On Tuesday, May 20, 2014 5:51:27 AM UTC-7, Frank Millman wrote: > 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 it report? 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, but really! -Chris -- https://mail.python.org/mailman/listinfo/python-list