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pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
For brevity we will test the numbers from 0 through 10, below are a collection of pytest tests covering these cases. Thus, in test_willans.py we have the following:
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
It would be worth using tools such as pandas or scikit learn if you wish to improve the efficiency and scale of the implementation.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.