Difference Between Numpy and Python
To understand the difference between two you need to understand what is NumPy and what is pandas? And what is the purpose of them? Let’s understand one by one:
What is NumPy?
Numpy means numerical python
It's the short form of numerical python
Why do we use it?
When you want to do any array-based or matrix-based computation, calculation and data analysis then it is better to use NumPy
How it could be helpful?
you can do complex calculations very easily with the help of NumPy, for example:
-
If you want to multiply or add two or more arrays, you need not run any
loop, using NumPy you can just multiply or add them like any other
scalar entity:
For Example:
Similarly, you can perform any element-wise operations easily without using any loop with the help of NumPy.
What is Pandas?
Pandas
stand for “Python Data Analysis". It is the most popular tool(python
package) to do data cleaning and analysis fast and easy.
Similarities in NumPy and pandas
pandas
adopted many coding styles from NumPy. Pandas also use the same style
of working as the NumPy uses it gives preference for data processing
without loops.
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