Thanks all, my client actually wants the output at a minimum time. On Thu, Aug 29, 2013 at 11:30 PM, Ralf Gommers <[email protected]>wrote:
> > if you have a reasonably large amount of data (say O(100)), > > I need to deal with nearly 2**19 or 2**20 arrays of length about 250 each. On Thu, Aug 29, 2013 at 11:30 PM, Ralf Gommers <[email protected]>wrote: > > > > On Thu, Aug 29, 2013 at 3:41 PM, Jonathan T. Niehof <[email protected]>wrote: > >> On 08/29/2013 09:33 AM, Anubhab Baksi wrote: >> > Hi, >> > I need to know about the relative speed (i.e., which one is faster) of >> > the followings: >> > 1. list and numpy array, tuples and numpy array >> > 2. list of tuples and numpy matrix (first one is rectangular) >> > 3. random.randint() and numpy.random.random_integers() >> > > Hi Anubhab, if you have a reasonably large amount of data (say O(100)), > always try to use numpy arrays and not lists or tuples - it'll be faster. > I'd recommend not to use numpy.matrix, it's speed will be similar to numpy > arrays but it has some peculiarities that you'd rather not deal with. For > the random numbers I'm not sure without checking, just timing it in ipython > with %timeit is indeed the way to go. > > Cheers, > Ralf > > >> African or European? >> > > Why on earth would you ask that? > > > >> It really depends on what you're doing with it. The ipython %timeit >> magic is pretty useful for answering that question. Note that the answer >> may change dramatically based on the size of the data set. >> >> -- >> Jonathan Niehof >> ISR-3 Space Data Systems >> Los Alamos National Laboratory >> MS-D466 >> Los Alamos, NM 87545 >> >> Phone: 505-667-9595 >> email: [email protected] >> >> Correspondence / >> Technical data or Software Publicly Available >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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