Reproducible science with Conda and Snakemake
Doing scientific computing is hard. Delivering results with fast, performant code is often the easy part. You know your tools and how to get results. Delivering your workflow to your target audience is where it gets tough. What happens if your clients want to re-run things themselves, on their own hardware? How do they configure your pipeline for a new problem set? What happens if they’ve never even used the command line before, much less understand what a server is?