I have a few ideas to make this thing more engaging and more interesting, but for now I plan to leave Shibby as is.  Let me know if you’d like to see other visualizations/features.  Otherwise, enjoy :).

c = pg.connect("database_name", "host", 5432, "opt", "tty", "user", "password")
r = c.query("select * from foo")
print r.dictresult()

Note that opt, tty, and password can be None depending on your postgres authentication scheme.  See the complete pg documentation for more info.  I’ll update this further as I explore more.

I can say with a strait face that Django has made my quality of life higher.

Django: web programming nirvana.

Let’s see, where do I begin.  Python makes lots of things really, really easy — things like date formating, date comparisons, db interaction, list manipulation, etc.  The list goes on.  Its built-in support for dictionaries and tuples make it super easy to never, ever define a Java Bean-style class, yet they’re in many ways more powerful than C-style structs.

Python module (egg) support is unreal.  A module exists for just about any task you’d ever want to fulfil — modules for XHTML parsing, modules for URL fetching, etc.

In summary, Python has the speed and flexibility of Perl, with much more powerful built-in support.

Complaints: all member functions need to have the “self” parameter as the first parameter.  In order to have a Python file execute something, one must add a line, “if __name__ ==’__main__’:.”  This is just weird.

Mmmmm.  Python.

Update: I forgot about my biggest complaint of all: how Python deals with default parameters.  Read more here, or take a look at the quote below:

Default parameter values are evaluated when the function definition is executed. This means that the expression is evaluated once, when the function is defined, and that that same “pre-computed” value is used for each call.