Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Embedded Python: Bring the Python Ecosystem to Your ObjectScript App

Hey Developers,

We're pleased to announce the next InterSystems online programming competition: 

🏆 InterSystems AI Programming Contest 🏆

Duration: June 28 - July 25, 2021

Total prize: $8,750 

Landing page: https://contest.intersystems.com

Hi Developers!

Here're the technology bonuses for the InterSystems IRIS AI contest that will give you extra points in the voting.

IntegratedML usage - 4 points

Use InterSystems IntegratedML in you AI/ML solution. Here is the template that uses it.

Be sure that the IRIS version is not less than 2021. The latest ML images with ZPM are:

intersystemsdc/iris-ml-community:2021.1.0.215.0-zpm

intersystemsdc/irishealth-ml-community:2021.1.0.215.0-zpm

R Gateway and Python gateway usage - 4 points

InterSystems IRIS 2021 release contains two new features - R gateway and Python gateway. Here is the template on how to use the R gateway. Here is a short demo of how to use it.

Embedded Python usage - 4 points

Embedded Python is a very new feature of InterSystems IRIS that gives you the option to use python as a "first-class citizen" in backend business logic development with InterSystems classes. Short demo of Embedded Python.

Embedded python could be used in "on-demand" images that could be delivered via InterSystems Early Access Program (EAP) if you refer to python-interest@intersystems.com.

Here is the template package on how to use Embedded Python deployable with ZPM. Don't forget to change the image to the one you get from the Early Access program.

PMML usage - 4 points

PMML  - Predictive Modelling Markup Language - can be used to build AI/ML solutions with InterSystems IRIS. Check with documentation.

There is an example in Open Exchange on how to use PMML.

Hey Developers,

We have some good news for you:

💥 InterSystems AI contest participants can use Embedded Python in their solutions! So if you are not yet a member of the Embedded Python Early Access Program (EAP), now is the time! 

Refer to python-interest@intersystems.com and you'll get FREE access to the InterSystems IRIS Embedded Python features.

In addition, we invite all EAP participants to the special Embedded Python kick-off webinar tomorrow, July 6 at 10:00 AM EDT – an easy start on how to use Embedded Python! Demonstration of the new features of the data platform, examples applications, and of course rewards. 

After you become an EAP member, you will receive a special link to join the kick-off webinar:

➡️ RSVP: python-interest@intersystems.com

Hi Community,

We're pleased to invite all the developers to the upcoming InterSystems AI Contest Kick-Off Webinar! The topic of this webinar is dedicated to the InterSystems AI programming contest.

During the webinar, we will demo how to load data into IRIS, how to deal with it using ODBC/JDBC and REST, and how to use special AI/ML features of IRIS: IntegratedML, DataRobot, R Gateway, Embedded Python, PMML.

Date & Time: Monday, June 28 — 11:00 AM EDT

Speakers:  
🗣 @Aleksandar Kovacevic, InterSystems Sales Engineer
🗣 @Théophile Thierry, InterSystems Intern
🗣 @Bob Kuszewski, Product Manager - Developer Experience, InterSystems  
🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager

We’re looking for Python developers to participate in our Embedded Python Early Access Program!  If you (or someone you know) are a Python developer and are interested, please contact us via the email address below.

InterSystems is bringing the power and simplicity of Python to IRIS.  We’re hard at work integrating Python directly into the IRIS kernel, making it a full peer to ObjectScript.

Hi Developers,

Get a preview of the upcoming Embedded Python feature of InterSystems IRIS:

⏯ Embedded Python in InterSystems IRIS: Sneak Peek

Hi Community,

See how the new embedded Python feature enables you to write user-defined SQL functions and stored procedures in Python:

⏯ Embedding Python in SQL: Write Your Stored Procedures in Python

Hi developers!

Recently we announced the preview of Embedded Python technology in InterSystems IRIS.

Check the Sneak Peak video by @Robert.Kuszewski.

Embedded python gives the option to load and run python code in the InterSystems IRIS server. You can either use library modules from Python pip, like numpy, pandas, etc, or you can write your own python modules in the form of standalone py files.

So once you are happy with the development phase of the IRIS Embedded Python solution there is another very important question of how the solution could be deployed.

One of the options you can consider is using the ZPM Package manager which is described in this article.

This is a demo to make use of a simple WebSocket Client with Embedded Python in IRIS.

How to Test it

• Run an Iris Session in Docker
• Select your WebSocket Echo Server
• Enter the text you want to send or generate it
• Send it and see the result

$ docker-compose exec iris iris session iris "##class(rccpy.WSockPy).Run()"

*** Welcome to WebSocket Embedded Python Demo ***

Collecting websocket-client


Hints

%SYS.Python.html is a preliminary class docu to see available functions

run time

Image search like Google's is a nice feature that wonder me - as almost anything related to image processing.

A few months ago, InterSystems released a preview for Python Embedded. As Python has a lot of libs for deal with image processing, I decided to start my own attemptive to play with a sort of image search - a much more modest version in deed :-)

A tast of theory 🤓

In order to do an image search system, fist it's necessary select a set of features to be extracted from images - these features are also called descriptors.

This is a first attempt to use Embedded Python in IRIS
The Python code is adapted from solutions for Advent of Code 2020 contest.
Test data are all input to my personal challenge.

Prerequisites

Make sure you have git and Docker desktop installed.

Installation

Clone/git pull this repo into any local directory

$ git clone https://github.com/rcemper/try_embedded_python