ipykernel to recommend stuff?

[Miro Hrončok]

Hi,

I got this idea that the python{2,3}-ipykernel packages could recommend 
some modules useful to use in the Jupyter Notebook.

Recommends:
  * numpy
  * matplotlib

Not sure if should be recommended or suggested:
  * pillow
  * scikit-image
  * scikit-learn
  * scipy
  * statsmodels
  * sympy
  * pandas

What do you think? It would mean that a user who dnf installs notebook 
gets some opt-outable things useful in the notebook. And who uses the 
Python 2 kernel, will get the Python 2 version.

This would also drag the things to the Python Classroom Notebook which I 
think is good - it will make the Notebook much easier to use for 
teaching Python for science - without the need to start with virtualenvs 
first or install additional packages. But of course it would also make 
the image bigger.

Also see [1] for relevant issue just for the Python Classroom Lab.

[1] 
https://github.com/fedora-python/fedora-kickstarts-python-classroom/issues/1

[Nick Coghlan]

On 5 April 2017 at 05:00, Miro Hrončok  wrote:
> Hi,
>
> I got this idea that the python{2,3}-ipykernel packages could recommend some
> modules useful to use in the Jupyter Notebook.
>
> Recommends:
> numpy
> matplotlib
>
> Not sure if should be recommended or suggested:
> pillow
> scikit-image
> scikit-learn
> scipy
> statsmodels
> sympy
> pandas

I'd move `pandas` into the "recommends", but `suggests` seems
reasonable to me for the others.

Definite +1 from me for the general idea though.

Cheers,
Nick.

[Igor Gnatenko]

On Wed, Apr 5, 2017 at 7:13 AM, Nick Coghlan  wrote:
> On 5 April 2017 at 05:00, Miro Hrončok  wrote:
> > Hi,
> >
> > I got this idea that the python{2,3}-ipykernel packages could recommend some
> > modules useful to use in the Jupyter Notebook.
> >
> > Recommends:
> > numpy
> > matplotlib
> >
> > Not sure if should be recommended or suggested:
> > pillow
> > scikit-image
> > scikit-learn
> > scipy
> > statsmodels
> > sympy
> > pandas
>
> I'd move `pandas` into the "recommends", but `suggests` seems
> reasonable to me for the others.

Note that Suggests are "ignored" by DNF, it is used only for
"favoring" packages if there are multiple provides.
> Definite +1 from me for the general idea though.
>
> Cheers,
> Nick.
>
> --
> Nick Coghlan   |   [e-mail]   |   Brisbane, Australia
> _______________________________________________
> python-devel mailing list -- [e-mail]
> To unsubscribe send an email to [e-mail]

[Christian Dersch]

On 04/05/2017 08:17 AM, Igor Gnatenko wrote:
> On Wed, Apr 5, 2017 at 7:13 AM, Nick Coghlan  wrote:
> > On 5 April 2017 at 05:00, Miro Hrončok  wrote:
> > > Hi,
> > >
> > > I got this idea that the python{2,3}-ipykernel packages could recommend some
> > > modules useful to use in the Jupyter Notebook.
> > >
> > > Recommends:
> > > numpy
> > > matplotlib
> > >
> > > Not sure if should be recommended or suggested:
> > > pillow
> > > scikit-image
> > > scikit-learn
> > > scipy
> > > statsmodels
> > > sympy
> > > pandas
> >
> > I'd move `pandas` into the "recommends", but `suggests` seems
> > reasonable to me for the others.
>
> Note that Suggests are "ignored" by DNF, it is used only for
> "favoring" packages if there are multiple provides.

Nice :) At least scipy (which is a core package just like numpy and 
matplotlib) and pandas should be recommended. For the Classroom Lab I 
think it would be nice to have the other packages too for scientific 
Python classes, but I think they should be added via a group or the 
kickstart itself to avoid bothering anyone who installs ipykernel.

Greetings,
Christian

[Miro Hrončok]

On 5.4.2017 10:31, Christian Dersch wrote:
> On 04/05/2017 08:17 AM, Igor Gnatenko wrote:
> > On Wed, Apr 5, 2017 at 7:13 AM, Nick Coghlan  wrote:
> > > On 5 April 2017 at 05:00, Miro Hrončok  wrote:
> > > > Hi,
> > > >
> > > > I got this idea that the python{2,3}-ipykernel packages could
> > > > recommend some
> > > > modules useful to use in the Jupyter Notebook.
> > > >
> > > > Recommends:
> > > > numpy
> > > > matplotlib
> > > >
> > > > Not sure if should be recommended or suggested:
> > > > pillow
> > > > scikit-image
> > > > scikit-learn
> > > > scipy
> > > > statsmodels
> > > > sympy
> > > > pandas
> > >
> > > I'd move `pandas` into the "recommends", but `suggests` seems
> > > reasonable to me for the others.
> >
> > Note that Suggests are "ignored" by DNF, it is used only for
> > "favoring" packages if there are multiple provides.
>
> Nice :) At least scipy (which is a core package just like numpy and
> matplotlib) and pandas should be recommended. For the Classroom Lab I
> think it would be nice to have the other packages too for scientific
> Python classes, but I think they should be added via a group or the
> kickstart itself to avoid bothering anyone who installs ipykernel.

