Have you ever passed your data to a list of functions and classes without knowing for sure how the output is like?
Another common issue is that it’s hard to understand the relationships between functions when looking at a Python script that contains both the code to create and execute functions.
Wouldn’t it be nicer if you can visualize how the inputs and outputs of different functions are connected as shown in the image above?
That is when Kedro comes in handy. In my latest article, you will learn how to create reproducible, maintainable, and modular data science code with Kedro.
2 thoughts on “Kedro — A Python Framework for Reproducible Data Science Project”
Thanks for nice instructive post.
Thank you for reading the post!
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