Overview
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This is repackaged open-source software product wherein additional charges apply for technical support and maintenance by apps4rent.
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Jupyter Notebook is an open-source interactive web application that allows you to create and share documents that contain live code, equations, visualizations and narrativetet. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning.
*Jupyter allows you to write and run computer code more than 40 programming languages including python, R, Julia and Scala. Ti allows you to write a small snuppet of code, run it and return the result. Notebooks created from the jupyter Notebooks are shareable, reproducible research documents which include rich text elements, equations, code and their outputs. Notebooks can also be exported into raw code files, HTML or PDF documents or used to create interactive slideshows or web pages.
- 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. For more details visit: https://www.apps4rent.com/managed-aws/
Highlights
- Apps4Rent provides Jupyter Notebook (using pip) installed on windows server 2019which is ready to use for Production Environment.
- Project Jupyter is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages.
- For any custom build AMI's of your choice contact us on "support@apps4rent.com". For more details visit: https://www.apps4rent.com/managed-aws/
Details
Typical total price
$0.164/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.10 | $0.008 | $0.108 |
t2.micro AWS Free Tier | $0.10 | $0.016 | $0.116 |
t2.small | $0.10 | $0.032 | $0.132 |
t2.medium Recommended | $0.10 | $0.064 | $0.164 |
t2.large | $0.10 | $0.121 | $0.221 |
t2.xlarge | $0.10 | $0.227 | $0.327 |
t2.2xlarge | $0.10 | $0.433 | $0.533 |
t3.nano | $0.10 | $0.01 | $0.11 |
t3.micro AWS Free Tier | $0.10 | $0.02 | $0.12 |
t3.small | $0.10 | $0.039 | $0.139 |
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 Windows:
- Connect to your Windows instance via port no. 3389 using RDP Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/WindowsGuide/connecting_to_windows_instance.html Sign-in credentials: Username: Administrator
- This software does not store any sensitive customer information.
- This software does not require any type of data encryption configuration.
- programmatic system credentials and cryptographic keys are not required for this product.
- Here Jupyter Notebook on windows server 2019 is installed using pip a package management system. Python 3.12.5 and pip 24.2 is installed on the machine.
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Run the following command in the command prompt to launch Jupyter Notebook using command-line: jupyter notebook note: The above command will automatically start the notebook server on your machine if not you may access the notebook server from the browser using http://localhost:8888 link. By default, a notebook server runs locally and is accessible only from localhost .
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Run the following command in the command prompt to know where Jupyter isinstalled on your computer: where jupyter
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To shut down the server press ctrl+c, the server will stops, to access the notebook server from the browser, keep server running using command (jupyter notebook).
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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.
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