It depends on how long you think this app will be in service and how
critical it is. Will you be the only maintainer, or will there be
multiple programmers? If it is a relatively small project, and
maintained by only you, then I don't think it matters. However, if you
plan for this to be a multi-year project with lots of money put into it,
I would opt for the framework. Successful prototypes have a strange way
of turning into multi-year projects...
Using a framework exposes you (and your team) to best practices and
patterns, at least as the makers of the framework view the world. This
generally leads to better maintainability and an overall higher velocity
in the long run. It shouldn't take more than a day or two to get
familiar with it, so it can't hurt.
Laurence
On 10/15/2011 8:40 AM, Rich Shepard wrote:
I'm seeking advice. The scientific application I'm developing stores
chemical, biotic, and other attributes in a postgres database. This
will be
a client/server application, not Web based. Some queries will be hard
coded
because they'll be commonly asked (similar to the balance sheet and
income
statement reports from an accounting application), and other queries
will be
specified by the users where they set the criteria using checkboxes, text
boxes for dates, and similar wxPython widgets.
What I want to learn from those with experience is whether there
might be
advantages for me in this application by learning and using SQLalchemy
rather than psycopg2.
I've scanned the SQLA docs and wiki but have not seen any advantage
from
my using it. Then again, I'm not a professional python programmer or
postgres DBA/application developer so I may very well be missing critical
information. SQLA seems to have a longer learning curve than does
psycopg2
(which is so similar to the pysqlite I've used that there should be
minimal
learning involved in using it).
Your thoughts?
Rich
_______________________________________________
Portland mailing list
[email protected]
http://mail.python.org/mailman/listinfo/portland
_______________________________________________
Portland mailing list
[email protected]
http://mail.python.org/mailman/listinfo/portland
