The doc of Julia is far from helpful. Most time, you should try it to learn what it actually does.
On Friday, April 15, 2016 at 4:21:41 AM UTC+2, Sheehan Olver wrote: > > > When the course is over I'll give a description of any issues encountered > using Julia for teaching. At the moment there are two big ones: the error > messages are hard for students to parse, and the documentation is > incomplete. An example of the latter that came up is > > *help?> **reshape* > > search: *reshape* p*r*omot*e*_*shape* > > > reshape(A, dims) > > > Create an array with the same data as the given array, but with > different dimensions. An > > implementation for a particular type of array may choose whether the > data is copied or > > shared. > > > > It is not clear at all that dims means two (or more) numbers. > > On Friday, April 15, 2016 at 12:17:40 PM UTC+10, Sheehan Olver wrote: >> >> >> >> I'm currently lecturing the course MATH3076/3976 Mathematical Computing >> at U. Sydney in Julia, and thought that others may be interested in the >> resources I've provided: >> >> http://www.maths.usyd.edu.au/u/olver/teaching/MATH3976/ >> >> The lecture notes and labs are all Jupyter notebooks. I've also included >> a "cheat sheet" of Julia commands used in the course >> >> >> http://nbviewer.jupyter.org/url/www.maths.usyd.edu.au/u/olver/teaching/MATH3976/cheatsheet.ipynb >> >> The course is ongoing (it's about half through) and will continue to take >> shape, but any feedback is of course welcome! >> >> >> Sheehan Olver >> >
