Jupyternotebook-On-Ubuntu22-04LTS
by Cloudtrio Solutions
Preconfigured Ubuntu 22.04 LTS VM with Python and Jupyter Notebook for AI, data science, machine learning, and automation workflows.
Jupyter Notebook + Python on Ubuntu 22.04 LTS provides a secure, high-performance, and pre-configured environment for data science, AI, machine learning, analytics, and automation workloads on Azure. It is easy to deploy and ensures a consistent Python and Jupyter Notebook setup across all Azure compute resources.
This image comes with Jupyter Notebook and Python preinstalled and ready to use for interactive coding, data analysis, ML model development, visualization, automation scripts, and experimentation. Simply create a new Azure VM and select this image from the marketplace to start building and running your Jupyter Notebook projects instantly.
Get started with "Jupyter Notebook + Python on Ubuntu 22.04 LTS" — a reliable and optimized environment designed to simplify Python-based development, data science workflows, and cloud-based research. This solution enables developers, data scientists, students, and businesses to focus on innovation rather than environment setup.
Developed and validated by CloudTrio Solutions, this image provides a seamless experience for running Jupyter Notebook workloads and Python applications on Azure. Our Azure-certified experts are available 24/7 via phone and email to assist with deployment, configuration, performance tuning, or troubleshooting.
Key Features Available in Jupyter Notebook + Python on Ubuntu 22.04 LTS:
- Pre-configured Jupyter Notebook and Python environment for instant development
- Ideal for machine learning, AI, data visualization, and automation tasks
- Open-source, cost-effective, and highly scalable
- Secure and optimized for high performance on Azure
- Supports notebooks, data pipelines, ML experiments, and enterprise workloads
Disclaimer: CloudTrio Solutions does not offer commercial licenses for any open-source software included in this image. All components are provided under their respective open-source licenses.
Default ports: 8888 (Jupyter Notebook), 22 (SSH)
Allowed ports: 8888, 22
Learn More: