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Data Science VPS - Private Analysis on Offshore Infrastructure

Data scientists working with proprietary business data, sensitive research datasets, or personal data subject to GDPR should not process that data on Google Colab, Databricks cloud, or shared university HPC clusters without appropriate data governance. A private offshore VPS provides an isolated analysis environment where data stays under your control.

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JupyterLab Data Science Environment

JupyterLab with a full Python data science stack: ```bash pip install jupyterlab numpy pandas scikit-learn matplotlib seaborn plotly xgboost lightgbm jupyter lab --ip 0.0.0.0 --port 8888 --no-browser --NotebookApp.token='SECURE_TOKEN' & ``` Access via SSH tunnel: ```bash ssh -L 8888:localhost:8888 user@YOUR_VPS_IP ``` Then open http://localhost:8888 in your browser. All computation on the VPS, displayed in your browser. For large datasets: process data on VPS where the data lives. Never download 10GB datasets to your laptop for analysis - use Jupyter on the VPS where storage is available. R Studio Server for R-based analysis: ```bash apt install r-base -y wget https://download2.rstudio.org/server/jammy/amd64/rstudio-server-*.deb dpkg -i rstudio-server-*.deb rstudio-server start ``` Access at http://YOUR_VPS_IP:8787.

Why Anubiz Host

100% async — no calls, no meetings
Delivered in days, not weeks
Full documentation included
Production-grade from day one
Security-first approach
Post-delivery support included

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Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.

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