Learn NumPy for Data Science with practical examples. Master arrays, indexing, slicing and vectorized operations in Python with this beginner-friendly guide. Introduction NumPy is the core numerical library in Python and a backbone of data science, machine learning, and scientific…
Learn Object-Oriented Programming in Python with Lecture 9. Understand classes, objects, constructors, methods, inheritance, and real-world examples. Beginner-friendly and Data Science focused. What You Will Learn After completing this lecture, you will be able to: 1) What is Object-Oriented Programming…
How Python modules and packages work in Lecture 8. Understand import statements, pip installations, built-in modules, external libraries, and virtual environments with examples, MCQs, and practice problems. What You Will Learn Today By the end of this lecture, you will…
Learn Python functional programming in Lecture 7. Understand lambda expressions, map(), filter(), and reduce() with easy examples, real Data Science use-cases, MCQs, and practice tasks for beginners. What You Will Learn By the end of this lecture, you will understand:…
Learn Python functions in Lecture 6 with simple explanations and practical examples. Understand def, parameters, arguments, return values, *args, **kwargs, and real Data Science use-cases. Includes MCQs and practice tasks. What You Will Learn in This Lecture By the end,…
Learn loops in Python with clear examples for beginners. Lecture 5 covers for loops, while loops, range(), nested loops, and real Data Science use-cases, complete with MCQs and practice questions. What You Will Learn By the end of this lecture,…