📌 Learning Python for Data Analysis Welcome to my Learning Python repository! 🚀

This repository is my personal learning space where I document my journey in mastering Python for data analysis and data science.

🗂 Chapters Covered
✅ Chapter 1: Introduction to Python for Data Analysis

~ Why Python for data analysis? ~ Installing Python & setting up Jupyter Notebook ~ Python syntax, variables, and data types ~ Chapter assessment

✅ Chapter 2: Control Flow and Functions

~ Why Control Flow and Functions Matter? ~ Conditional Statements (if, else, elif) ~ Loops (for, while) ~ Writing Functions (def, return, lambda functions) ~ List Comprehensions ~ Chapter assessment

🔹 More chapters coming soon! I will keep updating this repository as I progress.

📖 How to Use This Repository Each chapter is saved as a Jupyter Notebook (.ipynb). You can download or clone this repository to follow along.

💡 Future Topics Data Manipulation with Pandas Data Visualization SQL & Python Integration Machine Learning Basics

🛠 How to Contribute (Optional) If you have suggestions or improvements, feel free to open an issue or fork the repository.

📩 Stay tuned for updates! 🚀