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The local Conda reposit ory in Artifactory gives you the flexibility of deploying your packages in a layout of your choice. When deploying Conda binaries into nested paths, it is important to ensure that the channel URL inside your .condarc file correctly reflects the path of the packages. The Conda client automatically appends the host machine ...

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Conda quickly installs, runs and updates packages and their dependencies. Conda easily creates, saves, loads and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages.

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The conda command searches a default set of channels, and packages are automatically downloaded and updated from https://repo.anaconda.com/pkgs/. You can modify what remote channels are automatically searched. You might want to do this to maintain a private or internal channel. For details, see how to modify your channel lists.

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The way conda resolves these collisions matters only when you have multiple channels in your channel list that host the same package. By default, conda prefers packages from a higher priority channel over any version from a lower priority channel. Conda: Channel is unavailable/missing or package itself is missing ... When TE is installed, an .env file is created alongside the docker-compose.yml file by default.

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conda install notebook -c conda-forge conda install mpi4py -c conda-forge We generally recommend setting conda-forge as your default conda channel as this reduces the likelihood that you will run into incompatibilities later if you install some software dependencies with or without it.

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If you haven’t done it already you need to configure conda with the bioconda-channel and the conda-forge channel. This are sources for packages beyond the default one.: conda config -- add channels defaults conda config -- add channels bioconda conda config -- add channels conda - forge

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