Pourquoi existe-t-il de nombreux paradigmes de programmation ?

TL;DR

This paper explores the reasons behind the proliferation of diverse programming paradigms, emphasizing their suitability for different applications despite all being Turing-complete.

Contribution

It provides a clear definition of programming paradigms and analyzes why multiple paradigms coexist, based on their advantages for specific problem types and features.

Findings

Different paradigms are better suited for various applications.

All Turing-complete languages are equivalent in computational power.

The diversity of paradigms is driven by their suitability for specific tasks.

Abstract

There are a lot of different programming paradigms. Since all Turing-complete programming languages are formally equivalent (they have the same ability to express any computable problem), the existence of so many different paradigms may seem surprising, even pointless. In this article, we will try to understand why there are so many different paradigms. We will start with a definition of what a programming paradigm is, then show how different paradigms are better suited for different applications: learning, solving or expressing certain types of problems, and more generally for the features brought by each paradigm.