Interactive computing via IPython continues to dominate AI workflows despite the rise of specialized IDEs. Developers rely on its cell-based execution to debug complex tensors in real-time. This preference persists because rapid iteration beats static scripting. Practitioners should prioritize mastering interactive shells to accelerate model prototyping and data exploration cycles.