![]() ![]() Users/computationalphysics/anaconda/bin/conda If the installation worked, this should display the path to the conda. Open a terminal window and type which conda.This seems to work better than installing system wide. This will install a directory under your login directory called anaconda. NOTE: When you get to the Destination Select step, be sure to pause and select the Install for me only tab. Download Anaconda Graphical Installer (Python 3.6) from Anaconda Download and follow the instructions on that page to install Anaconda. ![]() Refer to that page for more detailed instructions. The following installation instructions is a summary drawn from the Installation Instructions on the Space Telescope Science Institue AstroConda page. This is because IRAF doesn't "play well" with Python 3. An AstroConda/IRAF environment running Python 2.7.An AstroConda environment running Python 3.The Anaconda default (root) environment running Python 3.It’s a whole lot faster-with the same functionality.These instructions should install the Anaconda Python distribution and three separate Anaconda environments: Whether developing on your machine or packaging with Docker, you should use Mamba to install your Conda packages. In the context of Docker builds, the fixed cost of RUN conda install -c conda-forge mamba will go away after the first build if you’re using Docker layer caching, which you should be.On your development computer, you can just have Mamba installed in the base environment (see above), so there isn’t really much savings.Unlike the speedup from switching, which will probably scale at least somewhat with number of packages, this is a fixed overhead: you’re just saving the one-time RUN conda install -c conda-forge mamba.This isn’t bad, but it isn’t quite as exciting as the speed-up from switching to Mamba in the first place: So it looks like using the Docker base image with Mamba pre-installed saves us about 25 seconds. $ time docker build -q -no-cache -f Dockerfile.just-mamba. Looking back at the Dockerfile using mamba above, it still has one caveat: Speeding up Docker builds a little bit more Optionally, comes pre-packaged with Mamba.Uses conda-forge as the default channel, instead of Anaconda’s commercially supported default channel.If you’re setting up a new development machine, and you’re primarily using Conda-Forge, there is an another option.Ĭonda-Forge provides an alternative to the normal miniconda installer.If this is your development machine, you’ll want to do conda install mamba -n base -c conda-forge so it’s available in all environments. ![]()
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