Let’s create an environment using the most recent version of Python 3.

Since we 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, we 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, we 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:

We’ll use the sha256sum command along with the filename of the script: We can now verify the data integrity of the installer with cryptographic hash verification through the SHA-256 checksum. We’ll output this to a file called anaconda.sh for quicker use. 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 we won’t need after running it. Next, change to the /tmp directory on your server. At the time of writing, the latest version is 2020.02, but you should use a later stable version if it is available. 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 our Ubuntu 20.04 initial server setup guide. Prerequisitesīefore you begin with this guide, you should have a non-root user with sudo privileges set up on your server. This tutorial will guide you through installing the Python 3 version of Anaconda on an Ubuntu 20.04 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. 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.

Install conda