This article will introduce you to the concept of virtual environments in Python, which are essential for managing dependencies and isolating project from the OS.

What is a Virtual Environment?

A virtual environment is a folder that contains :

• A specific version of Python
• At start an empty site-packages directory

Virtual environments will help you to isolate your project from the OS Python installation and from other projects.

How to use it?

Introduction

InterSystems IRIS allows you to build REST APIs using ObjectScript classes and the %CSP.REST framework. This enables the development of modern services to expose data for web apps, mobile apps, or system integrations.

In this article, you'll learn how to create a basic REST API in InterSystems IRIS, including:

• A persistent data class
• A REST class with GET and POST methods
• A web application to expose the API

• A full demonstration using Docker

The Rut

Up until early this year, I haven't been not doing much coding at all -- I had gotten sick of it.

After many years as a hands-on software engineer and data scientist, I got burned out around 2015. I switched to business development roles focused on "external innovation," then joined InterSystems in 2019 as a product manager. I missed the creative aspects of coding, but not the tedium. The endless cycle of boilerplate, debugging, and context-switching had left me creatively depleted.

Table of Contents

1. Introduction
2. Version Control
3. Exporting Classes
4. Exporting BI Analytics classes
5. Exporting globals

Introduction.

In this article, we'll cover a quick start to Git development with the InterSystems Developer Community and version control practices when working with IRIS InterSystems. We'll cover scenarios where we need to export Interoperability classes, globals, and analytics elements such as cubes and dashboards. These scenarios encompass key version control practices with IRIS.

To get started, you'll need:

1. Register and log in to GitHub
2. Be a member of the intersystems-community organization on Git

Getting started with IRIS InterSystems is very simple!

Hello Community,

Alongside the InterSystems Open Exchange application gallery, the InterSystems Community GitHub hosts examples, libraries, and demos built with InterSystems technologies.

🔹 InterSystems Community GitHub (github.com/intersystems-community)

It includes:

• Example applications and templates
• Libraries and connectors
• Experimental projects and demos

These repositories are not officially supported by InterSystems, but they can be useful for learning and exploring InterSystems technologies.

You’re welcome to explore the repositories and use them as a reference for your own projects.

I was really surprised that such a flexible integration platform with a rich toolset specifically for app connections has no out-of-the-box Enterprise Service Bus solution. Like Apache ServiceMix, Mule ESB, SAP PI/PO, etc, what’s the reason? What do you think? Has this pattern lost its relevance completely nowadays? And everybody moved to message brokers, maybe?

Wiki time: An enterprise service bus (ESB) implements a communication system between mutually interacting software applications in a service-oriented architecture (SOA) .

I’m pleased to announce the release of tree-sitter-objectscript, a new open-source tree-sitter grammar that brings first-class ObjectScript support to modern editors. If you caught the preview at READY ’25, you’ll be glad to know it’s now up on Github:

https://github.com/intersystems/tree-sitter-objectscript

What Does It Provide?

• Fast & Precise Parsing: A powerful grammar for ObjectScript, enabling real-time syntax parsing, smart highlighting, and structural editing in modern code editors.
• Polyglot-Awareness: ObjectScript

I installed and configure CodeTidy in my local development environment, without InterSystems source-control (git-source-control) and only git for source control.

I would like to use only CodeTidy to stablish an automated  Linting and Code Style Validation for InterSystems ObjectScript code triggered by GitHub Actions.

Could you shed some light on how to accomplish that?

This will be an introduction to Python programming in the context of IRIS.

Before anything I will cover an important topic: How python works, this will help you understand some issues and limitations you may encounter when working with Python in IRIS.

All the articles and examples can be found in this git repository: iris-python-article

How Python works

Interpreted Language

Python is an interpreted language, which means that the code is executed line by line at runtime even when you import a script.

What does this mean ? Let's take a look at the following code:

# introduction.

I am seeking work with InterSystems HealthConnect/Cache. My experience is working with Rules and DTLs, plus message search, and export of components.With 10 years of dedicated expertise in SOA and ESB platform development, I have successfully designed and implemented enterprise-level integration solutions for large organizations, driving significant improvements in system interoperability and business efficiency.I have actively developed and supported HL7 V2/V3 、FHIR、XML/JSON interfaces.I reside in China. Available for full-time or contract positions, with remote work options preferred.

Hi all,

I'm exited to announce a GitHub Action to do direct deploy code from a github repository direct to a IRIS Instance.

Pleas visit https://openexchange.intersystems.com/package/Github-Action-IRIS-Deployer

# IRIS-Intelligent Butler
IRIS Intelligent Butler is an AI intelligent butler system built on the InterSystems IRIS data platform, aimed at providing users with comprehensive intelligent life and work assistance through data intelligence, automated decision-making, and natural interaction.
## Application scenarios
 adding services, initializing configurations, etc.

Prompt

Firstly, we need to understand what prompt words are and what their functions are.

Prompt Engineering

Hint word engineering is a method specifically designed for optimizing language models.
Its goal is to guide these models to generate more accurate and targeted output text by designing and adjusting the input prompt words.