nutter

Testing framework for Databricks notebooks (by microsoft)

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nutter reviews and mentions

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  • How much object orienteered do you use in your projects? Bonus points for integration and unit tests
    1 project | /r/dataengineering | 19 Mar 2023
    From my experience OO gives you much more flexibility in designing your pipeline but you're risking to make the project way more complicated. The worst example I have seen is the Nutter library (https://github.com/microsoft/nutter), which uses endless classes that are all nested in each other. I once had a bug when using it, and it was a huge pain in the ass to understand what's going on when the code is executed. It is a very good example of what can go wrong when you're overusing OO. However, in one project, I carefully created few classes, just out of curiosity, and I was very impressed how it helped me to organize/structure my code. A functions hase a clear dedicated use, but a good class is like a Swiss army knife with an solid set of functionalities. If you know how to use it in a smart way, you are likely to increase the quality of your code, but the contrary is also very likely, especially when the team members are not ready for it.
  • How do you test your pipelines?
    1 project | /r/dataengineering | 25 Oct 2021
    - https://github.com/microsoft/nutter

Stats

Basic nutter repo stats
2
262
0.0
20 days ago

microsoft/nutter is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of nutter is Python.


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