Object Oriented Programming for Data Science
Explore how object-oriented programming (OOP) is a vital tool for data scientists in organizing and manipulating real-world data, particularly when using Python. Understand OOP's flexibility, efficiency, data security, and its role in collaborative projects, software development, and database management, as well as how it aids data scientists in creating and defining objects to control their code composition.