Python for Data Science

This repository contains my Python for Data Science learning projects. It covers Python basics and essential data science libraries such as NumPy, Pandas, Matplotlib, and Seaborn.

📂 Project Structure

1. Numpy – Pandas

• File: Numpy_Pandas_demo.ipynb
• Covers:
  • NumPy arrays and operations
  • Pandas Series and DataFrames
  • Data manipulation and basic analysis

2. Matplotlib

• File: Matplotlib.ipynb
• Covers:
  • Data visualization
  • Line plots, bar charts, histograms, etc.

3. Seaborn

• File: seaborn.ipynb
• Covers:
  • Advanced statistical data visualization
  • Heatmaps, distribution plots, and more

4. Python Basics

• File: first program.py
• Covers:
  • Basic Python syntax
  • Variables, input/output, and simple logic

🛠 Tools & Technologies

• Python
• NumPy
• Pandas
• Matplotlib
• Seaborn
• Jupyter Notebook
• PyCharm
• Git & GitHub

🎯 Purpose

This repository is created for:

• Learning Python for Data Science
• Practice and revision
• Showcasing my skills to recruiters and collaborators

👩‍💻 Author

Nitisha Sharma
Aspiring Data Analyst | Python & Data Science Learner