Data Structures and Algorithms in C, C++, and Python

Building a strong foundation in computer science starts with understanding how data is organized and manipulated. Whether you are preparing for technical interviews or aiming to write more efficient software, mastering data structures and algorithms is the most critical step in your engineering journey. This text-based course guides you from absolute basics to a confident understanding of core algorithmic concepts. You will explore how to analyze code efficiency, select the correct data structures for specific problems, and study implementations across three major programming languages: C, C++, and Python. By comparing how these languages handle memory and structure, you will develop a deep, language-agnostic intuition for writing optimized code. What you'll learn: - Understand foundational complexity analysis using Big O notation to evaluate time and space efficiency. - Implement essential linear data structures including arrays, linked lists, stacks, and queues. - Master non-linear data structures such as binary trees, AVL trees, and graphs. - Apply recursive thinking and divide-and-conquer strategies to solve complex programming challenges. - Compare language-specific implementations and built-in optimizations, such as Python's collections and C++ Standard Template Library (STL) containers. - Analyze common search and sort algorithms to choose the most efficient approach for any scenario. The course begins with core terminology, memory layouts, and complexity analysis before progressing to step-by-step written explanations of each data structure. You will read detailed code walk-throughs in C, C++, and Python to see how these abstract concepts translate into clean, working code. This course is designed for beginner programmers, computer science students, and self-taught developers preparing for technical interviews. No prior exposure to data structures is required, though a basic familiarity with programming syntax in C, C++, or Python will help you get the most out of the material. Start reading today to build a rock-solid computer science foundation and elevate your coding skills.