Unit and integration testing in a Jupyter notebook
You like the super-short try-until-succeed development cycle that comes from implementing code in a Jupyter notebook? You would also like to perform your development with a bit of discipline, writing repeatable unit and integration tests as you go? This Python package is for you.
You can start your notebook by instantiating a test suite, and as you test-driven-develop your code (or something), you add tests to that suite. These tests are run as you go. The test suite accumulates your test results and can produce a report at the end. The package also includes an executable script that will take your notebook of tests as input, run it all from the command line, and write a nice result report to the shell – or some raw test result data structure, if that’s how you fly.
Find out more on jupytest’s Github repository.
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