Simplifying Scientific Computing with Sleight-of-Hand Trick.

TL;DR Summary
Computational environments, such as R package renv and conda, help researchers manage their software dependencies, ensuring reproducibility, reusability, documentation, and shareability of their code. These tools allow users to create isolated environments with specific versions of programming tools and libraries, making it easier to explore new or updated tools while ensuring that their code will still run. However, limitations exist, such as difficulty encapsulating tools written in certain languages and porting environments across operating systems.
Topics:science#computational-environments#conda#r-programming-language#reproducibility#scientific-computing#technology
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