Logging in Python: Best Practices

Today we're going to talk about something that's about as exciting as watching paint dry, but twice as important: Python logging.

Now, I know what you're thinking. "Nishant, I'd rather stick a fork in my eye than deal with logging." Well, tough noodles, because if you want to be a real programmer - you know, the kind that doesn't spend their weekends hunting for that one bug that's been driving the entire dev team insane - you need to master the art of logging.

You see, logging is like the black box in an airplane. When everything's going smoothly, nobody gives a hoot about it. But the moment your code decides to take a nosedive into the Pacific Ocean of runtime errors, you'll be thanking your lucky stars for every log message you wrote. It's the difference between spending five minutes identifying the problem and spending five days growing a beard while you comb through your entire codebase.

So buckle up. We're about to embark on a magical journey through the land of Python logging. By the end of this article, you'll be logging like a lumberjack on steroids. And who knows? You might even enjoy it. (Okay, that's a stretch, but at least you won't hate it as much.)

• What is Python logging?
• Python logging module
• Printing vs logging
• Python logging examples

Snippet 1: Creating a logger with a handler and a formatter
Snippet 2: Logging to a file
Snippet 3: Using logging in a class

• Types of Python logging methods
• How to get started with Python logging
• Advantages and disadvantages of Python logging
• Python logging platforms
• Basic Python logging concepts

• Python logging configuration
  Configuring the library
  Customizing via factory functions
  Configuring using Configparse-Format Files

• Python logging performance
  Configuration-based considerations
  Code-based considerations

• Advanced logging techniques
  Contextual logging with extra parameter
  Using LoggerAdapter for adding context
  Logging exceptions

• Best practices for Python logging

Now that we've got our roadmap, let's dive into the nitty-gritty of Python logging. Trust me, it's going to be a wild ride. Well, as wild as logging can be, which is about as wild as a sloth on sedatives. But hey, you're here to learn, not to party, right? https://last9.io/blog/python-logging-best-practices/