Learn Arrays Operations | Introduction to NumPy

NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.

For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.


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# Import the library
import numpy as np
# Creating two arrays
arr1 = np.array([1, 2, 3])
arr2 = np.array([10, 20, 30])

# Perform some arrays operations
print(arr1 + 3)
print(arr1 * arr2)

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Thanks for your feedback!

Section 5. Chapter 3

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NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.

For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.


              123456789
            
# Import the library
import numpy as np
# Creating two arrays
arr1 = np.array([1, 2, 3])
arr2 = np.array([10, 20, 30])

# Perform some arrays operations
print(arr1 + 3)
print(arr1 * arr2)

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 3