Pandas Part 1 | Data Science with Python

📊 Pandas Tutorial Part 1 | Data Science with Python

In this session, we start our journey with Pandas, one of the most powerful Python libraries for data science and data analysis.
I’ll walk you step by step through the basics of exploring and manipulating data in Pandas with clear examples.

🔹 Topics Covered:

head() & tail() → Previewing datasets
sort_values() & sort_index() → Sorting data
Custom Index → Creating and using custom labels
Changing values inside a DataFrame
Dropping columns (drop())
.loc[] (Row/Column selection – Part 1)
Difference between Copy vs View in Pandas
This session is perfect for beginners in Data Science who want to build a strong foundation before moving to advanced topics.

✅ What’s Next (Part 2):

More on .loc[] & .iloc[]
Conditional filtering
Adding new columns
Dataset summary methods (info(), describe())
👉 Don’t forget to Like, Share & Subscribe if you’re following this Pandas series! 🚀

#Pandas #DataScience #Python #DataAnalysis

Видео Pandas Part 1 | Data Science with Python канала CodeStarter