OS with Data Science tools

Last update: May 05 2025

OS with Data Science tools

A Data Science operating system image is a ready-made operating system image with a pre-installed tools For machine learning developers and data analysts.

Install an OS with Data Science tools can be on a dedicated server ready-made configuration with the GPU.

Preset tools⁠

There are tools pre-installed in the image for Data Science — see their official documentation for more details:

• Python 3.11;
• pip;
• PyTorch;
• TensorFlow;
• JupyterLab;
• Jupyter Notebook;
• Keras;
• scikit-learn;
• NumPy;
• SciPy;
• pandas;
• NLTK;
• OpenCV;
• CatBoost;
• XGBoost;
• LightGBM.

Install an OS with Data Science tools⁠

1. В control panels from the top menu, press Products and select Dedicated servers.
2. In the section Servers open the server page → tab Operating system.
3. Optional: to securely connect to the server using the encrypted SSH protocol, select a previously downloaded and hosted SSH key or add a new one. More details in the instructions Create and upload an SSH key to a dedicated server.
4. Optional: enter user data. With user data you can automate the configuration of servers. You can only specify user data for servers without hardware HBAs and RAID controllers.
5. In the field Distribution select Pre-installed Apps → Data Science (Ubuntu 24.04 LTS).
6. Optional: partition the disks. By default, the optimal RAID type is defined and only partitioned disks and disks in RAID are partitioned.
7. Click Set. Installation can take from 7 to 60 minutes, depending on the performance of the server and the distribution selected. If more time has elapsed, file a ticket.
8. Once the OS is installed, a password will be generated to connect to the server, which is also used to authorizations to JupyterLab. The password can be copied to control panels: from the top menu, press Products → Dedicated servers → server page → tab Operating system → in the field Password click . The password is available for 24 hours from the start of the OS installation or configuration change. If you forget the server password, you can reset and restore it.

Connect to the JupyterLab web interface⁠

1. Open the page in your browser:

   http://<ip_address>

   Specify <ip_address> — the public IP address of the server. You can copy it to control panels: from the top menu, press Products → Dedicated servers → server page → tab Operating system → in the field IP click .

2. To log in to JupyterLab, in the field Password enter the password for your server. You can copy the password to control panels: from the top menu, press Products → Dedicated servers → Servers → server page → tab Operating system → in the field Password click . The password is available for 24 hours from the start of the OS installation or configuration change. If you forget the server password, you can reset and restore it.