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import numpy as np
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a = np.array([4,5,6,7,8,9])
print a
print type(a)
print a.dtype
print a.shape
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b = arange(6)
print b
print type(b)
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a * b
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a ** 2
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print a[1]
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print a[2:4]
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m = arange(1,13).reshape(3,4)
print m
print m.shape
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m[1,2]
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m[:2]
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m[:2,:3]
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m[m > 5] = -1
m
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m2 = arange(60).reshape(6,10)
m2
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m2[[2,3,0]]
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m2[[-1,-2, 2]]
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m2.T
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m3 = arange(40).reshape(10,4)
m3
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product = np.dot(m2,m3)
product
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import matplotlib.pyplot as plt
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plt.imshow(product)
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import matplotlib.image as mpimg
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hwx = mpimg.imread('hortonworks.png')
hwx
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plt.imshow(hwx)
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x = np.array([[1,2,3,4],[4,3,2,1],[5,6,7,8]])
y = np.array([[2,4,6,8],[1,3,5,7],[8,9,10,11]])
print x
print y
np.multiply(x,y)
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