Learn Pandas for Data Analysis

📌 Introduction to Pandas

Pandas is a powerful Python library for data analysis. It makes working with structured data effortless, allowing you to manipulate, analyze, and visualize data efficiently.

📥 Installing Pandas

pip install pandas

🛠️ Creating a DataFrame

Let's start by creating a simple DataFrame:

import pandas as pd

data = {'Name': ['Alice', 'Bob', 'Charlie'],
        'Age': [25, 30, 35],
        'City': ['New York', 'Los Angeles', 'Chicago']}

df = pd.DataFrame(data)
print(df)
            

🔍 Basic DataFrame Operations

• df.head() - View the first few rows
• df.info() - Get dataset details
• df.describe() - Summary statistics
• df['Age'].mean() - Calculate the average age

📊 Data Visualization with Pandas

Pandas works well with Matplotlib for quick visualizations:

import matplotlib.pyplot as plt

df['Age'].plot(kind='bar')
plt.show()
            

✅ Conclusion

Pandas is a must-have for any data scientist or analyst. Start exploring and manipulating data with confidence!