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Python - numpy & scipy
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Published
05/03/2024
np.roll()
Published
05/03/2024
Create a numpy arrray with 1, 2, 3, 4
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05/03/2024
Create an array with: (1.5,2,3) (4,5,6)
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05/03/2024
get 10 samples from a normal distribution with (0,1)
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05/03/2024
What are the dimensions of:import numpy as npy = np.array([[0.0, 1, 2, 3, 4], [5, 6, 7, 8, 9]])
Published
05/03/2024
Force y to be floatdata type import numpy as npx = np.array([[0.0, 1, 2, 3, 4], [5, 6, 7, 8, 9]])y = x
Published
05/03/2024
initialize a 2x2x2 arrray with zero
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05/03/2024
Get 1st columnimport numpy as npy = np.array([[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]])
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05/03/2024
Get the 6th overall elementy = reshape(arange(25.0),(5,5))
Published
05/03/2024
Repeat y 5 times using tiley = [1, 2, 3]
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05/03/2024
calculate the correlation between [1, 2], [2, 4]
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05/03/2024
broadcasting
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05/03/2024
Linear algebra functions
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05/03/2024
Find the inverse of a square matrix
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05/03/2024
Solve a linear system of equation
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05/03/2024
Solve a banded linear system
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05/03/2024
Solve a Hermitian or symmetric banded system
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05/03/2024
Solve a triangular matrix
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05/03/2024
Find the determinant of a square matrix
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05/03/2024
Matrix and vector norm
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05/03/2024
Solve a linear least-squares problem
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05/03/2024
Pseudo-inverse (Moore-Penrose) using lstsq
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05/03/2024
Pseudo-inverse using svd
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05/03/2024
Pseudo-inverse of hermitian matrix
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05/03/2024
Kronecker product of two arrays
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05/03/2024
Construct a lower-triangular matrix from a given matrix
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05/03/2024
Construct an upper-triangular matrix from a given matrix
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05/03/2024
Solve an orthogonal Procrustes problem
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05/03/2024
np.vstack
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05/03/2024
np.hstack
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05/03/2024
What does argsort do?What does this return?x = numpy.array([1.48,1.41,0.0,0.1])
Published
05/03/2024
What does ravel?
Published
05/03/2024
What is the difference between np.arange and np.linspace?
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