What is Pandas?

Pandas is a powerful Python library used for data manipulation and analysis. It provides tools to work with structured data, especially in tables like CSVs and Excel files.

The two main data structures in Pandas are:

• Series: A one-dimensional labeled array
• DataFrame: A two-dimensional labeled table (like an Excel spreadsheet)

Importing Pandas

To use Pandas, you first need to import it:

import pandas as pd

The pd is a common alias and is used in nearly all Pandas code.

Reading a CSV File

You can load a CSV file into a Pandas DataFrame with:

import pandas as pd
df = pd.read_csv("data.csv")
print(df)

This reads the CSV and gives you a clean table format to work with.

Why This Matters in Analytics

Pandas is the industry standard for data analytics in Python. It allows you to easily clean, analyze, and manipulate data in just a few lines of code.

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