In the ever-evolving landscape of data science and machine learning, having the right tools at your disposal can make all the difference. In this article, we want to shine a spotlight on two essential Python libraries that have become indispensable for data scientists and machine learning practitioners alike: Matplotlib and scikit-learn.

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Hi Community,

Imagine enabling your application to read text to your customer? This is now possible with the new IRIS feature, Embedded Python. With this new functionality IRIS can natively run any open source or commercial Python libraries natively. gTTS (https://pypi.org/project/gTTS/) is a free library that transforms text into audio using the Google Translate service.

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Question
· Oct 15, 2023
embedded Python over ECP

With ECP we have the option to have a collection of Frontend instances
All Frontend servers typically have a common Master in the background
Concentrating data on the Master server is the primary goal.

As a side effect, this applies also to Classes, Routines, .. anything stored in Globals.
This is probably not the most efficient setup. But rather common anyhow.

Is embedded Python code also stored in Globals?

What is the recommended solution for a similar installation?

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Hi Community,

This post is a introduction of my open exchange iris-fhir-client application.

iris-fhir-client can connect to any open FHIR Server by using embedded python with the help of fhirpy Library.
Get Resource information by terminal and by using CSP web application.

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Question
· Oct 15, 2023
MIRROR for Embedded Python ?

MIRROR is the best solution for almost immediate replications to a Failover Server.
The related mechanics are based on Global Journaling.

Globals hold Data and Classes and Routines and more ...
If Mirroring is in place all is in sync. With minimum delays
This is of course rather useful for code changes in Classes, Routines, ....

To what extent is Embedded Python covered by Mirroring?
Or:
What is required to Synchronize EmbeddedPython like Mirroring.

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Pandas is not just a popular software library. It is a cornerstone in the Python data analysis landscape. Renowned for its simplicity and power, it offers a variety of data structures and functions that are instrumental in transforming the complexity of data preparation and analysis into a more manageable form. It is particularly relevant in such specialized environments as ObjectScript for Key Performance Indicators (KPIs) and reporting, especially within the framework of the InterSystems IRIS platform, a leading data management and analysis solution.

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Article
· Feb 7, 2022 1m read
GlobalToJSON-embeddedPython

I have created a package to export a Global into JSON object file and to re-create it by reloading from this file
embeddedPython refers to the new available technologies. It should be understood as a learning exercise of
how to handle the language interfaces. Only Global nodes containing data are presented in the generated JSON file.

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I recently had the need to monitor from HealthConnect the records present in a NoSQL database in the Cloud, more specifically Cloud Firestore, deployed in Firebase. With a quick glance I could see how easy it would be to create an ad-hoc Adapter to make the connection taking advantage of the capabilities of Embedded Python, so I got to work.

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As you have seen in the latest community publications, InterSystems IRIS has included since version 2024.1 the possibility of including vector data types in its database and based on this type of data vector searches have been implemented. Well, these new features reminded me of the article I published a while ago that was based on facial recognition using Embedded Python.

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Hi Developers,

Join us at the upcoming Developer Roundtable on April 25th at 9 am ET | 3 pm CET. 📍
We will have 2 topics covered by the invited experts and open discussion as always.

Tech Talks:
Practical Usage of Embedded Python - by Stefan Wittmann Product Manager, InterSystems

Recording:

https://www.youtube.com/embed/a6VH4Hg5TmI
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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Hi Developers!

Here're the technology bonuses for the InterSystems "Sustainability" Interoperability Contest 2022 that will give you extra points in the voting:

  • Sustainability Topic
  • Sustainability Dataset
  • Business Process BPL or Business Rule DTL Usage
  • Custom Interoperability Adapter
  • Production EXtension(PEX) Python, Java, or .NET usage
  • Embedded Python usage
  • Docker container usage
  • ZPM Package Deployment
  • Online Demo
  • Code Quality pass
  • Article on Developer Community
  • The second article on Developer Community
  • Video on YouTube

See the details below.<--break->

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So, I know that I can return a SQL Error message from my SQL Procedure written in ObjectScript, with code like this

$ cat <<EOF | irissqlcli iris://_SYSTEM:SYS@localhost:1972/USER
CREATE or REPLACE PROCEDURE test()
LANGUAGE OBJECTSCRIPT
{
 SET %sqlcontext.%SQLCODE = 400
 SET %sqlcontext.%ROWCOUNT = -1
 SET %sqlcontext.%Message = "test error message"
};

CALL test();

EOF
[SQLCODE: <-400>:<Fatal error occurred>]
[Location: <SPFunction>]
[%msg: <test error message>]

But I did not find how to do it with Python. I can't find %sqlcontext variable available there

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This example demonstrates the difference you may experience when you write to
Gllobals directly from Embedded Python compared to native ObjectScript.

To make this demo useful I start 2 background jobs that simply write sequentially
to a dedicated global. A common control method signals for a synchronous start.
Similar a common stop & view interrupts data feeding.

That's the principle process:

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Date and Time is an important factors in our life. Because all applications are engaging based on Date/Time. But our world is split into multiple time zones. if our product is launched in the world, to maintain the history of events we are definitely required to convert all times to our local time or UTC ( Coordinated Universal Time ). As I know, many known programming languages of C#, JavaScript, Java, etc., provided the library to convert the date and time. i.e with a time zone name we can be able to convert without knowing the UTC offset.

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Article
· Apr 5, 2022 4m read
Serializing Python objects in globals

Motivation

This project was thought of when I was thinking of how to let Python code deal naturally with the scalable storage and efficient retrieving mechanism given by IRIS globals, through Embedded Python.

My initial idea was to create a kind of Python dictionary implementation using globals, but soon I realized that I should deal with object abstraction first.

So, I started creating some Python classes that could wrap Python objects, storing and retrieving their data in globals, i.e., serializing and deserializing Python objects in IRIS globals.

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Methods written in ObjectScript can use pass-by-reference arguments to return information to the caller. Python doesn’t support pass-by-reference arguments, so Embedded Python in IRIS doesn’t support them either. That's it, that's the end of the post, hope you liked it. 😉 But wait, what about the Classic Rock & Roll?

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Hello Community,

SQL language remains the most practical way to retrieve information stored in a database.

The JSON format is very often used in data exchange.

It is therefore common to seek to obtain data in JSON format from SQL queries.

Below you will find simple examples that can help you meet this need using ObjectScript and Python code.

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