From a269499c99f46be3d2ac087ff58c1e43888aa09a Mon Sep 17 00:00:00 2001
From: Lingamuneni Santhosh Siddhardha
 <103999924+Santhosh-Siddhardha@users.noreply.github.com>
Date: Mon, 13 May 2024 14:20:18 +0530
Subject: [PATCH] Update Pandas_Series_Vs_NumPy_ndarray.md

Extended Introduction
---
 contrib/pandas/Pandas_Series_Vs_NumPy_ndarray.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/contrib/pandas/Pandas_Series_Vs_NumPy_ndarray.md b/contrib/pandas/Pandas_Series_Vs_NumPy_ndarray.md
index d60a058..e71282b 100644
--- a/contrib/pandas/Pandas_Series_Vs_NumPy_ndarray.md
+++ b/contrib/pandas/Pandas_Series_Vs_NumPy_ndarray.md
@@ -1,6 +1,9 @@
 # Pandas Series Vs NumPy ndarray
 
 NumPy ndarray and Pandas Series are two fundamental data structures in Python for handling and manipulating data. While they share some similarities, they also have distinct characteristics that make them suitable for different tasks.
+
+While both NumPy ndarray and Pandas Series are essential tools for data manipulation in Python, Choosing between them depends on the nature of your data and the specific tasks you need to perform.
+
 ## NumPy ndarray (n-dimensional array)
 
 NumPy is short form for Numerical Python, provides a powerful array object called `ndarray`, which is the backbone of many scientific and mathematical Python libraries.