Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Supercharge your scientific and technical workflows with SciPy, the premier Python library for advanced computing, now available on Ubuntu Ubuntu22.04 LTS in the AWS Marketplace.
SciPy is a free and open-source Python library packed with powerful tools for numerical computation, optimization, signal processing, data analysis, and much more. Built on the foundation of NumPy, it extends its capabilities to tackle complex scientific and engineering challenges.
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
- Open-source and community-driven: Enjoy ongoing development and support.
- Performance optimized: Efficient algorithms for fast computation.
- Cross-platform compatible: Works on various operating systems.
Details
Typical total price
$0.146/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
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
Content disclaimer
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
Additional details
Usage instructions
- For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ubuntu
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This software does not store any sensitive customer information.
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This software does not require any type of data encryption configuration.
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Programmatic system credentials and cryptographic keys are not required for this product.
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To verify the Scipy installation, follow the commands below:
a) To see the list of directories: ls b) SciPy is installed in the virtual environment "virtual_env" with all the required dependancies (numpy scipy matplotlib ipython jupyter pandas sympy nose). c) To activate the virtual environment "virtual_env": source virtual_env/bin/activate d) To check the installed version of scipy: pip show scipy or python3 -m pip show scipy e) To check the installed version of numpy: pip show numpy or python3 -m pip show numpy f) To check the installed version of numpy: pip show pandas or python3 -m pip show pandas g) To check the installed version of numpy: pip show sympy or python3 -m pip show sympy h) Open a Python shell by typing python3. Once the Python shell is open, type the following commands:
- import scipy
- scipy.version : To check the installed version of scipy.
i) To come out of the virtual environment: deactivate
- Below are the minimum external resources subscriber needs to have to use this product:
- An Internet Connection is required in order for this product to function as expected.
- We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.
Support
Vendor 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.