Pytesting your python package

Most software developers understand the advantages of packaging up their code: it makes their functions testable, reliable and reusable. Not to mention making their future work much easier and more efficient. Here at Methods, we have realized the benefits of building R and Python packages to bundle up and test our code for collaboration both internally and with clients. This post will help readers in the data science community see how easy it is to get started developing and testing their own Python package using the pytest framework and GitLab CI.
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