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TOPIC: Creating 2D & 3D Arrays using NumPy arange. PROCESS: Combine np.arange() to generate data and .reshape() to set ...

import numpy as np # Base 2D Array (4x3) arr_2d = np.array([ [1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12] ]) print(f"Base 2D ...

import numpy as np # Base 3D Array (2x2x3) arr_3d = np.array([ [[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]] ]) print(f"Base 3D ...

import numpy as np # Base Array (12 elements) arr = np.arange(1, 13) print(f"Base Array: {arr}\n") # Example 1: Reshape 1D to 2D ...

Learn how to use NumPy boolean indexing to select entire subarrays based on conditions applied to their elements, preserving ...