Introduction to Pandas and DataFrames

Pandas is one of the most powerful Python libraries for working with data.

It helps you organize, clean, and explore information in a format similar to Excel or Google Sheets, but with the full power of Python.

Instead of writing loops or complex logic, you can manipulate data with simple, readable commands.

The two main structures you'll use in Pandas are:

• Series: a one-dimensional list with labels
• DataFrame: a two-dimensional table, similar to a spreadsheet

The DataFrame is the most important structure in Pandas. It's a table with rows and columns.

Below is an example of creating a simple DataFrame from a dictionary.

Copy
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)
# Output:
#   Name  Age
# 0  Alice   25
# 1    Bob   30
# 2 Charlie   22