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Solution: Practice Some Basic Methods from the NumPy Library

Explore how to effectively use basic NumPy methods to create arrays with specific values, measure array size, reverse elements, and perform element-wise addition. This lesson helps you practice key NumPy functions and array operations essential for scientific computing and data analysis in Python.

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The solution to the problem of writing a program that uses some basic methods from the NumPy library is given below.

Solution

Python 3.8
import numpy as np
a = np.full(10, 3)
print("An array a of size 10:", a)
print("Memory size of array in bytes:", a.nbytes)
print("Memory size of array's individual element:", a.itemsize)
b = np.linspace(0, 90, 10)
print("Another array b of size 10 with values ranging from 0 to 90:", b)
b = b[::-1]
print("Reverse elements of array b:", b)
c = a + b
print("After adding both arrays:", c)

Explanation

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