Python Data Structures and Algorithms for Technical Interviews

Preparing for technical interviews can feel overwhelming when faced with complex algorithmic challenges. This course bridges the gap by teaching you how to think like a computer scientist using clear, structured Python code. You will transition from writing basic scripts to designing highly efficient, optimized solutions. By reading detailed written explanations, analyzing step-by-step code walkthroughs, and practicing with classic interview problems, you will build a deep intuitive understanding of how data structures and algorithms work under the hood. What you'll learn: - Understand foundational computer science concepts, starting with big-O notation, time and space complexity, and basic Python syntax. - Implement essential data structures from scratch, including arrays, linked lists, stacks, queues, trees, and graphs. - Apply modern Python features like type hints and dataclasses to write clean, readable, and robust algorithmic code. - Master core algorithmic strategies such as recursion, sorting, searching, and dynamic programming. - Analyze and optimize code performance using systematic complexity analysis. - Practice solving common coding interview patterns and challenge problems through detailed written exercises and code walkthroughs. The course begins with essential programming foundations and complexity theory before guiding you step-by-step through core data structures and advanced algorithmic paradigms. You will learn through clear written breakdowns and structured code snippets designed to build your problem-solving confidence. This course is designed for beginner programmers, self-taught developers, and computer science students preparing for technical interviews, with no prior algorithms experience required. Start reading today to build a strong foundation in data structures and algorithms and take the next step in your software engineering career.