Function pipelines allow seamless execution of multiple functions in a sequential manner, where the output of one function serves as the input to the next. This approach helps in breaking down complex tasks into smaller, more manageable steps, making code more modular, readable, and maintainable. Function pipelines are commonly used in functional programming paradigms to transform data through a series of operations. They promote a clean and functional style of coding, emphasizing the composition of functions to achieve desired outcomes.

In this article, we will explore the fundamentals of function pipelines in Python, including how to create and use them effectively. We’ll discuss techniques for defining pipelines, composing functions, and applying pipelines to real-world scenarios.