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.
Quiz
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What is one of the main tools used in Pandas for handling two-dimensional data?
In Pandas, a is used to represent data in a two-dimensional table format.
Series
DataFrame
Dictionary
Array
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