<div dir="ltr"><div>Thanks, St?fan, speed: N ~ 1e9.  Thanks again.<br><br></div>DG<br><div><div><br>----------------------------------------------------------------------<br><div class="gmail_extra"><div class="gmail_quote">
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Message: 1<br>
Date: Sun, 22 Sep 2013 14:04:09 -0700<br>
From: David Goldsmith <<a href="mailto:d.l.goldsmith@gmail.com">d.l.goldsmith@gmail.com</a>><br>
Subject: [Numpy-discussion] Generating a (uniformly distributed)<br>
        random bit      list of length N<br>
To: <a href="mailto:numpy-discussion@scipy.org">numpy-discussion@scipy.org</a><br>
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Is np.random.randint(2, size=N) the fastest way to do this?  Thanks!<br>
<br>
DG<br>
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Message: 2<br>
Date: Mon, 23 Sep 2013 03:22:06 +0200<br>
From: St?fan van der Walt <<a href="mailto:stefan@sun.ac.za">stefan@sun.ac.za</a>><br>
Subject: Re: [Numpy-discussion] Generating a (uniformly distributed)<br>
        random bit list of length N<br>
To: Discussion of Numerical Python <<a href="mailto:numpy-discussion@scipy.org">numpy-discussion@scipy.org</a>><br>
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On 22 Sep 2013 23:04, "David Goldsmith" <<a href="mailto:d.l.goldsmith@gmail.com">d.l.goldsmith@gmail.com</a>> wrote:<br>
><br>
> Is np.random.randint(2, size=N) the fastest way to do this?  Thanks!<br>
<br>
Are you concerned about speed or memory use? The operation you show should<br>
already be quite fast. A more memory efficient approach would be to<br>
generate integers and use their binary representation.<br>
<br>
St?fan<br>
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