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#Python

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Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace

Official site.

InterSystems Python Binding Documentation.

Hi Community,

In this article, I will introduce my application iris-AgenticAI .

The rise of agentic AI marks a transformative leap in how artificial intelligence interacts with the world—moving beyond static responses to dynamic, goal-driven problem-solving. Powered by OpenAI’s Agentic SDK , The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm.
This application showcases the next generation of autonomous AI systems capable of reasoning, collaborating, and executing complex tasks with human-like adaptability.

Application Features

  • Agent Loop 🔄 A built-in loop that autonomously manages tool execution, sends results back to the LLM, and iterates until task completion.
  • Python-First 🐍 Leverage native Python syntax (decorators, generators, etc.) to orchestrate and chain agents without external DSLs.
  • Handoffs 🤝 Seamlessly coordinate multi-agent workflows by delegating tasks between specialized agents.
  • Function Tools ⚒️ Decorate any Python function with @tool to instantly integrate it into the agent’s toolkit.
  • Vector Search (RAG) 🧠 Native integration of vector store (IRIS) for RAG retrieval.
  • Tracing 🔍 Built-in tracing to visualize, debug, and monitor agent workflows in real time (think LangSmith alternatives).
  • MCP Servers 🌐 Support for Model Context Protocol (MCP) via stdio and HTTP, enabling cross-process agent communication.
  • Chainlit UI 🖥️ Integrated Chainlit framework for building interactive chat interfaces with minimal code.
  • Stateful Memory 🧠 Preserve chat history, context, and agent state across sessions for continuity and long-running tasks.

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This article presents a potential solution for semantic code search in TrakCare using IRIS Vector Search.

Here's a brief overview of results from the TrakCare Semantic code search for the query: "Validation before database object save".

  • Code Embedding model

There are numerous embedding models designed for sentences and paragraphs, but they are not ideal for code specific embeddings.

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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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It's been a long time since I didn't write an update post on IoP.

image

So what's new since IoP command line interface was released?

Two new big features were added to IoP:
- Rebranding: the grongier.pex module was renamed to iop to reflect the new name of the project.
- Async support: IoP now supports async functions and coroutines.

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Using Flask, REST API, and IAM with InterSystems IRIS

Part 1 - REST API

Hello

In this article we will see the implementation of a REST API to perform the maintenance of a CRUD, using Flask and IAM.

In this first part of the article we will see the construction and publication of the REST API in Iris.

First, let's create our persistent class to store the data. To do this, we go to Iris and create our class:

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Hey Developers!

Do you want to reap the benefits of the advances in the fields of artificial intelligence and machine learning? With InterSystems IRIS and the Machine Learning (ML) Toolkit it’s easier than ever.

Join InterSystems Sales Engineers, @Sergey Lukyanchikov and @Eduard Lebedyuk, for the Machine Learning Toolkit for InterSystems IRIS webinar on Tuesday, April 23rd at 11 a.m. EDT to find out how InterSystems IRIS can be used as both a standalone development platform and an orchestration tool for predictive modelling that helps stitch together Python and other external tools.

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Article
· Apr 16, 2023 4m read
Tuples ahead

Overview

Cross-Skilling from IRIS objectScript to Python it becomes clear there are some fascinating differences in syntax.

One of these areas was how Python returns Tuples from a method with automatic unpacking.

Effectively this presents as a method that returns multiple values. What an awesome invention :)

out1, out2 = some_function(in1, in2)

ObjectScript has an alternative approach with ByRef and Output parameters.

Do ##class(some_class).SomeMethod(.inAndOut1, in2, .out2)

Where:

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Hi,

this is a public announcement for the first release of Intersystems Cache Object-Relational Mapper in Python 3. Project's main repository is located at Github (healiseu/IntersystemsCacheORM).

About the project

CacheORM module is an enhanced OOP porting of Intersystems Cache-Python binding. There are three classes implemented:

The intersys.pythonbind package is a Python C extension that provides Python application with transparent connectivity to the objects stored in the Caché database.

