That directory, once it’s managed by Anaconda Project, can be run in a consistent way no matter where it’s run, as long as there’s a copy of Anaconda itself handy.Īnaconda Project’s biggest issue right now is that it’s still considered a beta-level product, so it isn’t stable yet.
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It lets you take a directory full of things related to something you’re doing with Anaconda-“web apps, scripts, Jupyter notebooks, data files, whatever it may be,” as Anaconda puts it-and turn it into a reproducible resource. Even Conda environments provide only a partial solution for this problem, because CPython venv-type environments don’t and can’t reproduce things like environment variables.Įnter Anaconda Project. One common problem with data science, and software development in general, is reproducing the exact environment used for a particular job. Each Conda environment must have its set of packages updated separately. The no-sqlite environment omits the sqlite package (as shown in the package list at right). The env-37 environment uses Python 3.7 instead of a more recent version. Three Conda environments, each with its own set of packages and Python runtimes. Linux) will need to be ironed out manually. There are limitations to how well this can work in a cross-platform fashion, so any differences between how packages work on different platforms (such as MacOS vs.
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If you want other people to use your Conda environment, you provide them with a copy of the environments definition file, which describes how to re-create the environment on another system. Conda environments try to address this problem, because they’re meant to be reproducible. This can be a problem if you need to have a reproducible environment for the work you’re doing. Venv environments can be moved around, but they don’t necessarily have detailed information about how they were created.
If you want to use specific versions of packages, or specific versions of the Python interpreter as well, you can place them into a Conda environment and use them in isolation. Conda environments, as they’re called, are functionally similar to venv-type virtual environments.
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