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