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Hi Developers,

Please welcome the new video, specially recorded by @José Pereira for the InterSystems IRIS AI Programming Contest:

⏯ Monitoring your ML model with IntegratedML

https://www.youtube.com/embed/KUjcpp5_a0w
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Hi Community,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ iKnow: Open Source NLP in InterSystems IRIS

https://www.youtube.com/embed/n-TL_Wh7Tv4
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In this article, I am trying to identify the multiple areas to develop the features we can able to do using python and machine learning.

Each hospital is every moment trying to improve its quality of service and efficiency using technology and services.

The healthcare sector is one of the very big and vast areas of service options available and python is one of the best technology for doing machine learning.

In every hospital, humans will come with some feelings, if this feeling will understand using technology is make a chance to provide better service.

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Hi Community,


In this article, I will introduce Python Flask Web Framework. Together we will create a minimal web application to connect to IRIS and get data from it.

Below you can find the steps we will need to follow:

  • Step 1 : Introduction to Python Flask Web Framework
  • Step 2 : Installation of Flask module
  • Step 3 : Creation of web application using Flask
  • Step 4 : Use of HTML Templates
  • Step 5 : Installation of IRIS Python Native module
  • Step 6 : Establishment of a connection with IRIS
  • Step 7 : Transferring data from IRIS to Flask and displaying it

So Let's start with step 1

Step1-Introduction to Python Flask Web Framework

Flask is a small and lightweight Python web framework that provides useful tools and features that make creating web applications in Python easier. It gives developers flexibility and is a more accessible framework for new developers since it allows to build a web application quickly using only a single Python file. Flask is also extensible and doesn’t requires a particular directory structure or complicated boilerplate code before getting started.


For more details please view Flask Documentations

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Hi, Community!

In the previous article, we introduced the Streamlit web framework, a powerful tool that enables data scientists and machine learning engineers to build interactive web applications with minimal effort. First, we explored how to install Streamlit and run a basic Streamlit app. Then, we incorporated some of Streamlit's basic commands, e.g., adding titles, headers, markdown, and displaying such multimedia as images, audio, and videos.

Later, we covered Streamlit widgets, which allow users to interact with the app through buttons, sliders, checkboxes, and more. Additionally, we examined how to display progress bars and status messages and organize the app with sidebars and containers. We also highlighted data visualization, using charts and Matplotlib figures to present data interactively.

In this article, we will cover the following topics:

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Hey Community!

The latest webinar, recorded by InterSystems Sales Engineers @Sergey Lukyanchikov and @Eduard Lebedyuk, is already on InterSystems Developers YouTube! Please welcome:

"Machine Learning Toolkit (Python, ObjectScript, Interoperability, Analytics) for InterSystems IRIS"

https://www.youtube.com/embed/z9O0F1ovBUY
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Hi Community!

Please welcome a new video on InterSystems YouTube Channel:

InterSystems and Python QuickStart

https://www.youtube.com/embed/HYc5wQ0uURg
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Enhanced Password Management: Edit Passwords Seamlessly

In the ever-evolving landscape of digital security, robust password management tools have become indispensable. Our password management application, designed to simplify and secure your online life, now comes with an enhanced feature – the ability to edit passwords with ease.

Why is this feature a game-changer?

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Hi all - we just released the first episode of Season 2 for our Data Points podcast by Learning Services. This episode features a conversation with @Bob Kuszewski about Embedded Python. If you're a Python developer, or if you're simply interested in the functionality, check it out! For more information, head over to https://datapoints.intersystems.com.

https://5e18edf067eb59-03854285.castos.com/player/954854
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Hey Developers,

Don't miss this hands-on session hosted by @Don Woodlock, Vice President of InterSystems Healthcare:

⏯ Machine Learning 201 - Neural Networks and Image Recognition

https://www.youtube.com/embed/lDRemLwc_U4
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Hi Community,

This article is a continuation of my article about Getting to know Python Flask Web Framework

In this article, we will cover the basics of topics listed below:

1. Routing in Flask Framework
2. Folder structure for a Flask app (Static and Template)
3. Getting and displaying data in the Flask application from IRIS.

So, let's begin.

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image
Hello to all developers and IRIS users.
I am submitting to the competition a project for an alternative IRIS management portal that I have long wanted to create. The project was implemented on the Django framework and the intersystems_irispython-3.2.0-py3-none-any.whl library using native IRIS. The Django project is integrated with the telegram messenger and can be launched from a docker container or directly.

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