.

Python logging made (stupidly) simple.

Understand your program without hurting the performance

Logging is one of the best ways to keep track of what is going on inside your code while it is running. Python comes with a very powerful logging library but with great power… things start to get a bit complicated.

I'll show you what good logging is with real-life examples. Most people don't know what to log, so they end up creating just noise....