Translating short-form Python exercises to other programming languages using diverse prompting strategies.

ABSTRACT:

Background

With the increasing complexity and quantity of experimental and observational data, life scientists rely on programming to automate analyses, enhance reproducibility, and facilitate collaboration. Scripting languages like Python are often favored for their simplicity and flexibility, enabling researchers to focus primarily on high-level tasks. Compiled languages such as C++ and Rust offer greater efficiency, making them preferable for intensive or repeated computations. In educational settings, instructors may wish to teach both types of languages and thus translate content from one programming language to another. In research contexts, researchers may wish to implement their ideas in one language before translating the code to another. However, translating between progr

SUBMITTER: Piccolo SR 

PROVIDER: S-EPMC12758376 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature