Python Logging Course

Discover the power of Python Logging! Every new developer starts by printing to the terminal, but professional applications rely on a more robust method: logging to files. This course dives deep into Python's logging module, a powerful tool for tracking application behavior, debugging issues, and ensuring compliance.

Learn how to effectively log in Python with guidance from experienced Python developer Michael Driscoll. Whether you're a beginner Python programmer or a seasoned professional, this course will elevate your skills. Michael, author of ten Python books and the creator of the popular Mouse Vs Python blog (with hundreds of free tutorials!), provides clear, practical instruction.

You'll master essential logging techniques, including:

• Logger objects: Understanding the core of Python's logging system.
• Log levels: Utilizing different severity levels (DEBUG, INFO, WARNING, ERROR, CRITICAL) for effective filtering.
• Log handlers: Configuring where your logs are sent (files, console, network, etc.).
• Formatting your logs: Creating readable and informative log messages.
• Log configuration: Customizing your logging setup for optimal performance.
• Logging decorators: Applying logging functionality to functions and methods.
• Rotating logs: Managing log file size and preventing disk space issues.
• Logging and concurrency: Handling logging in multi-threaded applications.

Take your Python development to the next level. This course provides the knowledge and skills to implement effective logging solutions in your Python projects.