NumPy: Compute the multiplication of two given matrixes
NumPy: Linear Algebra Exercise-1 with Solution
Write a NumPy program to compute the multiplication of two given matrixes.
Sample Matrix:
[[1, 0], [0, 1]] [[1, 2], [3, 4]]
Matrix multiplication, and the detailed calculation:
Sample Solution :
Python Code :
import numpy as np
p = [[1, 0], [0, 1]]
q = [[1, 2], [3, 4]]
print("original matrix:")
print(p)
print(q)
result1 = np.dot(p, q)
print("Result of the said matrix multiplication:")
print(result1)
print(result2)
Sample Output:
original matrix: [[1, 0], [0, 1]] [[1, 2], [3, 4]] Result of the said matrix multiplication: [[1 2] [3 4]]
Python-Numpy Code Editor:
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Find current directory and file's directory:
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import os dir_path = os.path.dirname(os.path.realpath(__file__))
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To get the current working directory use
import os cwd = os.getcwd()
Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
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