Juno Connect: Jupyter Client 1.6.13

Rational Matter – Commercial – iOS
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Juno Connect is a client app for Jupyter, a cloud-based computational environment. It allows users to access the computing power of a remote Jupyter server from their iPhone or iPad.

With Juno Connect, users can:
<ul>
 <li>Connect to various cloud-computing services, including CoCalc, Binder, SageMaker, Gradient, and NAAS</li>
 <li>Add and configure their own remote Jupyter servers</li>
 <li>Utilize SSH tunneling with local port forwarding for secure connections</li>
 <li>Take advantage of the full-featured code editor with support for keyboard and trackpad</li>
 <li>Make use of multitasking capabilities on iPad</li>
</ul>

When using Juno Connect, the actual computing takes place on a remote Jupyter server, providing access to unlimited computational resources from iPhone or iPad. Users have the option to connect to their own Jupyter server directly via HTTP/HTTPS or by establishing an SSH tunnel with local port forwarding. Alternatively, they can also use cloud computing services such as CoCalc, Binder, SageMaker, Gradient, or NAAS. For those who prefer executing code on their device, Juno offers another app called Juno that allows autonomous work with Jupyter notebooks on iPhone or iPad.

Juno Connect offers a complete development environment with its full-featured notebook and code editor, providing a rich experience on iPad or iPhone. It supports Dark Mode and Dynamic Type, offers an extended on-screen keyboard, and seamlessly integrates with all hardware keyboards and trackpads. Users can easily and securely connect to their Jupyter server with SSH tunnel using local port forwarding. On iPad, Juno Connect can be launched in Split-screen mode alongside other apps for enhanced productivity.

<h3>WHAT IS JUPYTER?</h3>

Jupyter is an interactive cloud-based computational environment that allows users to combine code execution, rich text, mathematics, plots, and media. The platform is designed to work with Jupyter notebooks, a document format for storing live code, markdown text, plots, images, and equations in LaTeX.

Notebook documents retain all inputs and outputs of the interactive programming session, including the rich output generated by running R, Python, or Julia scripts. This output can include HTML, images, videos, and plots, which are embedded within the Jupyter notebook document. Jupyter notebooks are particularly useful for coding in Python for data analysis, machine learning, and computational science in general.

A notebook consists of a sequence of cells, each representing either narrative text (in the form of markdown text or HTML) or a coding script with text or media output. This structure makes notebooks both human-readable documents for analysis description and results visualization and executable scripts for data analysis or programming experiments.

Jupyter supports multiple programming languages such as Python, R, Julia, and Scala. It also allows users to leverage big data tools like Apache Spark from Python, R, and Scala or explore data using libraries such as pandas, scikit-learn, ggplot2, PyTorch, and TensorFlow. Juno Connect enables users to utilize any language kernels and libraries installed on their Jupyter server directly on their iPhone or iPad.

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