This repository is a structured guide to mastering Python Tuples, one of the most fundamental and versatile data structures in Python.
It features 10 practical tasks, starting from basic tuple creation and operations to advanced use cases like nested tuples and tuple unpacking.
Perfect for beginners and learners who want to strengthen their understanding of tuple manipulation, data handling, and Pythonic patterns.
| 🧪 Task File | 📄 Description | 📷 Output Screenshot |
|---|---|---|
| task 1.py | 🔹 Create a tuple and check type |  |
| task 2.py | 🔹 Indexing and slicing tuples |  |
| task 3.py | 🔹 Tuple concatenation & repetition |  |
| task 4.py | 🔹 Membership testing & iteration |  |
| task 5.py | 🔹 Tuple methods: count() & index() |  |
| task 6.py | 🔹 Built-in functions with tuples (len, max, min, sum, sorted) |  |
| task 7.py | 🔹 Tuple packing and unpacking |  |
| task 8.py | 🔹 Nested tuple navigation |  |
| task 9.py | 🔹 Using tuples as dictionary keys |  |
| task 10.py | 🔹 Advanced tuple unpacking (swapping variables) |  |
✅ What I Practiced
📌 Creating tuples and understanding immutability
🔹 Indexing, negative indexing, and slicing
➕ Concatenation and repetition operations
🔄 Iterating through tuples and membership testing
📊 Using tuple methods (count, index)
📈 Applying built-in functions (len, max, min, sum, sorted)
✏️ Tuple packing and unpacking
🗂️ Navigating nested tuples
🔑 Using tuples as dictionary keys
🔁 Advanced Pythonic techniques like variable swapping
👨💻 About Me
📊 Sunil Kumar Reddy Punnati
🎓 MCA Graduate | 💼 Data Analyst Intern
📍 Tirupati, India
💡 Passionate about Python, data analysis, and building impactful scripts
🚀 Actively preparing for full-time roles in data analytics and software development
I believe in learning by doing, and this project reflects my commitment to mastering Python fundamentals with clean, structured coding.
🔗 Connect With Me
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ℹ️ Summary
A curated set of Python Tuple tasks that progress from beginner to advanced concepts.
Each task includes code files and output screenshots to help learners confidently understand tuple operations.