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Now, when you type the conda info -envs command, the environment that you removed will no longer be listed. If you are no longer working on a specific project and have no further need for the associated environment, you can remove it.

conda create -name my_env python = 3 numpy.

If you know you would like a numpy environment upon creation, you can target it in your conda create command: You can add additional packages, such as numpy for example, with the following command: The asterisk indicates the current active environment.Įach environment you create with conda create will come with several default packages: My_env35 /home/sammy/anaconda3/envs/my_env35 Within the environment, you can verify that you’re using the version of Python that you had intended to use: With your environment activated, your command prompt prefix will reflect that you are no longer in the base environment, but in the new one that you just created. You can activate your new environment by typing the following:

The conda utility will now fetch the packages for the environment and let you know when it’s complete. You’ll receive output with information about what is downloaded and which packages will be installed, and then be prompted to proceed with y or n. You’ll call the environment my_env, but you’ll likely want to use a more descriptive name for your environment especially if you are using environments to access more than one version of Python. You can achieve this by assigning version 3 to the python argument. Next, create an environment using the most recent version of Python 3. Since you are using the Anaconda with Python 3 in this tutorial, you will have access only to the Python 3 versions of packages. You’ll receive output with the different versions of Python that you can target, including both Python 3 and Python 2 versions. For each Anaconda environment you set up, you can specify which version of Python to use and can keep all of your related programming files together within that directory.įirst, you can check to see which versions of Python are available for us to use: Setting Up Anaconda EnvironmentsĪnaconda virtual environments allow you to keep projects organized by Python versions and packages needed. Now that Anaconda is installed, you can go on to setting up Anaconda environments. Output# packages in environment at /home/sammy/anaconda3: You’ll receive output that looks similar to this: You’ll use the sha256sum command along with the filename of the script:

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You can now verify the data integrity of the installer with cryptographic hash verification through the SHA-256 checksum. You’ll output this to a file called anaconda.sh for quicker use.

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Use curl to download the link that you copied from the Anaconda website. This is a good directory to download ephemeral items, like the Anaconda bash script, which you won’t need after running it. Next, change to the /tmp directory on your server. At the time of writing, the latest version is 2021.11, but you should use a later stable version if it is available.

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The best way to install Anaconda is to download the latest Anaconda installer bash script, verify it, and then run it.įind the latest version of Anaconda for Python 3 at the Anaconda Downloads page. You can achieve this prerequisite by completing the Ubuntu 22.04 initial server setup guide. A non- root user with sudo privileges set up on your server.Prerequisitesīefore you begin with this guide, you should have: This tutorial will guide you through installing the Python 3 version of Anaconda on an Ubuntu 22.04 server. You can learn more about Anaconda and conda by reading the official Anaconda Documentation. The Anaconda distribution ships with the conda command-line utility.

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Offering a collection of over 1,000 data science packages, Anaconda is available in both free and paid enterprise versions. It is commonly used for data science, machine learning, large-scale data processing, scientific computing, and predictive analytics.

Anaconda is an open-source package manager, environment manager, and distribution of the Python and R programming languages.

Latest anaconda distribution