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Practice

Introduction to Pandas and DataFrames

Pandas is one of the most useful libraries in Python for working with data. It helps you organize, clean, and explore information in a format similar to Excel or Google Sheets — but with the power of Python.

Instead of using loops or complex logic, you can handle data using simple commands. The two main tools you’ll use in Pandas are:

  • Series: a one-dimensional list with labels.
  • DataFrame: a two-dimensional table (like a spreadsheet).

DataFrame​

Preview: Creating a Simple DataFrame
import pandas as pd

# Create a small DataFrame from a dictionary
data = {
    "Name": ["Alice", "Bob", "Charlie"],
    "Age": [25, 30, 22]
}

df = pd.DataFrame(data)

print(df)

What’s Next?​

Watch the slide deck for a visual breakdown of key Pandas features. In the next lesson, you'll learn how to create and inspect Series and DataFrames.

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