Data Structures, Recursion, and Object-Oriented Programming with Python

Building scalable software requires a deep understanding of how data is structured and processed. This comprehensive text-based course bridges the gap between theoretical computer science concepts and practical software development. You will progress from foundational programming paradigms to designing highly efficient systems using modern Python and SQL. By following this structured text-only curriculum, you will transition from writing basic scripts to engineering well-structured, object-oriented code. You will learn to evaluate program performance, manage complex data storage, and implement classic algorithms with confidence. What you'll learn: - Understand the core principles of Object-Oriented Programming, including inheritance, encapsulation, and type hinting - Design and implement classic data structures such as linked lists, trees, and graphs from scratch - Master recursive thinking to solve complex, nested problems with elegant and efficient code - Analyze runtime complexity using Big O notation to optimize application performance - Write efficient SQL queries to organize, filter, and retrieve data from relational databases - Apply modern Python conventions, including dataclasses and virtual environments, to keep your code clean and maintainable The course begins with foundational definitions and key terminology, establishing a solid conceptual base. From there, you will explore object-oriented design, dive deep into recursion and data structures, and conclude with practical database integration techniques. This course is designed for beginner to intermediate programmers who want to strengthen their computer science fundamentals. No prior experience with advanced algorithms or data structures is required. Start reading today to build a stronger foundation in software engineering and database design.