Gary Bernhardt Python's long history of testing has focused primarily on integration- and system-level tests: slow-running tests executing lots of code. These are a great start, but many of them can be transformed into unit-level tests. True unit tests are orders of magnitude faster (about 1ms each), providing quicker feedback and better failure localization. We'll look at why and how to write them.
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