TLDR
Working on a data science project is almost always equivalent to an amazing clutter in the working directory. Data scientists would most likely have the following materials dumped in their project working directory: Python/R scripts, data sets, journal articles, references, notebooks, scripts, notebooks and other references. The directory heirarchy is organized as repo/src/python/main/R, repo/source/py/lib (for utilities), repo/s/lib/main (for scala codes) An ansible-playbooks are created to automated repeatitive tasks.via the TL;DR App
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Written by rick-bahague | Free & Open Source Advocate. Data Geek - Big or Small.
