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| import numpy as np
arr4 = np.array([1, 2, 3, 4, 5])
even_nums = arr4[arr4 % 2 == 0]
print(even_nums)
arr5 = np.array([3, 1, 4, 2, 5])
sorted_arr5 = np.sort(arr5)
print(sorted_arr5)
matrix1 = np.array([[1, 2], [3, 4]])
matrix2 = np.array([[5, 6], [7, 8]])
concatenated = np.concatenate((matrix1, matrix2), axis=0)
print(concatenated)
split_arr = np.array([1, 2, 3, 4, 5, 6])
split_parts = np.split(split_arr, 3)
print(split_parts)
reshape_arr = np.array([1, 2, 3, 4, 5, 6])
reshaped = np.reshape(reshape_arr, (2, 3))
print(reshaped)
arr6 = np.array([1, 2, 2, 3, 3, 3, 4, 4, 4, 4])
unique_vals = np.unique(arr6)
print(unique_vals)
arr7 = np.array([10, 20, 30, 40, 50])
index = np.where(arr7 == 30)
print(index)
arr8 = np.array([[1, 2, 3], [4, 5, 6]])
print(np.min(arr8, axis=1)) print(np.max(arr8, axis=0)) print(np.mean(arr8, axis=1)) print(np.std(arr8, axis=0))
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