10. Numpy Vs. Python List (Part 4) [ Convenience ] [Explained Practically]

In this Numpy tutorial video, we are going to prove that Numpy is more convenient to you as compared to the Python List
Jump to coding part: 0:51

NumPy is a library for the Python programming language which helps in Machine Learning, Deep Learning, Image processing, etc, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

We will discuss similarities and differences between list and NumPy array in detail.

Advantages of using NumPy Arrays:

The most important benefits of using it are :

It consumes less memory.
It is fast as compared to the python List.
It is convenient to use.

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 Thank you all for watching

[kvnpatel]

in case anybody is trying with for loop, doesnt work either
print "Hello World"
height=[1.67, 1.74, 1.56]
weight=[66.2, 56.3, 63.6]
bmi=[]
for i in range(0, len(height)+1):
print (weight[i])
print (height[i])
bmi[i]=weight[i] + height[i]
print (bmi)


Output
Hello World
66.2
1.67

Traceback (most recent call last):
File "Code", line 8, in <module>
IndexError: list assignment index out of range