May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Basic NumPy array operations
NumPy arrays are Python analogues of mathematical matrices, and so they support the arithmetic manipulation of all basic types, such as addition, subtraction, division, and multiplication.
Let's declare two NumPy arrays and store them as array1 and array2:
array1 = np.array([[10,20,30], [40, 50, 60], [70, 80, 90]])array2 = np.array([[90, 80, 70], [60, 50, 40], [30, 20, 10]])
Now let's look at some examples of each arithmetic operation on these arrays:
- Addition:
- Subtraction:
- Multiplication:
- Division:
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