Github user rgbkrk commented on the issue:
https://github.com/apache/spark/pull/8318
> How will it work if users want to run a different version of PySpark from
a different version of Spark (maybe something they installed locally)? How can
they easily swap that out? We don't want this making it harder to use Spark
against a real cluster because the version you got from pip is wrong.
They have to deal with normal Python packaging semantics. Right now, _not_
making it pip installable and importable actually makes it harder for us. We
then rely on [findspark](https://github.com/minrk/findspark) to resolve the
package (plus some amount of ritual to start the JVM...) In case you're
wondering, yes I use Spark against a real live large cluster and so do users I
support.
> Can we make an account that's shared by all the committers somehow?
You can. However, it's easier to give access rights to each individual on
PyPI.
> Can we sign releases?
Yes, you can GPG sign them.
> In particular, does anyone have examples of other ASF projects that
publish to PyPI?
[libcloud](https://libcloud.apache.org/)
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