Python notebooks in Microsoft Fabric aren't just for data exploration - they're a gateway to building enterprise-grade data solutions. This session shows you how to elevate your Python development in Fabric from experimental notebooks to production-ready, maintainable code assets.

The session will provide practical demonstrations and real-world examples of:

- Best practices for structuring Python code in Fabric for reusability and maintainability
- How to implement version control and CI/CD pipelines for your Fabric Python assets
- Techniques for adding monitoring, logging, and observability to your Python code
- Methods for ensuring code quality through testing and documentation
- Tools and approaches that maximize developer productivity in the Fabric environment

Whether you're a Python developer new to Fabric or an experienced data engineer looking to optimize your Python workflows, you'll gain practical insights for building more robust, maintainable, and scalable solutions.