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Introduction
Loops come to us naturally, we learn about Loops in almost all programming languages. So, by default, we start implementing loops whenever there is a repetitive operation. But when we work with a large number of iterations (millions/billions of rows), using loops is a crime. You might be stuck for hours, to later realize that it won’t work. This is where implementing Vectorisation in Python becomes super crucial.
What is Vectorization?
Vectorization is the technique of implementing (NumPy) array operations on a dataset. In the background, it applies the operations to all the elements of an array or series in one go (unlike a ‘for’ loop that manipulates one row at a time).
In this blog, we will look at some of the use cases where we can easily replace Python loops with Vectorization. This will help you save time and become more skillful in coding.
USE CASE 1: Finding the Sum of numbers
First, we will look at a fundamental example of finding the sum of numbers using loops and Vectorization in Python.
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