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This lecture covers the basics of Python programming, focusing on data types, abstract data types like lists and dictionaries, type casting, functions, and list comprehensions. It also introduces NumPy, a core library for scientific computing in Python, explaining how to create arrays, indexing, slicing, masking, broadcasting, and common functions. The lecture concludes with examples and references for further learning.