Linda,
If you're familiar with Matlab syntax, you may find this link interesting:
http://www.scipy.org/NumPy_for_Matlab_Users
Here another couple of useful links
http://www.scipy.org/Tentative_NumPy_Tutorial
http://www.scipy.org/Numpy_Functions_by_Category
For your specific example, if you want t
L. Brooks of M.I.T. sent a professional e-mail with a code fragment that
has worked.
> Friends,
>
>>> Those statements are not demeaning; lighten up.
>> STOP IT. JUST STOP IT. STOP IT RIGHT NOW.
>
> Let us not go to this place, honestly, there is no need. Let's go
> back to the technical problem
Friends,
>> Those statements are not demeaning; lighten up.
> STOP IT. JUST STOP IT. STOP IT RIGHT NOW.
Let us not go to this place, honestly, there is no need. Let's go
back to the technical problem again.
Linda, did you have time to try Alan's example?
Best,
Matthew
__
>
> Those statements are not demeaning; lighten up.
STOP IT. JUST STOP IT. STOP IT RIGHT NOW.
Is there a moderator on the list to put a stop to these kinds of statements?
I deserve to be treated with respect.
I deserve to have my questions treated with respect.
I deserve to receive technical info
On 10/12/2008 2:39 AM Linda Seltzer apparently wrote:
> Please, no demeaning statements like "you forgot
> a parenthesis" or "you were using someone else's code"
> - just the lines of code for a file that actually *works.*
Those statements are not demeaning; lighten up.
And the answer was corr
On Sun, Oct 12, 2008 at 9:11 AM, Linda Seltzer
<[EMAIL PROTECTED]>wrote:
> > Here is an example that works for any working numpy installation:
> >
> > import numpy as npy
> > npy.zeros((256, 256))
> This suggestion from David did work so far, and removing the other import
> line enabled the progra
On Oct 12, 2008, at 5:26 PM, Anne Archibald wrote:
> Python is a dynamically-typed language (unlike C), so variables do not
> have type.
Another way to think of it for C people is that all variables
have the same type, which is "reference to Python object."
It's the objects which are typed, and no
Linda Seltzer wrote:
Here is an example that works for any working numpy installation:
import numpy as npy
npy.zeros((256, 256))
This suggestion from David did work so far, and removing the other import
line enabled the program to run.
However, the data types the program used as defaults f
2008/10/12 Linda Seltzer <[EMAIL PROTECTED]>:
>> Here is an example that works for any working numpy installation:
>>
>> import numpy as npy
>> npy.zeros((256, 256))
> This suggestion from David did work so far, and removing the other import
> line enabled the program to run.
> However, the data ty
> Here is an example that works for any working numpy installation:
>
> import numpy as npy
> npy.zeros((256, 256))
This suggestion from David did work so far, and removing the other import
line enabled the program to run.
However, the data types the program used as defaults for variables has
chang
2008/10/9 David Bolme <[EMAIL PROTECTED]>:
> I have written up basic nearest neighbor algorithm. It does a brute
> force search so it will be slower than kdtrees as the number of points
> gets large. It should however work well for high dimensional data. I
> have also added the option for user d
On Sun, Oct 12, 2008 at 03:11, David Cournapeau <[EMAIL PROTECTED]> wrote:
> On Sun, Oct 12, 2008 at 3:39 PM, Linda Seltzer
> <[EMAIL PROTECTED]> wrote:
>
>> These are the import statements I used:
>> import numpy as npy
>> from numpy.oldnumeric import *
>
> Here is an example that works for any wo
On Sun, Oct 12, 2008 at 3:39 PM, Linda Seltzer
<[EMAIL PROTECTED]> wrote:
> These are the import statements I used:
> import numpy as npy
> from numpy.oldnumeric import *
Here is an example that works for any working numpy installation:
import numpy as npy
npy.zeros((256, 256)).
If those are th
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