Python Basics for Data Science – Keywords, Variables, Data Types, Indentation & More | Data Science

🚀 Welcome to Swhizz Technologies!

Master the foundation of Python in this power-packed session! We’ll explore Keywords, Identifiers, Comments, Indentation, Statements, Variables, and Data Types — all essential building blocks for writing clean and efficient Python code.

📘 What’s Covered in This Video:
✅ What are Keywords & Identifiers in Python
✅ Single-line & Multi-line Comments
✅ Importance of Indentation in Python
✅ Python Statements – Simple vs Compound
✅ Declaring & Using Variables
✅ Data Types in Python – int, float, str, bool, list, tuple, dict, set

👨‍💻 Ideal For:
Beginners starting their Data Science journey
Students & professionals switching to Python
Anyone wanting a strong Python foundation
💡 Real-time examples explained for better understanding!
📍 Learn Python the Right Way with Swhizz Technologies
✅ Expert Trainers | ✅ Hands-on Sessions | ✅ Career-Oriented Training
📌 Subscribe for the complete Python for Data Science series!
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