Python Data Science Fundamentals

A curated collection of Jupyter notebooks covering core tools for data analysis and web interactions in Python.

📂 Topics

1. Pandas
   • DataFrame creation and selection (loc, iloc, slicing)
   • Loading data from CSV/Excel/APIs
2. NumPy
   • Array operations, broadcasting, and mathematical functions
3. APIs & HTTP Requests
   • REST API interactions, requests library, and JSON handling

🛠️ Setup

1. Clone the repo:

   git clone https://github.com/yourusername/Python-Data-Science-Fundamentals.git