Conda env list12/30/2023 Although the environment configuration is documented in the project, there would be no way to automatically alert that one project had drifted away from the other.Īnother issue with this method is that it assumes that the customer’s Domino instance has access to a Conda repository. It also increases the chance that one project might use different packages to another, similar project. The trade-offs to this are that workspace startup times could be slow if the environment is complex. It also means that you can use the same base image for all projects and then define unique Conda environments per project. Once in the workspace, the environment can be activated and tested through Terminal like this: (base) $ python -versionĪ benefit of creating an environment when the workspace starts is that the latest versions of any unpinned packages will be installed. This will create the environment and then prepare Terminal to be able to interact with it. You can create an environment when a workspace starts up by saving a yaml definition file in the Domino project and then adding the following lines to the workspace’s pre-run script: conda env create -f /mnt/environment.yml You can then check the installed packages in that environment with conda list to confirm that everything was created correctly.ĭepending on your customer’s requirements, you can either create a Conda environment within a Docker image or create it when the workspace starts up. You can then create an environment with: conda env create -f However, broadly, yaml definitions have a name field, a list of channels to obtain packages from, and dependencies, which are the desired packages themselves, pinned to specific versions if you want. How to construct that yaml file is a topic in its own right, and there is some limited documentation here. Fortunately, Conda environments can be created from a yaml definition, which makes it quicker to create them, easier to compare them, and their definitions can be committed to Git for safe-keeping, version control, etc. However, installing more than a few packages in an environment could get labour-intensive and it becomes tricky to know what’s in different environments. You can even specify the Python version in the environment: conda create -n myenv python=3.9 A Brief Intro to Conda EnvironmentsĬonda environments can be created with a simple conda create -name myenvĪnd a package can be added to that environment at the same time like this: conda create -n myenv scipy Let’s take a look at how to create Conda virtual environments in Domino compute environments and some of the challenges around them. It’s also convenient for the customer because it makes their Domino workspaces feel familiar because they have all the same packages– even the same virtual environment name– as in their existing IDEs. This is convenient because the Domino Standard Environment comes with Conda pre-installed, so all we need to do is add the yaml file and run the command to create a new environment with it. It was created for Python programs, but it can package and distribute software for any language”.Ĭustomers often would like to create Conda virtual environments from an existing yaml definition. Conda easily creates, saves, loads and switches between environments. According to their documentation, “Conda is an open source package management system and environment management system that quickly installs, runs and updates packages and their dependencies.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |