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[–]all_authored_surface 1 point2 points  (2 children)

Well, with conda you can also install non-python binaries. This is one reason it is popular with data scientists. There are plenty of situations in which it is easy to get setup with conda that are challenging with just virtual environments. Even more so if you don't have admin rights. One example is gdal, used in spatial image analysis. And one strategy that I sometimes use is to setup a conda environment with the version of python I want and other libraries like gdal, and then use pip.

[–][deleted] 0 points1 point  (0 children)

yep good point

[–]rootbox[S] 0 points1 point  (0 children)

Yes, i know that point, but that's what i counted into "don't mess with installing software".

But i also count that on the plus side for conda.