Intermediate Python covers concepts that go beyond the basics to help developers write more efficient and organized code. It includes topics like object-oriented programming (classes and objects), file handling, error and exception management, and working with modules and packages. Learners also explore list comprehensions, lambda functions, and regular expressions for cleaner coding. At this level, Python’s libraries such as NumPy, Pandas, and Matplotlib are introduced for data handling and visualization.