OK, proposal:

Recommend from pythonX-ipykernel:

pythonX-matplotlib
     pythonX-numpy
     pythonX-pandas
     pythonX-scipy

Have @pythonX-science groups in comps with:

(all of the above)
     pythonX-pillow
     pythonX-scikit-{image,learn}
     pythonX-statsmodels
     {python3-,}sympy (there's no python2-sympy)
     pythonX-matplotlib-tk and python3-pillow-tk conventionalized by X11*

Add both comps groups to the Python Classroom Lab.

* X11 is also installed when we run on Wayland.

[Christian Dersch]

On 04/05/2017 11:03 AM, Miro Hrončok wrote:
> OK, proposal:
>
> Recommend from pythonX-ipykernel:
> pythonX-matplotlib
> pythonX-numpy
> pythonX-pandas
> pythonX-scipy
>
> Have @pythonX-science groups in comps with:
> (all of the above)
> pythonX-pillow
> pythonX-scikit-{image,learn}
> pythonX-statsmodels
> {python3-,}sympy (there's no python2-sympy)
> pythonX-matplotlib-tk and python3-pillow-tk conventionalized by X11*
>
> Add both comps groups to the Python Classroom Lab.
> X11 is also installed when we run on Wayland.

+1 for that proposal!

Greetings,
Christian

[Thomas Spura]

Christian Dersch  schrieb am Mi., 5. Apr. 2017 um
11:19 Uhr:
> On 04/05/2017 11:03 AM, Miro Hrončok wrote:
> > OK, proposal:
> >
> > Recommend from pythonX-ipykernel:
> > pythonX-matplotlib
> > pythonX-numpy
> > pythonX-pandas
> > pythonX-scipy
> >
> > Have @pythonX-science groups in comps with:
> > (all of the above)
> > pythonX-pillow
> > pythonX-scikit-{image,learn}
> > pythonX-statsmodels
> > {python3-,}sympy (there's no python2-sympy)
> > pythonX-matplotlib-tk and python3-pillow-tk conventionalized by X11*
> >
> > Add both comps groups to the Python Classroom Lab.
> > X11 is also installed when we run on Wayland.
>
> +1 for that proposal!

+1, sounds good!

Best,
   Thomas

[Miro Hrončok]

On 5.4.2017 11:03, Miro Hrončok wrote:
> pythonX-matplotlib-tk and python3-pillow-tk conventionalized by X11*

should have been "conditionalized"

[Miro Hrončok]

On 5.4.2017 11:03, Miro Hrončok wrote:
> On 5.4.2017 10:31, Christian Dersch wrote:
> > On 04/05/2017 08:17 AM, Igor Gnatenko wrote:
> > > On Wed, Apr 5, 2017 at 7:13 AM, Nick Coghlan  wrote:
> > > > On 5 April 2017 at 05:00, Miro Hrončok  wrote:
> > > > > Hi,
> > > > >
> > > > > I got this idea that the python{2,3}-ipykernel packages could
> > > > > recommend some
> > > > > modules useful to use in the Jupyter Notebook.
> > > > >
> > > > > Recommends:
> > > > > numpy
> > > > > matplotlib
> > > > >
> > > > > Not sure if should be recommended or suggested:
> > > > > pillow
> > > > > scikit-image
> > > > > scikit-learn
> > > > > scipy
> > > > > statsmodels
> > > > > sympy
> > > > > pandas
> > > >
> > > > I'd move `pandas` into the "recommends", but `suggests` seems
> > > > reasonable to me for the others.
> > >
> > > Note that Suggests are "ignored" by DNF, it is used only for
> > > "favoring" packages if there are multiple provides.
> >
> > Nice :) At least scipy (which is a core package just like numpy and
> > matplotlib) and pandas should be recommended. For the Classroom Lab I
> > think it would be nice to have the other packages too for scientific
> > Python classes, but I think they should be added via a group or the
> > kickstart itself to avoid bothering anyone who installs ipykernel.
>
> OK, proposal:
>
> Recommend from pythonX-ipykernel:
> pythonX-matplotlib
> pythonX-numpy
> pythonX-pandas
> pythonX-scipy
>
> Have @pythonX-science groups in comps with:
> (all of the above)
> pythonX-pillow
> pythonX-scikit-{image,learn}
> pythonX-statsmodels
> {python3-,}sympy (there's no python2-sympy)
> pythonX-matplotlib-tk and python3-pillow-tk conventionalized by X11*
>
> Add both comps groups to the Python Classroom Lab.
> X11 is also installed when we run on Wayland.

After talking to others (notably pviktori), I've decided to:

* add pillow to the recommends as well
  * only create and include the python-science group for python 3