This project is a comprehensive reference library and preparation guide for Python technical interviews. It combines theoretical guides on computer science fundamentals and language runtime internals with practical implementation examples of algorithms and data structures.
The repository serves as a curated knowledge base that maps theoretical interview questions to concrete code snippets. It provides technical analysis of Python language internals, including memory management, garbage collection, and the global interpreter lock, alongside a library of creational and structural software design patterns.
Coverage includes a broad range of computer science theory, such as operating systems, networking protocols, and database concurrency. It also features practical implementations of classic sorting and searching algorithms, recursive structures, and advanced language constructs like metaclasses and generators.
