Another more obscure one: https://github.com/pandas-dev/pandas/issues/27206 https://github.com/pandas-dev/pandas/issues/27206 All of a sudden, a numpy release

Another more obscure one: https://github.com/pandas-dev/pandas/issues/27206 https://github.com/pandas-dev/pandas/issues/27206 All of a sudden, a numpy release pulls in a new version for a pandas build (that incidentally breaks for py2) This without involving a "~=", but rather because pandas needs to build from source, and chooses the latest numpy build to do so.