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    NumPy, Pandas & Scikit-learn on Ubuntu 18.04 Apps4Rent

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    AWS Free Tier
    This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.
    Listing Thumbnail

    NumPy, Pandas & Scikit-learn on Ubuntu 18.04 Apps4Rent

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    Overview

    This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. This is a pack of 3 AI/ML Oriented Tools on Ubuntu 18.04.

    NumPy is a general-purpose array processing package which provides tools for handling the n-dimensional arrays. It provides various computing tools such as comprehensive mathematical functions, linear algebra routines. Pandas is an easy to use open-source data analysis and manipulation tool, built on top of the Python programming language.

    Scikit-learn is simple and efficient tools for predictive data analysis. Scikit-learn is a machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, model evaluation, and many other utilities.

    Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable.

    Image may take up to 5-7 minutes for initial launch.

    Highlights

    • Apps4Rent provides NumPy, Pandas and Scikit-learn which is ready to use for Production Environment.
    • Apps4Rent is offering "Pack of 3 product" (3 software's on a single machine) at an affordable price point of USD 0.1/hour (any vCPU).
    • For any custom build AMI's of your choice contact us on "support@apps4rent.com".

    Details

    Categories

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu Datacenter Edition

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t2.medium) in the US East (N. Virginia) Region. View pricing details

    $0.146/hour

    Pricing

    NumPy, Pandas & Scikit-learn on Ubuntu 18.04 Apps4Rent

     Info
    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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (398)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.nano
    $0.10
    $0.006
    $0.106
    t2.micro
    AWS Free Tier
    $0.10
    $0.012
    $0.112
    t2.small
    $0.10
    $0.023
    $0.123
    t2.medium
    Recommended
    $0.10
    $0.046
    $0.146
    t2.large
    $0.10
    $0.093
    $0.193
    t2.xlarge
    $0.10
    $0.186
    $0.286
    t2.2xlarge
    $0.10
    $0.371
    $0.471
    t3.nano
    $0.10
    $0.005
    $0.105
    t3.micro
    AWS Free Tier
    $0.10
    $0.01
    $0.11
    t3.small
    $0.10
    $0.021
    $0.121

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Apps4Rent does not offer commercial licenses or refund to any product mentioned above. The product comes with open-source licenses.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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.

    Additional details

    Usage instructions

    *For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  Sign-in credentials: Username: ubuntu

    *Following are the steps to verify the version as well as installation of NumPy, Pandas & Scikit-learn: Step i) Once you are logged into the instance, update the instance with sudo apt-get update. Step ii) Next run, source my-env/bin/activate. The given command is for activating the virtual environment 'my-env' created to install NumPy, Pandas and Scikit-learn. Step iii) Run the commands below inside the my-env for checking the version of the installed tools as explained: i)To check the version of numpy: pip show numpy ii)To check the version of pandas: pip show pandas iii) To check the version of Scikit-learn: pip show scikit-learn

    *Below are the minimum external resources subscriber needs to have to use this product: i)An Internet Connection is required in order for this product to function as expected ii)We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.

    Resources

    Support

    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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