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pip and virtualenv has been solving the problem and is the standard for ever. other people tried different approaches, like, pipenv and is just that, a separat
by aprdm 8y ago
pip and virtualenv has been solving the problem and is the standard for ever.
other people tried different approaches, like, pipenv and is just that, a separate project trying to solve the same problem.
I don't know why / who said that pipenv is the official recommended way, if it is it should not be and I hope it is not.
- xapata 8y agoThe Python community is not monolithic. PyPA has made some decisions that others might disagree with.
- craftsman 8y ago> I don't know why / who said that pipenv is the official recommended way, if it is it should not be and I hope it is not. The Python Packaging Authority says that pipenv is the first "recommended way" for managing application dependencies: https://packaging.python.org/guides/tool-recommendations/#application-dependency-management https://packaging.python.org/guides/tool-recommendations/#ap... Except if pipenv doesn't meet your needs. Then use pip. Or, if you need cross-platform support, use buildout. Or, if you are doing scientific computation, don't use any of those, use conda, Hashdist, or Spack. Or if you need to create a package, use setuptools and twine. So, no, pip and virtualenv don't solve the problem, because there are a lot of different problems and use-cases. I can say from my experience that conda is _the_ best solution to the problem for scientific work.