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2 . 6 Use the NumPy 1 inspace function to create vectors equivalent to the following Python statements: ( a ) np . arange (

2.6 Use the NumPy 1 inspace function to create vectors equivalent to the following Python statements:
(a) np.arange (4,35,6)
(b) np.arange (-4,2)
2.7 Use NumPy's a range function to create vectors identical to the
y
following created with the 1 inspace function:
(a)np.l inspace (-2,1.5,8)
(b) np.1 inspace (8,4.5,8)
2.8 The NumPy function, 1 inspace (a,b,n), generates an array of n equally spaced points between a and b. Describe the arange function that will generate the same result. Test your formulation for a=-3,b=5, and n=6.
2.9 The following Python statements create a matrix A:
import numpy as np
a1= np.matrix('(:[',3,2,1]'}
a2=np. matrix (np.arange(0,1,1,.5))
a3= np.matrix (np.1 inspace (6,8,3)
A=np*vstack((a1,a2,a3))
(a) Write out the resulting matrix.
(b) Write two distinct Python commands to matrix multiply the second row by the third column of A. Confirm that these yield the same result, a scalar quantity.
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