Once again I had to explain to a new student what scipy was, what python was, and what he should read in order to start working with these tools. I have started a "Getting Started" page on the wiki to answer this problem. The idea would be to guide the complete beginner to get him productive as quickly as possible (like the "Getting started" page in matlab). Currently the page is quite empty and pretty bad, but if people start improving it it could be very useful and hopefuly be linked from the front page. The page is not linked by any page yet, but it is accessible at: http://scipy.org/Getting_Started Cheers, Gaël
Gael Varoquaux wrote:
Once again I had to explain to a new student what scipy was, what python was, and what he should read in order to start working with these tools.
I have started a "Getting Started" page on the wiki to answer this problem. The idea would be to guide the complete beginner to get him productive as quickly as possible (like the "Getting started" page in matlab).
very good idea, as I'am starter myself (started 2 weeks ago), I spent a few days typing my first "Python characters". That was until I discovered the Enthought-edition (worth to mention on your page). Secondly, you mention SPE, which crashed 2 times in 5 minutes :-( So I switched to PyScripter (which crashes when doing plots in debug mode), but I can live with that ;-) btw I know it's a wiki, but I feel myself a to newbie. cheers, Stef Mientki
On Fri, Jan 12, 2007 at 12:29:14AM +0100, Stef Mientki wrote:
Gael Varoquaux wrote:
Once again I had to explain to a new student what scipy was, what python was, and what he should read in order to start working with these tools.
I have started a "Getting Started" page on the wiki to answer this problem. The idea would be to guide the complete beginner to get him productive as quickly as possible (like the "Getting started" page in matlab).
very good idea, as I'am starter myself (started 2 weeks ago), I spent a few days typing my first "Python characters". That was until I discovered the Enthought-edition (worth to mention on your page). Secondly, you mention SPE, which crashed 2 times in 5 minutes :-( So I switched to PyScripter (which crashes when doing plots in debug mode), but I can live with that ;-)
btw I know it's a wiki, but I feel myself a to newbie.
Being a 'newbie' is maybe the best time to write documentation -- while you still know what new users need to know, and how to explain it to them simply. Don't feel shy to contribute -- as you say, it's a wiki, so even if you just scratch down a few ideas those will eventually turn into useful paragraphs. Cheers Stéfan
On 11/01/07, Gael Varoquaux <gael.varoquaux@normalesup.org> wrote:
I have started a "Getting Started" page on the wiki to answer this problem. The idea would be to guide the complete beginner to get him productive as quickly as possible (like the "Getting started" page in matlab).
I think this is a good idea! I made some small changes and added an example session, just so potential users could see what it looks like, and what you can do with just a few lines. I'm not sure what all else belongs there - pointers to a tutorial? (Is there a nice "how to work effectively with scipy" tutorial?) Pointers to other web resources? Pointers to specialist packages like PyDS? A. M. Archibald
A. M. Archibald a écrit :
I think this is a good idea! I made some small changes and added an example session, just so potential users could see what it looks like, and what you can do with just a few lines. I'm not sure what all else belongs there - pointers to a tutorial? (Is there a nice "how to work effectively with scipy" tutorial?) Pointers to other web resources? http://www.rexx.com/~dkuhlman/scipy_course_01.html ?
<http://www.nanohub.org/contributors/1/>Hi Gael, apparently not everybody is allowed to edit the pages, I saw yesterday the lecture of Eric Jones, Travis Oliphant, despite the not-overwhelming image quality, I think it's real information for newbies. And if the lecture is too long, at least the handouts are great !! Maybe an idea to add it to "How to learn to use scipy": http://www.nanohub.org/resources/?id=99. Another interesting point for newbies, might be an overview of variable types, what's the difference between list and tupple ? I have put my personal notes on my website, maybe it's worth to include something like this http://oase.uci.kun.nl/~mientki/data_www/pic/jalcc/help/python_vars.html succes, Stef Mientki Gael Varoquaux wrote:
Once again I had to explain to a new student what scipy was, what python was, and what he should read in order to start working with these tools.
I have started a "Getting Started" page on the wiki to answer this problem. The idea would be to guide the complete beginner to get him productive as quickly as possible (like the "Getting started" page in matlab).
Currently the page is quite empty and pretty bad, but if people start improving it it could be very useful and hopefuly be linked from the front page.
The page is not linked by any page yet, but it is accessible at:
http://scipy.org/Getting_Started
Cheers,
Gaël _______________________________________________ SciPy-user mailing list SciPy-user@scipy.org http://projects.scipy.org/mailman/listinfo/scipy-user
Hi Stef, Sorry for taking so long to answer your mail, I am a bit overwhelmed currently. On Wed, Jan 17, 2007 at 12:47:43AM +0100, Stef Mientki wrote:
apparently not everybody is allowed to edit the pages,
Just create an account and log in.
I saw yesterday the lecture of Eric Jones, Travis Oliphant, despite the not-overwhelming image quality, I think it's real information for newbies. And if the lecture is too long, at least the handouts are great !!
The lecture is pretty good as it presents python first and numpy/scipy afterward. It is quite outdated, though (reference to numeric and to another plotting library than matplotlib) so I am not to keen on linking it from the "Getting_Started" page, as it might confuse beginners. The goal of the "Getting_Started" page is not to provide a tutorial, but to proivde links to the minimal amount of reading needed to start hacking in python, and to provide info that is not in tutorials (like wha modules to use, for instance).
Another interesting point for newbies, might be an overview of variable types, what's the difference between list and tupple ? I have put my personal notes on my website, maybe it's worth to include something like this
I think this should go in a mini python tutorial, just like the first part of Travis and Eric's talk. If you want to create a page on the scipy wiki that is a mini python tutorial and add this data to it, I think it would be great. Such a page, combined with Dave Kuhlman's course, would be great to get people started. Regards, Gaël
participants (5)
-
A. M. Archibald -
fred -
Gael Varoquaux -
Stef Mientki -
Stefan van der Walt