I don't know if this has been talked about, I 
couldn't find it in the PEPs, newsgroup or web site.

I use PV-WAVE, a matrix manipulation language similar to 
MatLab and IDL.  PV-WAVE and IDL have the same ancestry. 
Python, along with arrays from Numeric Python makes a 
pretty good substitute for PV-WAVE.  Plus there are many 
simularities in syntax between Python and PV-WAVE.

PV-WAVE code:

PV-WAVE> a=[10,20,30,40,50,60,70,80,90]
PV-WAVE> b=[0,4,5,7]
PV-WAVE> c=a(b)
PV-WAVE> print,c
[10, 50, 60, 80]

Non-contiguous indexing or is it non-contiguous slicing?  
Actually it should probably be called dicing.  :-)

Anyway, I would really like that for Python, so here 
goes...

I find myself doing the following to replicate PV-WAVE's 
behavoir:

>>> a=[10,20,30,40,50,60,70,80,90]
>>> b=[0,4,5,7]
>>> c=[] 
>>> for i in b:
...   c.append(a[i])
...
>>> c
[10, 50, 60, 80]

First, just taking the idea from PV-WAVE, for example:

>>> c=a[0,4,5,7]
>>> c
[10,50,60,80]

Extending it to include ranges:

>>> a[0:3,6:-1]
[10,20,30,70,80]

Maybe overlapping ranges and mix of indexing and 
slicing:

>>> a[0:4,3:4,0:-1,-1]
[10,20,30,40,40,10,20,30,40,50,60,70,80,90]

There are some issues:  
 The comma is used in Numerical Python to seperate the 
array coordinates, so a[0:3,6:-1] is already a 
legitimate Numerical Python statement. 
 It isn't very pretty.

Maybe have a 'dice()' function?

>>> a=[10,20,30,40,50,60,70,80,90]
>>> b=[0,4,5,7]
>>> c=a.dice(b)    # or c=dice(a,b)  ?
>>> c
[10,50,60,80]

Thanks for Python!