On 05/05/14 17:02, Francesc Alted wrote: > Well, this might be because it is the place where using several > processes makes more sense. Normally, when you are reading files, the > bottleneck is the I/O subsystem (at least if you don't have to convert > from text to numbers), and for calculating the mean, normally the > bottleneck is memory throughput.
If IDL is burning the CPU while reading a file I wouldn't call that impressive. It is certainly not something NumPy should aspire to do. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
