![]() ![]() conda folder, so you need to change the folder ownership by running this command: sudo chown -R workspace:workspace ~/.condaĮxit the terminal and open a new one. To create your own environments, you need to have write access to. Initialise Anaconda for your Virtual Desktop user: sudo chown -R workspace:workspace /opt/anaconda3 At the end, type no to NOT initialize Anaconda3 at this time.The installer will ask if you want to accept the default installation location: do NOT accept it, instead, set it to /opt/anaconda3.Type yes to accept the license terms and conditions.You will need to press Enter to scroll down to the bottom of the license agreement.Sudo TMPDIR=/opt/tmpconda bash Anaconda3-2020.11-Linux-x86_64.sh Sudo chown -R workspace:workspace /opt/tmpconda Install Anaconda sudo mkdir /opt/tmpconda The command should print out a single line that looks like the screenshot below.ģ. Use the command below to verify the downloaded data integrity. In your Virtual Desktop, open the terminal, move into the tmp folder, and then use the copied link to download the latest Anaconda distribution: cd /tmp Copy the link of the Linux installer (64-Bit x86 version). Download Anacondaįrom the web browser, go to the Anaconda Archive, then looking at the 'Last Modified' column scroll down to find the latest Anaconda3 distribution, which should look something like Anaconda3-2020.11. Instructions for Windows Instructions for Linux 1. ![]() Please note that Jupyter Notebooks are also available as containerised Mini-app within the workspace, which you might find sufficient for your use. This article will guide you through installing Anaconda on your Virtual Desktop in the Aridhia DRE Workspace, and then running Jupyter Notebooks. Anaconda also provides a mechanism for managing distinct environments that capture library dependencies. The base package contains libraries used for data science including those necessary for running Jupyter Lab and Jupyter Notebook. If you are looking to install Python, we recommend using Anaconda Python distribution as it is a ready-made and up-to-date package for working with Python. Anaconda is widely used for scientific computing, data science and machine learning workflows. Anaconda is an open-source package manager, environment manager, and distribution of the Python and R programming languages. ![]()
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