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技术

Jupyter for automated testing

NOT ON THE CURRENT EDITION
This blip is not on the current edition of the radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the radarUnderstand more
May 2018
评估?

We're seeing some interesting reports of using Jupyter for automated testing. The ability to mix code, comments and output in the same document reminds us of FIT, FitNesse and Concordion. This flexible approach is particularly useful if your tests are data heavy or rely on some statistical analysis such as performance testing. Python provides all the power you need, but as tests grow in complexity, a way to manage suites of notebooks would be helpful.