Yes, I do use python for scientific applications and enums are one of the things I miss - I've built around it in python 2.x by using this construct: def e

Yes, I do use python for scientific applications and enums are one of the things I miss - I've built around it in python 2.x by using this construct: def enum(*sequential, **named): enums = dict(zip(sequential, range(len(sequential))), **named) return type('Enum', (), enums) Init = enum("NOTHING_LOADED", "DEPENDANT_ENTRYNODE_ATTRIBUTES_LOADED", "ROUTINENODE_ATTRIBUTES_LOADED", "DECLARATION_LOADED" ) myState = Init.NOTHING_LOADED 3.x is still a non starter for me since many clusters where I want my software to work still only come with 2.6, e.g. I can't even use dictionary comprehensions. Adoption for scientific software is heavily influenced by how many external dependencies you have - requiring users without root access to compile python 3.x for their cluster home is a no-go.