To begin using Pandas, you first need to install it. Pandas can be installed using Python’s package manager, pip:

pip install pandas

After installation, import the library into your Python script or interactive environment:

import pandas as pd

The alias pd is a convention followed by most users for brevity.

Core Data Structures in Pandas

1. Series:

• A one-dimensional array with labels (indexes).
• Example:

import pandas as pd
data = pd.Series([10, 20, 30], index=['a', 'b', 'c'])
print(data)

Output:

a    10
b    20
c    30
dtype: int64

2. DataFrame:

• A two-dimensional table with rows and columns, much like a spreadsheet.
• Example:

data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}
df = pd.DataFrame(data)
print(df)

Output:

    Name  Age
0    Alice   25
1      Bob   30
2  Charlie   35

3. Indexing:

• Pandas supports label-based and positional indexing.
• Example of accessing elements by index:

print(df['Name'])  # Access a column
print(df.loc[0])   # Access a row by label
print(df.iloc[1])  # Access a row by position