How To Install Anaconda on AlmaLinux 9 and Rocky Linux 9

Michail

Introduction

Anaconda is a popular data science and machine learning platform. It supports Python and R programming languages. It is used for large-scale data processing, predictive analytics, and scientific computing.

In this guide we will show how to install Anaconda on AlmaLinux 9 and Rocky Linux 9.

Installation Guide

1. Update the system

First, update your package list to ensure all software is up to date:

dnf update -y

2: Download the Latest Anaconda Installer

Use wget to download the latest Anaconda installer from the official website (in our case, the latest version is Anaconda3-2024.10-1):

dnf install wget

wget https://repo.anaconda.com/archive/Anaconda3-2024.10-1-Linux-x86_64.sh

3. Verify the Installer

To make the script executable:

chmod +x Anaconda3-2024.10-1-Linux-x86_64.sh

4. Run the Installer

Start the installer script:

./Anaconda3-2024.10-1-Linux-x86_64.sh

Press Enter to view the license.

Use the Space to scroll through.

Type yes to accept the license.

Then, press Enter to install in the default location (~/anaconda3) or provide a custom path.

You will also be asked if you wish to update your shell profile to automatically initialize conda. You can just press enter (which means "no" by default") and continue.

5. Activate Conda

After installation completes:

source ~/anaconda3/bin/activate

6. Check Conda Version

Verify that Conda is working:

conda --version

7. Initialize Conda (Add to Shell)

Run this to set up automatic Conda activation in your shell:

conda init

Then reboot your system:

reboot

8. Update Conda

Make sure Conda itself is up to date:

conda update -n base -c defaults conda

9. Create and Activate a New Environment

Create a test environment with Python 3.9:

conda create -n test_env python=3.9

Activate it:

conda activate test_env

Check the Python version:

python --version

Additional

If you're inside an environment like test_env and want to deactivate it:

conda deactivate

This will return you to the base environment.

To exit from the base environment, run the same command again.

You're all set! Now you can install packages, manage environments, and use Conda effectively.