How to Use the Anaconda VPS Template

Anaconda is a popular open-source distribution of Python and R, designed specifically for data science, machine learning, and AI development. It comes with a wide array of pre-installed libraries and tools such as Jupyter Notebook, Pandas, NumPy, and SciPy. Hallo-Webseite.de’s “Ubuntu 24.04 with Anaconda” VPS template comes with Anaconda preinstalled, allowing you to start working on your projects right away. This guide will walk you through accessing and using Anaconda on your VPS.

Accessing Your VPS

Open Terminal (Linux/macOS) or Command Prompt/PowerShell (Windows) on your local computer and enter the following command:

ssh root@[your-vps-ip]

Replace[your-vps-ip]with your VPS IP address. You might be prompted to enter your VPS password.

Verifying Anaconda Installation

Check Anaconda Version:
After logging into your VPS, verify that Anaconda is installed by running:

conda --version

Update Anaconda Packages:
Ensure your Anaconda installation is up to date:

conda update --all

Creating and Managing Anaconda Environments

Create a New Environment:
To create a new Anaconda environment with a specific Python version:

conda create -n myenv python=3.9

Replace myenv with your preferred environment name.

Activate the Environment:
Switch to your newly created environment:

conda activate myenv

Install Additional Packages:
You can install packages using:

conda install numpy pandas matplotlib

Deactivate the Environment:
When done, deactivate the environment using:

conda deactivate

Using Jupyter Notebook

Start Jupyter Notebook:
Start Jupyter Notebook to work on data science projects:

jupyter notebook --ip=0.0.0.0 --no-browser

The terminal will display a URL with an access token. Copy this URL.

Access Jupyter Notebook from Browser:
On your local machine, open your browser and enter:

http://[your-vps-ip]:8888

Replace[your-vps-ip]with your actual VPS IP address and use the token provided in the terminal.

Securing Your Anaconda Environment

Set Up Firewall Rules:
Allow only necessary ports for Jupyter Notebook and SSH:

sudo ufw allow 22/tcpsudo ufw allow 8888/tcpsudo ufw enable

Automating Anaconda Tasks

Creating Scheduled Jobs:
Automate tasks usingcronjobs:

crontab -e

Add an entry to run a Python script at regular intervals:

0 * * * * /root/anaconda3/bin/python /path/to/your_script.py

The “Ubuntu 24.04 with Anaconda” VPS template from Hallo-Webseite.de provides a powerful data science, machine learning, and AI development environment. Following this guide’s steps, you can easily set up, manage, and secure your Anaconda environment. Whether you’re working on Jupyter notebooks or deploying machine learning models, Anaconda simplifies package management and project organization.
For more information, visit the official Anaconda documentation.