NumPy Arrays
Arrays that are provided by NumPy perform much faster than built-in Python lists. These are crucial objects for performing calculations.
To create an array from list, use the .array() method of NumPy, passing list of values as the parameter. For example,
12345678910# Importing the library import numpy as np # List of values val = [1, 2, 3, 4, 5] # Creating a NumPy array arr1 = np.array(val) arr2 = np.array([1, 2, 3, 4, 5]) print(arr1, arr2)
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Arrays that are provided by NumPy perform much faster than built-in Python lists. These are crucial objects for performing calculations.
To create an array from list, use the .array() method of NumPy, passing list of values as the parameter. For example,
12345678910# Importing the library import numpy as np # List of values val = [1, 2, 3, 4, 5] # Creating a NumPy array arr1 = np.array(val) arr2 = np.array([1, 2, 3, 4, 5]) print(arr1, arr2)
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