The Jupyter Notebook is the web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It is built on NumPy arrays and designed to work with the broader SciPy stack and consists of several plots like line, bar, scatter, histogram, etc.

This image comes with all the software you need to get started with Jupyter Notebook and Matplotlib on Azure. You can simply create a new Azure VM and select this image from the marketplace.

This image is pre-configured with all the software you need to get started with Visualization using Jupyter Notebook and Matplotlib on Azure. Apps4Rent takes away all the complexities in integration to Azure. All you need to do is download the custom-built image, and you are ready to go.

Usage Instructions:

To check the version of Jupyter Notebook and Matplotlib, run the Windows Command Prompt as administrator and follow the steps below: i) Change the directory to C:\myenv by running: cd C:\myenv ii) Activate the virtual environment created by running: my-env\Scripts\activate.bat iii) To check the version of Jupyter Notebook: pip show notebook (You will see the version as: 7.1.0) iv) To check the version of Matplotlib : pip show matplotlib (You will see the version as: 3.8.3).

Easy Jupyter Notebook and Matplotlib on Windows Server 2019 Support by Azure Experts

We at Apps4Rent help you deploy Jupyter Notebook and Matplotlib on Windows Server 2019 across different OSes on Azure. Tested by the Apps4Rent engineers, Jupyter Notebook and Matplotlib on Windows Server 2019 is supported by Azure cloud infrastructure precisely. In case you have any issues, our Azure experts are available 24/7 via phone, chat, and email. Get in touch today!

Key Features of Jupyter Notebook:

• Jupyter Notebook allows you to run code cell-by-cell, observing the results immediately, fostering an interactive coding experience.
• Popular libraries like Matplotlib, Seaborn, and Plotly seamlessly integrate with Jupyter Notebook, enabling you to create informative visualizations directly within your notebooks.
• Easily share notebooks with others by exporting them as HTML, PDF, or other formats, facilitating collaboration and knowledge sharing.

Key Features Available of Matplotlib:

• Create publication quality plots
• Open source. Make interactive figures that can zoom, pan, update.
• Customize visual style and layout. Export to many file formats.
• Embed in JupyterLab and Graphical User Interfaces.
• Use a rich array of third-party packages built on Matplotlib.

Disclaimer: Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.

Default port:3389
Allow port:3389

Default port:80
Allow port:80

Default port:443
Allow port:443

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