ICanHazDatascience

Data Science Tools, or what’s in my e-backpack?

One of the infuriating (and at the same time, strangely cool) things about development data science is that you quite often find yourself in the middle of nowhere with a job to do, and no access to the Internet (although this doesn’t happen as often as many Westerners think: there is real internet in most of the world’s cities, honest!). Which means you get to do your job with exactly what you remembered to pack on your laptop: tools, code, help files, datasets and academic papers.  This is where we talk about the tools. The Ds4B toolset This is the tools list for the DS4B course (if you’re following the course, don’t panic: install notes are here). Offline toolset: Already on the machine: Terminal window Calculator Anaconda: Jupyter notebooks Python (version 3) R (need to add this to Anaconda) Rstudio OpenRefine D3 libraries Tabula Excel or LibreOffice (opensource equivalent) QGIS (Mac users: note the separate instructions on this!) GDAL…