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Are you using Jupyter Notebooks with IRIS? Are you using the vscode-iris-jupyter-server VS Code extension for your notebooking?

I am documenting a demo of InterSystems IRIS featuring Embedded Python and Jupyter Notebook deployed on the same container, and an Embedded Python application developed on that Jupyter

Links Jupyter Apache Toree Apache Spark Load a ML model into InterSystems IRIS K-Means clustering of the Iris Dataset The way to launch Apache Spark + Apache Zeppelin + InterSystems

Hi, you can also try iris-magic : https://github.com/grongierisc/ipython-iris-magic also available on pypi : https://pypi.org/project/ipython-iris-magic/ Yes, here. Nice!

This extension allows you to browse and edit InterSystems IRIS BPL processes as jupyter notebooks. Note that currently default Python 3 executor is used.

You can read about it on Open Exchange, and install it via Marketplace or directly in VS Code by searching for 'iris jupyter'.

[alt text](https://i.imgur.com/DPQFFnd.gif "Sneak Peek") ## Jupyter Kernels 101 There are several ways to create a [Jupyter Kernel](https://jupyter-client.readthedocs.io/en/stable

Earlier this year I announced availability of a VS Code extension for coding in ObjectScript, Embedded Python or SQL using the notebook paradigm popularized by Jupyter.

the necessary modules import iris # Do the magic iris.system.Version.GetVersion() ``` You can run this notebook using Jupyter Notebook: ```bash jupyter notebook src/python

Keywords: PyODBC, unixODBC, IRIS, IntegratedML, Jupyter Notebook, Python 3 Purpose A few months ago I touched on a brief note on "Python JDBC connection into IRIS", and since

This project is my attemp to implement a simple notebook system, combining IRIS Analytics capabilities, with a custom notebook system - largelly inspired by Jupyter notebooks.

The Jupyter support is very exciting, adding a neat and highly appropriate mechanism for exposing IRIS-side concepts to a typical Python environment (Jupyter).

Install Jupyter using pip: pip install jupyter jupyter --version Run Jupyter Notebook: jupyter notebook This will open Jupyter in your web browser. 8.

Keywords: Python, JDBC, SQL, IRIS, Jupyter Notebook, Pandas, Numpy, and Machine Learning 1.