Python Coding Test Core: Theory and Problem Solving

Preparing for technical interviews requires more than just knowing a language; it requires a deep understanding of how to solve complex problems efficiently. This course guides you through the core logic behind common coding test patterns, enabling you to write clean, optimized code that meets industry standards. What you'll learn: - Understand fundamental data structures such as arrays, linked lists, stacks, and queues - Apply essential search and sort algorithms to solve practical programming tasks - Implement modern Python features like type hints to improve code clarity and maintainability - Analyze time and space complexity using Big O notation to evaluate solution efficiency - Practice recursive thinking and dynamic programming to tackle complex logic problems - Master common interview patterns including greedy algorithms and graph traversal The material begins with essential terminology and foundational definitions before progressing to structured problem-solving strategies. You will read detailed written explanations and study practical code snippets designed to build your algorithmic confidence step-by-step. This course is specifically designed for beginners who have a basic grasp of Python and want to prepare for their first technical interviews. No prior experience with algorithms or data structures is required. Start building your technical interview skills through structured reading and practice.