Chapter 5. Python and PixieDust Best Practices and Advanced Concepts
"In God we Trust, all others bring data."
– W. Edwards Deming
In the remaining chapters of this book, we will do a deep dive into the architecture of industry use cases, including the implementation of sample data pipelines, heavily applying the techniques we've learned so far. Before we start looking at the code, let's complete our toolbox with a few best practices and advanced PixieDust concepts that will be useful in the implementation of our sample applications:
- Calling third-party Python libraries with
@captureOutputdecorator - Increasing modularity and code reuse of your PixieApp
- PixieDust support of streaming data
- Adding dashboard drill-downs with PixieApp events
- Extending PixieDust with a custom display renderer
- Debugging:
- Line-by-line Python code debugging running on the Jupyter Notebook using pdb
- Visual debugging with PixieDebugger
- Using...
