Python & Big Data Technical Question Bank

Technical question bank and interview preparation repository focused on Python OOP principles, data structures, and big data concepts.

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📖 Question Bank Modules

1. Python_OOP_Assignment.txt

• Core Object-Oriented Programming (OOP) paradigms in Python.
• Class definitions, instance variables, class methods, and static methods.
• Inheritance hierarchies, method overriding, super() resolution, and polymorphism.
• Encapsulation, dunder methods (__init__, __str__, __repr__), and abstract base classes.

2. PythonAssignment-1.txt

• Syntax mechanics, type coercion, and memory referencing in Python.
• Mutable vs. immutable types (lists, tuples, dicts, sets).
• Generator expressions, iterators, and memory-efficient streaming.

3. Assignment.txt

• Scalable data processing fundamentals and Big Data architectural paradigms.
• MapReduce conceptual logic, distributed data partitions, and compute-storage separation.
• ETL pipeline bottlenecks, schema evolution, and serialization tradeoffs.

🎯 Purpose

Designed as an exhaustive self-study, interview preparation, and assessment bank for Python engineers and Big Data architects.

📄 License

This repository is licensed under the GNU Affero General Public License v3.0 - see the LICENSE file for details.