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I'm a CS major in university working on a programming project for my Calc III course involving singular-value decomposition. The idea is basically to convert an image of m x n dimensions into an m x n matrix wherein each element is a tuple representing the color channels (r, g, b) of the pixel at point (m, n). I'm using Python because it's the only language I've really been (well-)taught so far. From what I can tell, Python generally doesn't like tuples as elements of an array. I did a little research of my own and found a workaround, namely, pre-allocating the array as follows: def image_to_array(): #converts an image to an array aPic = loadPicture("zorak_color.gif") ph = getHeight(aPic) pw = getWidth(aPic) anArray = zeros((ph,pw), dtype='O') for h in range(ph): for w in range(pw): p = getPixel(aPic, w, h) anArray[h][w] = (getRGB(p)) return anArray This worked correctly for the first part of the assignment, which was simply to convert an image to a matrix (no linear algebra involved). The part with SVD, though, is where it gets trickier. When I call the built-in numPy svd function, using the array I built from my image (where each element is a tuple), I get the following error: Traceback (most recent call last): File "<pyshell#5>", line 1, in -toplevel- svd(x) File "C:\Python24\Lib\site-packages\numpy\linalg\linalg.py", line 724, in svd a = _fastCopyAndTranspose(t, a) File "C:\Python24\Lib\site-packages\numpy\linalg\linalg.py", line 107, in _fastCopyAndTranspose cast_arrays = cast_arrays + (_fastCT(a.astype(type)),) ValueError: setting an array element with a sequence. This is the same error I was getting initially, before I did some research and found that I could pre-allocate my arrays to allow tuples as elements. The issue now is that I am only in my first seme

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