Nigel Rowe a écrit : > On Thu, 19 Apr 2007 19:11, Antoon Pardon wrote in comp.lang.python: >> On 2007-04-19, Michael Bentley <[EMAIL PROTECTED]> wrote: > > <snip type="various irrelevances to my comment below" /> > >>> The learning curve is rather steep IMO, but worth it. >> Just a throw in remark, that you may ignore if you wish, but a steep >> learning curve means that the subject is easily familiarized and that >> the learning period is short. >> >> You seem to use it as if it is the opposite. >> > > Who says the axes are labeled "familiarity" and "learning period"? I > just assume they are labeled (y-axis) "Effort" and (x-axis) "Knowledge" > (or "skill" or ....). > > Which means that something with a 'steep learning curve' requires a lot > of effort to achieve a small amount of knowledge (or skill or ...).
Funny, I would have placed on the x axis the time, and on the y axis "Knowledge". And Effort = lambda*time where lambda is the amount of effort per minute you are able to produce. Thus I always found it weird to call a steep learning curve something hard to learn. Disclaimer: I have never made any study in that field, never read any reports or anything like that. It just feels much more natural for me to place the time on the x axis. -- http://mail.python.org/mailman/listinfo/python-list
