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#16 Python Data Structures Made Easy | Data Science for Beginners in Tamil

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Welcome to Episode 16 of our Data Science with Python & Machine Learning series in Tamil! In this video, we’re diving into one of the most important basics for every data science learner — Python’s built-in data structures. Whether you’re just starting out or brushing up your skills, this episode will make these concepts super simple and practical to use in real-world projects.

📚 What You'll Learn Today:
✅ Difference between Lists, Sets, Tuples, and Dictionaries
✅ How to use Sets in Python — what makes them unique and when to use them
✅ Learn about mutable and immutable properties of Python collections
✅ Real-time examples of adding, removing, and managing elements in Sets
✅ Why Sets don’t support indexing and how to work around that
✅ Common mistakes beginners make while working with data structures

⏳Timestamps for Quick Navigation:
[00:00] – Starting Episode 16 with a quick intro and why this topic is super useful for data science learners.
[02:37] – Full introduction to Python data structures. Explained about Lists, Sets, Tuples, and Dictionaries in a simple way.
[05:23] – What is a Set in Python? Why it only allows unique values — explained clearly.
[08:48] – Talking about one-dimensional Sets. No indexing or slicing here — how to handle that? Covered everything.
[11:11] – Mutable Sets explained. How to add and remove elements easily with built-in functions.
[14:22] – How to manage elements inside a Set? What happens if you add a duplicate? See it live here.
[16:45] – Covered List functions like append, extend, clear with examples. Very useful for beginners.

🔥 Who Should Watch This Video?
🎓 Beginners in Python programming
💼 Career switchers & data science learners
📊 Freelancers exploring logic-based applications
🖥️ Anyone interested in gamifying coding practice

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📤 Share this podcast with friends and colleagues who want to break into the world of data science and succeed in the future job market.

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