https://store-images.s-microsoft.com/image/apps.38748.ec383ffc-5fe5-49f9-a4fc-eb6179fbeaa8.c839891b-09c7-4b83-ab16-fff7162d94d1.8d06fb63-eedc-4dcb-9e01-8bff5083fac0

Numpy-Pandas-Scikitlearn-On-Ubuntu24-04LTS

de Cloudtrio Solutions

NumPy, Pandas, and Scikit-Learn are three of the most widely used Python libraries in data science and machine learning.

NumPy-Pandas-Scikit-Learn on Ubuntu 24.04 LTS provides a fully pre-configured data science and machine learning environment optimized for Azure. This ready-to-use Linux image includes Python with essential analytics libraries like NumPy, Pandas, and Scikit-Learn, enabling seamless numerical computing, data analysis, and ML model development on Azure virtual machines.

This image is ideal for AI developers, data analysts, students, and ML practitioners looking for a reliable environment to perform preprocessing, data transformation, feature engineering, and algorithm training without any setup hassle. Simply deploy the VM from Azure Marketplace and start building your analytics or ML workflows instantly.

Get started with "NumPy-Pandas-Scikit-Learn on Ubuntu 24.04 LTS" — a secure, scalable, and cloud-ready platform validated for Azure workloads. This solution eliminates installation overhead, helping teams focus on innovation, model accuracy, and data-driven insights.

Developed and validated by CloudTrio Solutions, this image ensures smooth deployment of Python data science projects on Azure. Our Azure-certified experts are available 24/7 via phone and email to assist with setup, configuration, or troubleshooting.

Key Features Available in NumPy-Pandas-Scikit-Learn on Ubuntu 24.04 LTS:

  • Pre-loaded NumPy, Pandas, and Scikit-Learn libraries
  • Optimized for machine learning, data analysis, and automation tasks
  • Fully open-source and free to use
  • Secure, stable, and performance-tuned for Azure
  • Ideal for building, testing, and deploying ML models
  • Designed for scalability across Azure compute resources

Disclaimer: CloudTrio Solutions does not provide commercial licenses for any open-source software included in this image. All components are offered under their respective open-source licenses.

Default port: 8080
Allowed port: 8080

Learn More:

Managed Azure Services
Solutions on Microsoft Azure