Charles R Harris wrote:
> The cash economy is nothing to sniff at ;) It is big in NYC and other
> places with high taxes and bureaucratic meddling. Cash was one of the great
> inventions.
Yeah, there is a Sicilian New Yorker called "Gambino" who has been
advertising "protection from ISIS" in Eur
Charles R Harris wrote:
> As a strawman proposal, how about dropping moving to 2.7 and 3.4 minimum
> supported version next fall, say around numpy 1.12 or 1.13 depending on how
> the releases go.
>
> I would like to here from the scipy folks first.
Personally I would be in favor of this, becaus
On 07/12/2015 09:38, numpy-discussion-requ...@scipy.org wrote:
Message: 4
Date: Sun, 06 Dec 2015 22:01:40 -0500
From: "DAVID SAROFF (RIT Student)"
To: Discussion of Numerical Python
Cc: Stefi Baum
Subject: Re: [Numpy-discussion] array of random numbers fails to
construct
Message-ID:
On Dec 7, 2015 3:41 AM, "Sydney Shall" wrote:
> In fact, biological evolution does just the opposite. [...]
Hi all,
Can I suggest that any further follow-ups to this no-doubt fascinating
discussion be taken off-list? No need to acknowledge or apologize or
anything, just trying to keep the noise
On Mon, Dec 7, 2015 at 2:25 AM, Sturla Molden
wrote:
> Charles R Harris wrote:
>
> > The cash economy is nothing to sniff at ;) It is big in NYC and other
> > places with high taxes and bureaucratic meddling. Cash was one of the
> great
> > inventions.
>
> Yeah, there is a Sicilian New Yorker ca
>> >
>> > Is the interp fix in the google pipeline or do we need a workaround?
>> >
>>
>> Oooh, if someone is looking at changing interp, is there any chance
>> that fp could be extended to take complex128 rather than just float
>> values? I.e. so that I could write:
>>
>> >>> y = interp(mu, theta,
David,
>I'm concluding that the .astype(np.uint8) is applied after the array is
constructed, instead of during the process.
That is how python works in general. astype is a method of an array, so
randint needs to return the array before there is something with an astype
method to call. A dtype
On Sun, Dec 6, 2015 at 6:55 PM, Allan Haldane
wrote:
>
> I've also often wanted to generate large datasets of random uint8 and
> uint16. As a workaround, this is something I have used:
>
> np.ndarray(100, 'u1', np.random.bytes(100))
>
> It has also crossed my mind that np.random.randint and np.ra
Hi All,
I'm pleased to announce the release of Numpy 1.10.2rc2. After two months of
stomping bugs I think the house is clean and we are almost ready to put it
up for sale. However, bugs are persistent and may show up at anytime, so
please inspect and test thoroughly. Windows binaries and source r
