User config file : C:\Users\USERNAME\.condarcīase environment : C:\ProgramData\Miniconda3 (read only) Here's my output: (base) C:\Users\USERNAME>conda infoĪctive env location : C:\ProgramData\Miniconda3 no raspberry pi), so unless you use a linux distro there (and manage python packages with it), you still need pip and associated tools.Conda info will display information about the current install, including the active env location which is what you want.
One thing Anaconda cannot do is work outside x86 (so no arm i.e.
It's most useful when you have a limited windows system, and least when you have a linux system with root. But like apt and yum, it deals with binary packages, so you need a different set of tools to build packages (which in the case of python use setup.py and possibly pip), and does not integrate with other package managers (you'd struggle to use it with a existing version of blender).Īnaconda isn't the only cross platform python associated distro, but the others are either more limited than Anaconda ( ) or lack as nice a package manager as conda ( ).
Using conda you can download compliers or libraries written in C (and other languages), as well as different versions of python. So an obvious advantage is it provides a package manager where there isn't one (Windows, to some extent OSX). So Anaconda is like a linux distro (a better comparison would be something like nix ( ), but that's not widely known). So when you download numpy, you're using Anaconda.Ĭonda is package manager (note I didn't specify python), hence it should be compared with apt, rpm tools (yum etc.), homebrew etc.
Whilst conda itself is open source ( ), the build scripts used to create the packages may not be (Continuum has their own versions of numpy and astropy for example, though they have plans to release them). So first we should make a distinction between conda (the tool) and Anaconda (the distribution by Continuum). You didn't specify what you were comparing with (pip probably), so I'm going to discuss how conda/Anaconda fits in to the general python ecosystem. Suffice to say that I'm not really seeing the huge draw. Unless you're working with admin or root privileges I don't see how you'd manage that.