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python Programming Glossary: numpy.float32

How to use NumPy array with ctypes?

http://stackoverflow.com/questions/3195660/how-to-use-numpy-array-with-ctypes

data numpy.array 0.1 0.1 0.2 0.2 0.3 0.3 data data.astype numpy.float32 data_p data.ctypes.data_as c_float_p share improve this answer..

In-place type conversion of a NumPy array

http://stackoverflow.com/questions/4389517/in-place-type-conversion-of-a-numpy-array

in place So basically I would like to do a a.astype numpy.float32 without copying the array. It is big. The reason for doing this..

How can I speed up an animation?

http://stackoverflow.com/questions/5003094/how-can-i-speed-up-an-animation

import window glumpy.Window 256 64 Z data.astype numpy.float32 t0 frames t 0 0 0 fig plt.figure figsize 7 7 ax plt.subplot..

numpy float: 10x slower than builtin in arithmetic operations?

http://stackoverflow.com/questions/5956783/numpy-float-10x-slower-than-builtin-in-arithmetic-operations

using numpy.float64 is much slower than Python's float and numpy.float32 is even slower even though I'm on a 32 bit machine . numpy.float32.. is even slower even though I'm on a 32 bit machine . numpy.float32 on my 32 bit machine. Therefore every time I use various numpy.. run much faster as the memory is allocated and ready. Slow numpy.float32 vs. numpy.float64 It appears that numpy has 2 paths it can take..

How to profile PyCuda code with the Visual Profiler?

http://stackoverflow.com/questions/6857384/how-to-profile-pycuda-code-with-the-visual-profiler

multiply_them a numpy.random.randn 400 .astype numpy.float32 b numpy.random.randn 400 .astype numpy.float32 dest numpy.zeros_like.. 400 .astype numpy.float32 b numpy.random.randn 400 .astype numpy.float32 dest numpy.zeros_like a multiply_them drv.Out dest drv.In a..

Benchmarking (python vs. c++ using BLAS) and (numpy)

http://stackoverflow.com/questions/7596612/benchmarking-python-vs-c-using-blas-and-numpy

m2 are set up like this m1 numpy.random.rand i i .astype numpy.float32 m2 numpy.random.rand i i .astype numpy.float32 1. Numpy The.. i i .astype numpy.float32 m2 numpy.random.rand i i .astype numpy.float32 1. Numpy The code used looks like this tNumpy timeit.Timer numpy.dot.. byref n the test code looks like this r numpy.zeros i i numpy.float32 tBlas timeit.Timer Mul m1 m2 i r import numpy from __main__..

How to synthesize sounds?

http://stackoverflow.com/questions/790960/how-to-synthesize-sounds

x freq 100 sample numpy.arange x 4096 x 1 4096 dtype numpy.float32 sample numpy.pi 2 44100 sample freq return numpy.sin sample..

Converting numpy dtypes to native python types

http://stackoverflow.com/questions/9452775/converting-numpy-dtypes-to-native-python-types

convert it to its closest python data type For example numpy.float32 python float numpy.float64 python float numpy.uint32 python..