Two Sum is more than a beginner coding problem—it teaches core algorithmic thinking, hash map usage, and time–space trade-offs. This guide walks through brute-force and optimized solutions in Python, explaining complements, hash maps, and complexity analysis in a clear, interview-focused way.
Python functions are the foundation of clean, maintainable code. This guide helps you move away from spaghetti code by applying the DRY principle, understanding function anatomy, mastering arguments and scope, and using professional practices like docstrings and type hints to write reusable Python code.
Python tuples are more than just lists with parentheses. Built around immutability and data integrity, tuples enable safer data sharing, better performance, and powerful features like unpacking, hashability, and named tuples. This guide explains when and why to use tuples, how they differ from lists, and how they can make your Python code clearer and more reliable.
Python dictionaries are a core data structure that power fast lookups and clean data modeling in real-world applications. This guide takes you beyond the basics, covering best practices, built-in methods, performance insights, and advanced techniques like dictionary comprehensions and defaultdict to help you write more efficient and professional Python code.
Python lists are one of the most powerful and commonly used data structures in the language. This guide takes beginners beyond the basics, explaining how lists work in memory, how to modify and slice them, and how to avoid common pitfalls while writing clean, readable Python code.