nexus is a threefold documentation resource centered on technology, tools and methods for open data science. Nexus is “How I Did It” notes in case I need to do it again in the future. Content is threefold in the sense of: native plus external plus hybrid documentation. Hybrid is (native) commentary from working through (external) guides and tutorials.
nexus
content mapgh-pages
source markdown filesindex.md
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Nexus is a 3-level tree. Here is the link map:
Essay: Understanding the cloud-for-research time investment
nexus is a response to the tech ‘profusion/latency’ problem faced by scientists who need a degree of
familiarity with computing infrastructure. The scientist is first a Builder and then a User where they
can focus on the actual research. Suppose a research team needs to puzzle out how to develop code for
and then run a lot of compute tasks on a limited budget; so perhaps containerization and Jupyter Lab servers
are pieces of the solution. Once set in place the how to can be forgotten… but how to invariably
comes up again at some point down the road, be that weeks or months or a year. It is onerous and depressing
to have to begin again as Builder de novo. Nichte diese Töne: nexus
hopes to be helpful.