Python Tutorial - Filtering Rows and Columns in Pandas Using Conditionals.

In this tutorial, I’ll walk you through how to filter rows and columns in a Pandas DataFrame using conditionals—one of the most powerful techniques in data analysis!

🔍 What You’ll Learn:
✅ How to filter rows based on conditions (e.g., greater than, less than, equals)
✅ Using multiple conditions with AND (&) and OR (|) operators
✅ Filtering columns dynamically for targeted analysis
✅ Combining .loc[] and .iloc[] for precise data selection
✅ Practical examples with real-world datasets

Filtering data effectively is a crucial skill for data analysts and data scientists. Whether you're working on data cleaning, EDA (Exploratory Data Analysis), or reporting, mastering conditional filtering will boost your efficiency and accuracy!

Tools Used:
✔️ Python
✔️ Pandas

💬 Have questions or suggestions? Drop them in the comments below!

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