[Tutor] Using numpy Array Capabilities

[Wayne Watson]

I'm pretty sure numpy can manipulate arrays, but I'm barely familiar 
with it. Basically, what I would like to do is to take a list like:

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

and convert it to;
[['0x0', '0x1', '0x2', '0x3', '0x4'], ['0x5', '0x6', '0x7', '0x8', '0x9']]

That is, it becomes a matrix of 2 rows and 5 columns. I generated the 
above from a loop in Python, and generated hex equivalents in the last 
list.  Can numpy do this simply without resorting to loops? How would 
one code it?

I think numpy produces an array like object, but it's not necessarily 
the same as Python. However, the numpy arrays are going to be input into 
an object that expects numpy arrays.

-- 
           Wayne Watson (Watson Adventures, Prop., Nevada City, CA)

             (121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time)
              Obz Site:  39° 15' 7" N, 121° 2' 32" W, 2700 feet  

           All the neutrons, and protons in the human body occupy 
           a cube whose is 5.52*10**-6 meters. That adds up to a 
           150 pound person. It's not a surprise that we are mostly 
           space. (Calculation by WTW)