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


-- 
Miro Hrončok
--
Phone: [phone]
IRC: mhroncok

[Nick Coghlan]

On 5 April 2017 at 05:00, Miro Hrončok <mhroncok(a)redhat.com&gt; 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.

-- 
Nick Coghlan   |   ncoghlan(a)gmail.com   |   Brisbane, Australia

[Igor Gnatenko]

On Wed, Apr 5, 2017 at 7:13 AM, Nick Coghlan <ncoghlan(a)gmail.com&gt; wrote:
>  On 5 April 2017 at 05:00, Miro Hrončok <mhroncok(a)redhat.com&gt;
> 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   |   ncoghlan(a)gmail.com   |   Brisbane, Australia
>  _______________________________________________
>  python-devel mailing list -- python-devel(a)lists.fedoraproject.org
>  To unsubscribe send an email to python-devel-leave(a)lists.fedoraproject.org 


-- 
-Igor Gnatenko

[Christian Dersch]

On 04/05/2017 08:17 AM, Igor Gnatenko wrote:
>  On Wed, Apr 5, 2017 at 7:13 AM, Nick Coghlan
> <ncoghlan(a)gmail.com&gt; wrote:
> > On 5 April 2017 at 05:00, Miro Hrončok <mhroncok(a)redhat.com&gt; 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 <ncoghlan(a)gmail.com&gt; wrote:
> >> On 5 April 2017 at 05:00, Miro Hrončok <mhroncok(a)redhat.com&gt; 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.

-- 

Miro Hrončok
--
Phone: [phone]
IRC: mhroncok

[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 <chrisdersch(a)gmail.com&gt; 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
--
Phone: [phone]
IRC: mhroncok

[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 <ncoghlan(a)gmail.com&gt; wrote:
> >>> On 5 April 2017 at 05:00, Miro Hrončok <mhroncok(a)redhat.com&gt; 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

-- 
Miro Hrončok
--
Phone: [phone]
IRC: mhroncok