If one is experimenting with mathematical computations, one would usually
start interactively, with a jupyter worksheet, an emacs buffer, or just a
terminal with cut&paste. The sage environment is pretty good for that. Once
the project gets larger, one would start to put code into files that are
loaded and possibly even "import"ed. For python code, that is easy: you can
just put the code wherever it is convenient and as long as you make sure
python looks there for packages (e.g. the current directory), an "import"
will do what it is supposed to.
If one uses cython code to make extension modules, things seem to get a
little more complicated, though. For interactive usage the %cython and
cython("...") methods work nicely to incorporate code into a
worksheet/interactive session, but it's not so clear how to spin that off
into a separate module without putting it in the actual sage tree (which
would require write permission on that sage tree!)
Do we have ways to support a workflow for projects that are at a stage that
is in-between "a big worksheet" and "incorporating in the sage library"?
The problem arose specifically when I was looking at
https://github.com/abelfunctions/abelfunctions which packages itself as an
spkg. Obviously, I didn't want to install this (when trying it out!) in a
system-wide sage, but I also didn't want to force the student who needed to
look at it to build a private sage version just to try out a package.
I was thinking about what alternative we have to "spkg" that does work for
users privately. Python packages can be installed specifically for a user,
while still relying on the system-wide python for general support. Is there
an obvious way to support this for cython modules too? If someone knows of
a good tutorial for that kind of thing, I would be very interested!
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