What is Pandas?

Pandas is a Python library that provides quick, versatile, and expressive data structures for working with “relational” or “labelled” data. Its goal is to serve as the foundation for undertaking realistic, real-world data analysis in Python.

Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks. 

Why Pandas?

Python was capable of data preparation before Pandas, but it only offered limited assistance for data analysis. As a result, Pandas entered the picture and improved data analysis skills. It can conduct the five major processes required for data processing and analysis, regardless of the data’s origin, namely load, manipulate, prepare, model, and analyse.

Pandas is one of the most popular and well-liked data science tools for wrangling and analysing data in the Python computer language.

In the actual world, data is inherently messy. When it comes to cleaning, transforming, manipulating, and analysing data, Pandas is a game changer.

What Can Pandas Do?

Pandas makes it simple to do many of the time consuming, repetitive tasks associated with working with data, including:

• Data cleansing
• Data fill
• Data normalization
• Merges and joins
• Data visualization
• Statistical analysis
• Data inspection
• Loading and saving data
• And much more

Installation of Pandas

Pandas is fairly simple to install if you already have Python and PIP installed on your machine.

Install it using this command:

pip install pandas

If you are using conda, then you can install it using below command.

conda install pandas

Import Pandas

Once Pandas is installed, use the import keyword to include it in your applications:

import pandas

That is it for today, This series goes continue so stay tune to us, hope it helps. If you have any suggestion for this article please make a comment in comment section below.

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