I used it to install IPython, with the following results.
First I ran 'pip install ipython', which worked.
Then I read the IPython docs, which gave the following command to install
Notebook -
'pip install ipython[notebook]'
the reason for this is that the notebook has additional dependencies beyond what "plain" ipython requires. adding the [notebook] is supposed to bring those in, but apparetnly did not.
So this is either a bug, or maybe the problem is that you had already installed ipython, so when you did :
'pip install ipython[notebook]'
pip looked and saw that you already had it, so did nothing -- what did itreport? In this caes:
'pip install -U ipython[notebook]'
might have worked: -U means upgrade even if I already have it.
But I"m glad the rest of the pip installs worked, that's pretty new actually!
Note that the "scipy stack" and particularly extra add-on stuff like 3-d visualization, etc, is very hard to build and install -- so a number of folks rely on "distributions" that give you all that in one pile:
Enthought Canopy
Continuum Anaconda
are two such options.
Very odd that pip being hard to figure out might send someone to MS C#:
Is there really a point and clic, out of the box high level interactive computational environment that MS delivers for C# ;-)
Not that we don't need the installation of packages made even easier, butreally!