Welcome to my personal Pandas learning repository! This is a comprehensive collection of Jupyter Notebooks where I explore and learn Pandas for Data Science, covering everything from the basics to advanced topics.

Whether you're a beginner just starting out or someone revising for interviews or real-world projects, this repository is designed to be:

• ✅ Beginner-friendly
• ✅ Rich with hands-on examples
• ✅ Well-documented and easy to follow
• ✅ A valuable resource for learners and professionals alike
• more etc...

• Introduction to Pandas 🐼
• Pandas Series and DataFrames
• Checking the data structure
• Reading & Writing Data (CSV, Excel, more etc...)
• Data Cleaning & Handling Missing Values
• Filtering, Sorting & Indexing
• GroupBy Operations
• Merging, Joining & Concatenation
• Aggregation & Pivot Tables
• Time Series Analysis
• Working with Text Data
• Advanced Pandas Tips & Tricks
• Real-world Use Cases and Projects
• Dataset spliting
• Random and Startified Sampling
• and more etc...