I\'m new to python and开发者_JS百科 I\'m using Python\'s IDLE. Using numpy, I created a 24 x 24 matrix. I simply want to look at the matrix. I\'ve maximized the shell on my monitor, so there\'s plenty
Numpy allows matrices of different sizes to be added/multiplied/divided provided certain broadcasting rules are followed.Also, creation of temporary arrays is a major speed impediment to numpy.
I have some integer matrices of moderate size (a few hundred rows). I need to solve equations of the form Ax = b where b is a standard basis vector and A is one of my matrices. I have been 开发者_Stac
I\'m thinking of learning lua, i learned that it is a smaller language compared to python and has an efficient JIT compiler implementation in the form LuaJIT.
I\'m using Mac OS X 10.6.8. I installed Python 2.6 using the binary installer in http://www.python.org/. I\'ve been using it along with SciPy and Matplotlib for my scientific computing needs since Mar
I have an RGB image. I want to convert it to numpy array. I did the following im = cv.LoadImage(\"abc.tiff\")
i have a 1D numpy array. Lets look at the following example a = [255,1,255,255,1,255,255,255,2,2,255,255,255,2,2,3,255,255,255,3]
Suppose I have a 16 core machine, and an embarrassingly parallel program.I use lots of numpy dot products and addition of numpy arrays, and if I did not use multiprocessing it would be a no-brainer:Ma
I am writing a code, trying to get used to the C API of NumPy arrays. #include <Python.h> #include \"numpy/arrayobject.h\"
If I have a numpy array like so: [[[137 153 135] [138 154 136] [138 153 138] ..., [134 159 153] [136 159 153]
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