Coding Interview Prep: Patterns for Large-Scale Tech Problems

Preparing for technical coding interviews can feel overwhelming when you try to memorize hundreds of individual problems. The secret to success lies in recognizing the core algorithmic patterns that solve entire classes of scale, routing, and logistics challenges. This text-only course guides you through the foundational concepts and step-by-step logic needed to tackle complex coding questions. You will learn how to break down real-world scenarios—such as recommendation algorithms and logistics optimization—into clear, structured code. What you'll learn: - Understand foundational data structures and their Big O space and time complexities. - Identify common algorithmic patterns like sliding windows, two pointers, and graph traversals. - Analyze logistics and routing problems using modern, clean code principles and type hints. - Apply greedy algorithms and dynamic programming to recommendation engine scenarios. - Practice dry-running your code step-by-step to explain your thought process clearly during interviews. The course begins with core definitions and complexity analysis before moving into detailed walkthroughs of classic problem patterns. You will read through comprehensive explanations, conceptual breakdowns, and optimized code implementations. This course is designed for aspiring software engineers and developers preparing for technical interviews, with no advanced prerequisites other than a basic familiarity with programming concepts. Start reading today to build a systematic approach to technical interviews.