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5 ways of Implementing Open Closed Principle with Python
Object Oriented Programming Principles for Data Scientists
The Open-Closed Principle (OCP) is one of the five SOLID principles of object-oriented programming. It states that software entities, such as classes, modules, and functions, should be open for extension but closed for modification. In other words, you should be able to add new features to your software without having to modify existing code.
The goal of the OCP is to create software that is more flexible and easier to maintain over time. By designing software that can be extended without modifying existing code, you can reduce the risk of introducing new bugs and make your code easier to read and understand.
How Open-Closed Principle Helps Data Scientists?
While the OCP is primarily concerned with software design, it can also be applied to data science. Data scientists often work with large, complex data sets and models that need to be updated and modified over time. By following the OCP, data scientists can ensure that their models are easily extensible and maintainable over time.
In the context of data science, a “model” typically refers to a mathematical or statistical representation of a real-world system or…
