"Beyond Code: Critical Thinking in Data Structures and Algorithms is a conceptual and reflective book that shifts the focus from writing syntactically correct programs to developing strong problem-solving and analytical skills. Rather than treating data structures and algorithms as isolated technical topics, the book emphasizes why certain approaches work, when to apply them, and how to reason about trade-offs in real-world scenarios. The central theme of the book is that mastering algorithms is not just about memorization, but about cultivating critical thinking. It encourages readers to analyze problems deeply before jumping into code, understand constraints, and evaluate multiple solution strategies. Concepts such as time and space complexity are presented as decision-making tools rather than abstract formulas, helping readers justify their design choices logically. Beyond Code also highlights the importance of abstraction, modeling, and decomposition. Readers are guided to break complex problems into manageable components, select appropriate data structures, and adapt algorithms when requirements change. Case-based discussions and thought-provoking examples illustrate how small design decisions can significantly impact performance, scalability, and maintainability. Another key contribution of the book is its emphasis on mindset. It promotes curiosity, questioning assumptions, and learning from failure—skills that are essential for both academic success and professional software development. The book bridges the gap between theoretical knowledge and practical application, making it especially valuable for students transitioning from learning basic programming to tackling advanced computational problems. Overall, Beyond Code serves as a guide to thinking like a computer scientist, equipping readers with the intellectual tools needed to solve problems effectively, not just write code that works"