What is declarative programming in data science?

What is declarative programming in data science?

Declarative programming is a programming paradigm that expresses the logic of a computation without describing its control flow. In data science, it allows you to focus on what you want to achieve rather than how to achieve it.

Can you give me an example of declarative programming in data science?

Sure! An example is using SQL for data manipulation. You specify what data you want to retrieve or manipulate without detailing the steps to get there.

How does it differ from imperative programming?

In imperative programming, you write code that specifies the exact steps to achieve a result, while in declarative programming, you describe the desired outcome, and the underlying system figures out how to achieve it.

What are the benefits of using declarative programming in data science?

Benefits include increased readability, easier debugging, and often better optimization by the underlying systems.