Python Data Analysis Project

Overview

This project demonstrates the use of Python programming and popular data-analysis libraries. The goal is to organize, process, and analyze information efficiently while following professional software-development practices.

The project uses Python, NumPy, and Pandas to work with structured data.

Project Goals

• Practice Python programming
• Work with numerical data
• Organize information using data structures
• Analyze datasets using Pandas
• Perform calculations with NumPy
• Practice professional documentation

Technologies

Technology	Purpose
Python	Programming language
NumPy	Numerical computing
Pandas	Data analysis and manipulation
GitHub	Version control and collaboration

Important Note

Good documentation makes software easier to understand, maintain, and contribute to.

Example Code

import pandas as pd

data = {
    "Project": ["Alpha", "Beta", "Gamma"],
    "Score": [85, 92, 78]
}

df = pd.DataFrame(data)

average = df["Score"].mean()

print(df)
print("Average Score:", average)