Connected Data London Conference

TRIADB is an emerging unique and valuable technology in NoSQL database modelling and BI analytics. The following video is from a presentation and demonstration of TRIADB prototype implemented on top of Intersystems Cache database and driven with a CLI in Python (Jupyter-Pandas). In fact this is the second time in the past year that a prototype based on this technology is implemented and demonstrated. The first one was built on top of OrientDB multi-model database and driven by a Mathematica notebook.

https://www.youtube.com/embed/BiEAbpCOC1A?rel=0
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Hey Developers,

In this video, you will learn how to use VS Code with Python:

Using VS Code with Python

https://www.youtube.com/embed/PipmxjiMqfM
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Article
· Jul 7, 2023 8m read
Iris FHIR Python Strategy

Description

With InterSystems IRIS FHIR Server you can build a Strategy to customize the behavior of the server (see documentation for more details).

Image

This repository contains a Python Strategy that can be used as a starting point to build your own Strategy in python.

This demo strategy provides the following features:

  • Update the capability statement to remove the Account resource
  • Simulate a consent management system to allow or not access to the Observation resource
    • If the User has sufficient rights, the Observation resource is returned
    • Otherwise, the Observation resource is not returned
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Hello,

First of all thanks for your time, thoughts, teaching and help:

We wonder how could we get the metrics from http://[Ip]:[Port]/api/monitor/metrics and use them in Kibana to chart statistics.

We would like to ask you how do you use the api monitor metrics, and as a second question, how would you suggest to utilize them in a third party software as Kibana to chart them.

We have thought to do the following:

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Hi Developers!

Here're the technology bonuses for the InterSystems Vector Search, GenAI, and ML contest 2024 that will give you extra points in the voting:

  • Vector Search usage - 5
  • IntegratedML usage - 3
  • Embedded Python - 3
  • LLM AI or LangChain usage: Chat GPT, Bard, and others - 3
  • Questionnaire - 2
  • Docker container usage - 2
  • ZPM Package deployment - 2
  • Online Demo - 2
  • Implement InterSystems Community Idea - 4
  • Find a bug in Vector Search, or Integrated ML, or Embedded Python - 2
  • First Article on Developer Community - 2
  • Second Article On DC - 1
  • First Time Contribution - 3
  • Video on YouTube - 3
  • Suggest a new idea - 1

See the details below.<--break->

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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

Embedded Python: Bring the Python Ecosystem to Your ObjectScript App

https://www.youtube.com/embed/hwd-E7nZ66s
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Hi Developers,

New video is already on InterSystems Developers YouTube:

Embedded Python for ObjectScript Developers: Working with Python and ObjectScript Side-By-Side

https://www.youtube.com/embed/aUDLyWR2rPw
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image

Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

  • Step1: Install required libraries

  • Step2: Create patterns and responses file

  • Step3: Train the Model

  • Step4: Create ChatBot Application based on the trained model

So Let us start.

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Hi Community,

As you may know, we successfully held InterSystems Developers Meetup in Boston at Global Summit 2019. And now it's time to find out which solutions development on InterSystems IRIS have been discussed!

Please welcome the Meetup video recording on InterSystems Developers YouTube Channel:

InterSystems Developers Meetup - Global Summit 2019

https://www.youtube.com/embed/PUnZwDxqEZM
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Hello everyone, this is with great pleasure that I announce the V2 of my application 'Contest-FHIR'.

In this new version, I used new tools and techniques I discovered at the EUROPEAN HEALTHCARE HACKATHON in which I was invited by InterSystems as a guest and as a mentor to display the multiple projects I did in my intership back in April 2022.

Today I present to you the V2 of my application, it can now transform CSV to FHIR to SQL to JUPYTER notebook.

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