Data Analysis with Python A collection of Python scripts and exercises focused on data analysis using libraries like Pandas, built and maintained in VS Code.

📁 Repository Structure Code

🔍 What's Inside Pandas Basics Hands-on exercises covering core Pandas concepts, including: Creating and manipulating DataFrames and Series Indexing, slicing, and filtering data Grouping, aggregating, and summarizing datasets Handling missing/null values Reading and writing CSV/Excel files Data cleaning and transformation

🚀 Getting Started Prerequisites Make sure you have Python 3.x and pip installed. Bash Installation Clone the repository Bash Install required libraries Bash Run a script Bash

🛠️ Tech Stack Tool Purpose Python 3.x Core language Pandas Data manipulation & analysis VS Code Development environment

📈 Progress [x] Pandas basics (Series, DataFrames) [x] Indexing and filtering [x] GroupBy and aggregations [ ] Data visualization (Matplotlib/Seaborn) [ ] NumPy fundamentals [ ] Real-world datasets / projects

🤝 Contributing This is a personal learning repository, but suggestions and feedback are welcome! Fork the repo Create a feature branch (git checkout -b feature/your-idea) Commit your changes (git commit -m 'add: your change') Push and open a Pull Request

📝 Notes All code is written and tested in VS Code Scripts are structured for learning purposes — each exercise is self-contained

📬 Contact sagarcode-ds — GitHub Profile Happy coding! 🐍