I would use web2py for these requirements, because you get the
authentication/authorization, sessions, DAL (for db access) capabilities
out of the box.
You probably need packages in addition to pydal (for DAL support), on
top of Flask to accomplish this. Look at the gluino example to see what
I mean: https://github.com/mdipierro/gluino
________________________________________
Kiran Subbaraman
http://subbaraman.wordpress.com/about/
On Sat, 24-01-2015 9:53 PM, Eric wrote:
Hi all,
I'm new to web2py and have been working my way through the learning
materials. I have a specific application and am wondering if web2py is
a good choice for a framework or something simpler such as Flask.
Specifically I want to create a web application (for an intranet)
where a user would upload a data file using the standard browser file
dialog, have it analyzed by an algorithm I've written in Python and
then responses plotted on the page and also a file of results savable
using the browsers standard save file dialog. I know enough Python to
handle the file parsing, data analysis and result file generation.
I'll need access to Python libraries such as Numpy. I've discovered
Bokah (http://bokeh.pydata.org) as an attractive plotting library.
They use Flask in their tutorial. I haven't found anything
particularly clear about how to invoke the browser file dialogs.
Eventually I'd like to use a database to archive the uploaded data
files and resulting result files along with other information such as
user, date, instrument serial number, etc.
Thanks,
Eric
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