![]() To learn more about setting up your persistent disk, read How to set up persistent disk storage for your analysis app. At the time of writing, the latest version is 2019.03, but you should use a later stable version if it is available. ![]() Find the latest version of Anaconda for Python 3 at the Anaconda Distribution page. If you delete your Cloud Environment while retaining your persistent disk, you will still get rid of conda. To install Anaconda on a Debian 10 server, you should download the latest Anaconda installer bash script, verify it, and then run it. Note: When installing conda on a Jupyter instance, keep in mind the configuration of your persistent disk. Once you have selected your new kernel, use the following code to customize your environment by adding, removing, or changing versions of packages. Verify you're in the correct environment by finding Python in the toolbar.Ĥ. To see the new environment, refresh the webpageģ. Ensure that (ee) appears at the beginning of the command line, indicating you are working from the ee environment. Without the flag, the notebook will hang, and you will need to restart the kernel.Ģ. Install the API into the conda ee environment. Since the output is non-interactive, this will respond “y” to any prompts. In your Jupyter Notebook, run the following code (this may take 2-4 minutes to complete) conda create -clone base -prefix /home/jupyter/ name_of_new_environment -y You can install conda and keep it on a detachable persistent disk.ġ. To do that, you will need to configure a new conda environment where you can fully customize the installed software. However, sometimes you will need to add, remove, or update packages to better suit your needs. As a package manager, it can help you find and install packages.īy default, Jupyter Notebooks come with a pre-configured base environment that includes software most researchers will use for their analyses. Conda is used to install software packages and their dependencies. OverviewĬonda is a cross-platform package management system that works on Windows, MacOS, and Linux. If you do not have an existing Conda-based python environment, install Conda and. Conda is a package management system that assists researchers to find and install the packages they need. Intel provides access to the AI Kit through a public Anaconda repository. However, researchers often want to tinker with these packages to create an environment that fits all their needs. Jupyter Notebooks come with pre-configured environments that include software commonly used by researchers for analyses. Installing Anaconda on a non-networked machine (air gap) Obtain a local copy of the appropriate Anaconda installer for the non-networked machine.
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