Importing Pandas conventions

Introduction

We import pandas to use its tools for working with tables of data easily.

When you want to read data from files like CSV or Excel.

When you need to organize data into tables for analysis.

When you want to clean or change data quickly.

When you want to calculate statistics or summaries from data.

When you want to save your data back to a file.

Syntax

Pandas

import pandas as pd

We use as pd to give pandas a short name for easier typing.

This is the most common way to import pandas in data science.

Examples

This is the standard way to import pandas with the short name pd.

Pandas

import pandas as pd

You can import pandas without a short name, but you must type pandas every time.

Pandas

import pandas

This imports only the DataFrame part of pandas, useful if you only need that.

Pandas

from pandas import DataFrame

Sample Program

This code imports pandas as pd, creates a small table with names and ages, and prints it.

Pandas

import pandas as pd

data = {'Name': ['Anna', 'Ben', 'Cara'], 'Age': [28, 34, 22]}
df = pd.DataFrame(data)
print(df)

Important Notes

Always import pandas at the start of your script to use its features.

Using pd is a widely accepted convention and helps others read your code easily.

Summary

Import pandas using import pandas as pd to work with data tables.

Using the short name pd makes your code cleaner and easier to write.

Pandas helps you read, organize, and analyze data efficiently.