Le 11/06/2011 18:22, Les Mikesell a écrit :
> On 6/11/11 11:08 AM, Alain Péan wrote:
>>>> So this was my first-ever vim script. So far I am not convinced about
>>>> vim scripting (ok, I was warned, too)... Test cycle is slow (modify
>>>> script, quit the realfile, open realfile again with vim -s script).
>>>> Verbal error messages would be useful. There is supposed to be
>>>> "integrated debugger". I would like to know more.
>>> I'd still recommend learning to do it in perl as being likely faster and more
>>> generally useful, especially if the sql db you mentioned can be accessed
>>> directly. The regeps will be approximately the same and it is easy to find perl
>>> example code for DBI operations and manipulating files. And unlike working in
>>> shell/awk/editors, you very seldom find an operation that perl can't do itself
>>> so it often ends up simpler than the shell wrapper you need for other tools.
>>>
>> I hope not to begin a flame war, but I would recommend Python. It can do
>> the same things as Perl (regexp ansd so on), but is easier and faster to
>> learn, and the code is also much more readeable...
> There is sort-of a tradeoff in the syntax choices between the languages. Perl
> is easier to write because it is flexible and you can use a syntax that
> resembles something you already know (shell/c/awk) with simple changes. That
> makes other peoples perl less readable, but not your own. The other win for
> perl is that any operation that would take more than a page of code that you are
> likely to want to do has almost certainly already been done and is available as
> a module on CPAN (and possibly packaged as an rpm). Does python have anything
> to match that yet? How many database types can it access with available
> modules? Perl's DBI/DBD connector list is pretty large.
>
Here it is. It seems to me rather large, even if I don't know the
equivalent list for Perl :
http://wiki.python.org/moin/DatabaseInterfaces
There are also a very large number of Python modules available, and
tools to easily install them, for example there :
http://pypi.python.org/pypi
Alain
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