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Lecture 10 – NumPy for Data Science (Arrays, Indexing, Vectorization)

Learn NumPy for Data Science with practical examples. Master arrays, indexing, slicing and vectorized operations in Python with […]

Lecture 9 – Object-Oriented Programming (OOP) in Python

Learn Object-Oriented Programming in Python with Lecture 9. Understand classes, objects, constructors, methods, inheritance, and real-world examples. Beginner-friendly […]

Lecture 8 – Modules and Packages in Python (import, pip, libraries, virtual environments)

How Python modules and packages work in Lecture 8. Understand import statements, pip installations, built-in modules, external libraries, […]

Lecture 7 – Lambda, Map, Filter, Reduce (Functional Programming in Python)

Learn Python functional programming in Lecture 7. Understand lambda expressions, map(), filter(), and reduce() with easy examples, real […]

Lecture 6 – Functions in Python (def, parameters, return, scope)

Learn Python functions in Lecture 6 with simple explanations and practical examples. Understand def, parameters, arguments, return values, […]

Lecture 5 – Loops in Python (for, while, range, nested loops)

Learn loops in Python with clear examples for beginners. Lecture 5 covers for loops, while loops, range(), nested […]