oneoffmk999

3 ms·

1. 1.▲
   by oneoffmk999 5y ago

   Not my area of expertise. Can’t comment on it either way. But I would tend imagine it’s a strength of Kedro.
2. 2.▲
   by oneoffmk999 5y ago

   It’s a framework to organize data science code into pipelines. E.g. if your default might be a series of Python files connected by a master script and some config files, Kedro organizes them into an explicit Pipeline object. Think loading,
3. 3.▲
   by oneoffmk999 5y ago

   I am from McKinsey. I do not work on Kedro, but am a data scientist who has used it. I have mixed feelings on Kedro. Pros: * Forces data scientists to produce an end product that is not poorly organized Jupyter notebooks. * Data Catalog is