Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for support and maintenance. NumPy provides fast and efficient numerical operations using arrays and mathematical functions, forming the foundation for scientific computing. Pandas builds on NumPy to offer powerful data structures like DataFrames, making it easy to clean, manipulate, and analyze structured data.
Overview
NumPy, Pandas, and H2O together provide a powerful environment for data analysis, scientific computing, and machine learning on Ubuntu 24.04. NumPy delivers fast and efficient numerical computing with multi-dimensional arrays and mathematical functions, while Pandas enables structured data handling, cleaning, and analysis using DataFrames. H2O extends this ecosystem by offering a scalable machine learning platform with built-in algorithms for regression, classification, and predictive modeling. Designed for modern data-driven applications, this stack ensures high performance, ease of use, and compatibility with cloud and enterprise environments, while simplifying installation and maintenance on Ubuntu systems. H2O is an open-source machine learning platform that enables scalable model building, supporting algorithms like regression, classification, and deep learning. Together, these tools allow users to preprocess data, perform analysis, and build predictive models efficiently in real-world applications.
Highlights
- Together they form a powerful Python data stack for data science, analytics, and AI development.
- Offers scalable machine learning for classification, regression, and predictive modeling.
- Used for data manipulation, cleaning, and analysis using DataFrames. H2O
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.06 |
t3.micro | $0.06 |
t2.micro | $0.01 |
t3.large | $0.06 |
r4.large | $0.06 |
r3.large | $0.06 |
t2.large | $0.06 |
t2.2xlarge | $0.06 |
t2.medium | $0.06 |
t3.medium | $0.06 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of April/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands:
sudo su
#python3 #import numpy import pandas import h2o
print("NumPy version:", numpy.version) print("Pandas version:", pandas.version) print("H2O version:", h2o.version)
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: meha@kcloudhubs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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