On 26/06/19 4:56 AM, Alan Gauld via Tutor wrote:
On 25/06/2019 15:52, Sinardy Xing wrote:
My question is, how currently all of this great technology glue together
and as a final product for the enduser. Because I cant imagine that we
install Anaconda Jupyter Notebook at frontend for the enduser to use it,
and give end user bunch of *.py
You sort of can and there are tools for wrapping it all up in an
installable package. More commonly you create a desktop application
using the GUI toolkit of your choice and generate the graphical output
and display it yourself (using pyplot etc)
NB this is NOT intended as a discussion about the specifics of the OP's
situation, nor of the OP personally!
This illustrates an interesting (at least to me?us) side-effect: in
order to reduce "cognitive load" we often introduce training by using
the most straight-forward or 'simple' tools. In this case Jupyter (which
I think a most marvellous invention).
However, such illustrative devices are often not what is used in the
'average' development department (assuming there is such a thing). Thus
the training meets the knowledge-need (we hope) but not the requirements
of practical application in the work-place.
On the other hand, should training in Python, and more specifically, the
likes of matplotlib, involve any forlorn attempt at universal coverage
of 'the programmer's tool-set'?
Your thoughts?
--
Regards =dn
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