Anaconda is a powerful library that simplifies managing packages, dependencies, and environments for Python-based projects.
This guide provides step-by-step instructions on installing Anaconda on Ubuntu 22.04 using an installer script and initializing the conda environment.
The guide assumes that the user has a virtual machine with a certain specification, such as 2 vCPUs, 4 GB RAM, and a 20 GB SSD.
The user needs to create a NodeShift account, create a compute node, configure and select image for a virtual machine, choose the billing cycle and authentication method and finalize the details and create the deployment.
Once the VM is running, the user can connect to the active Compute Node using SSH and download the Anaconda installer.
The user needs to verify the installer script, install Anaconda using the bash command, initialize Anaconda, add Anaconda functions, and finally, verify the installation.
Anaconda is useful for data science, machine learning, or managing AI projects, and this guide simplifies the process of setting it up on Ubuntu.
By deploying the Ubuntu server on NodeShift, users can have optimized energy consumption, scalability, and enhanced performance, making it the ideal choice for deploying resource-intensive tools like Anaconda in a sustainable and efficient manner.
NodeShift's infrastructure ensures a smooth and reliable setup for Anaconda to get your environment ready for efficient development.
This guide provides a convenient method for setting Anaconda on Ubuntu for anyone looking to power up their data science or machine learning workflows.