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If you use data science libraries like numpy, pandas etc then these rely on OS level packages like libgfortran and liblapack. Anaconda is a way to guarantee you
by mwj 9y ago
If you use data science libraries like numpy, pandas etc then these rely on OS level packages like libgfortran and liblapack. Anaconda is a way to guarantee you are running a known stack from dev machine through to production. This is the key benefit IMO (as well as getting improving deploy times)
- kmike84 9y agoAll these packages provide wheels on OS X, there is no need to install gfortran these days. A good point about a known stack.
- pwang 9y agoMany people who do data science on OS X have to deploy or scale their things on Linux servers. Or serve Python scripts to collaborators on Windows. Even if you are a working on an island and you fully control your own dev and production environments, there are myriad subtle divergences between the build toolchain on Linux and BSD/Darwin that can trip you up.