Differences between OOP and FP: Object-oriented programming (OOP) focuses on organizing code around objects with state and behavior, while functional programming (FP) centers on treating computation as the evaluation of mathematical functions. The choice between them depends on the project's requirements; OOP is often used for complex systems with many interacting objects, while FP is beneficial for tasks involving data transformations and immutability. Threads vs. Processes: Threads are lightweight units of a process that share the same memory space, whereas processes have their separate memory space. Multi-threading improves performance by allowing tasks to run concurrently, but it can introduce issues like race conditions and deadlocks. SOLID Principles: SOLID is an acronym representing five principles of object-oriented design: Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion. These principles promote maintainability, extensibility, and flexibility in software design. Providing specific examples from your experience is essential. Big O Notation: Big O notation describes the upper bound of an algorithm's time complexity in relation to the size of its input. It helps analyze and compare algorithms' efficiency. For instance, an algorithm with O(n) complexity scales linearly with input size, while O(log n) scales logarithmically. Version Control and Git: Version control systems like Git track changes in code repositories, enabling collaboration and history management. Distributed version control systems like Git provide local copies of the entire repository, enhancing flexibility and offline work. Merge conflicts occur when changes in separate branches conflict and need manual resolution, often by selecting which changes to keep or combining them.