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Difference between List and Numpy Array
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Numpy - Numerical Python
#pip install numpy
import numpy as np
x = [1,2,3,4.7,"python"]
x
OUTPUT:
[1, 2, 3, 4.7, 'python']1. Less storage
2. More Speed
A List cannot handle mathematical operations.
Numpy array can handle mathematical operations.
x = [1,2,3,4]
y = [4,5,6,7]
x+y
OUTPUT:
[1, 2, 3, 4, 4, 5, 6, 7]x = np.array([1,2,3,4])
y = np.array([5,6,7,8])
x+y
OUTPUT:
array([ 6, 8, 10, 12])
List is hetrogenous
Array is homogeneous
all the elements should always be the same
x= np.array([1,2,3,5.6,"python"])
xOUTPUT:
array(['1', '2', '3', '5.6', 'python'], dtype='<U32')Lesson Assignment
Challenge yourself with our lab assignment and put your skills to test.
# Python Program to find the area of triangle
a = 5
b = 6
c = 7
# Uncomment below to take inputs from the user
# a = float(input('Enter first side: '))
# b = float(input('Enter second side: '))
# c = float(input('Enter third side: '))
# calculate the semi-perimeter
s = (a + b + c) / 2
# calculate the area
area = (s*(s-a)*(s-b)*(s-c)) ** 0.5
print('The area of the triangle is %0.2f' %area).png)
