I can't even be called a novice in either Perl or Python, but... I believe one of the big virtue of Python is code readability. IIRC that was one of the original design goals of Python. (There is a quote: "Python is beautiful, but Perl is more fun.")
Cheers, Andy > -----Original Message----- > From: Bashir Saghir (Aztek Global) > [mailto:[EMAIL PROTECTED] > Sent: Monday, March 31, 2003 9:24 AM > To: 'Tanya Murphy'; Bashir Saghir (Aztek Global); > [EMAIL PROTECTED] > Subject: RE: [R] Statistical computing > > > <snip> > >Saghir, why do you prefer Python? > <snip> > > I was thinking about learning Perl many years ago and I asked > my system > admin for advice. His enthusiasm for Python steered me away > from Perl and > I've been hooked since. Basically it is easy to learn and program > development is quick. > Saghir > > > >===== Original Message From "Bashir Saghir (Aztek Global)" > > <[EMAIL PROTECTED]> ===== > > >Dear Tanya, > > > > > >Have you considered using Python (www.python.org) instead > of Perl? I use > > >Python, LaTeX, and R for doing what you describe. My > process is evolving > > and > > >cannot recommend it as being the best. Essentially I am > moving towards a > > >database approach currently using dictionaries in Python. > In the longer > > term > > >I plan to switch to MySQL. > > > > > >In summary I split the problem into bits that link into a > relational > > >database and use meta data to run my reports. So once the > data base is > > set > > >up I only need to give the key information and my programs find all > > relevant > > >information in the database meaning that I never need to modify any > > programs > > >to run a report with new data - just the database. > > > > > >I don't know of any references for this bnut if you get any to your > > original > > >query I would be interested. > > > > > >Best regards, > > >Saghir > > > > > >> -----Original Message----- > > >> From: Tanya Murphy [SMTP:[EMAIL PROTECTED] > > >> Sent: Friday, 28 March, 2003 5:42 PM > > >> To: r-help > > >> Subject: [R] Statistical computing > > >> > > >> Hello, > > >> > > >> I've been trying to familiarize myself with the > computing tools of the > > >> trade > > >> (e.g. SAS, R, Perl, LaTex) and I've been getting > somewhere with the > > >> individual > > >> programs, but I'm trying to get a better sense of how to > integrate > > these > > >> tools. I'd like to use scripts and create reports in a > more organized > > way. > > >> Can > > >> anyone recommend books or, better yet free online > articles, on this > > topic? > > >> > > >> Maybe I should be a little more specific about what I do: I'm a > > research > > >> assistant in clinical epidemiology doing mainly data > management and > > >> analysis. > > >> I do a number of repetitive tasks like updating a > research database > > from > > >> the > > >> original clinic database and other sources, create > reports, create > > >> graphical > > >> output for individual patients, as well as work on > individual research > > >> projects. Unfortunately I am not working closely with 'real' > > statisticians > > >> who > > >> have probably developped good work habits using these > tools. Any advice > > on > > >> > > >> 'the big picture' would be greatly appreciated. > > >> > > >> Thanks! > > >> > > >> Tanya Murphy > > >> > > > > > --------------------------------------------------------- > Legal Notice: This electronic mail and its attachments are > intended solely > for the person(s) to whom they are addressed and contain > information which > is confidential or otherwise protected from disclosure, except for the > purpose they are intended to. Dissemination, distribution, or > reproduction > by anyone other than their intended recipients is prohibited > and may be > illegal. If you are not an intended recipient, please > immediately inform the > sender and send him/her back the present e-mail and its > attachments and > destroy any copies which may be in your possession. > --------------------------------------------------------- > > [[alternate HTML version deleted]] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > ------------------------------------------------------------------------------ ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
