If you are looking for a slick way to integrate your IRIS solution in the Amazon Web Services ecosystem, server less application, or boto3 powered python script, using the IRIS Python Native API could be the way to go. You don't have to build out to far with a production implementation until you'll need to reach out and get something or set something in IRIS to make your application do its awesome sauce, so hopefully you will find value in this article and build something that matters or doesn't matter at all to anybody else but you as that is equally important.

I am trying to create a database using python. The example shows setting a Name string and a Properties object containing Directory=.

; Use class methods to create an instance
 %SYS>s Name="ABC"
 %SYS>s Properties("Directory")="c:\abc\"
 %SYS>s Status=##Class(Config.Databases).Create(Name,.Properties)
 %SYS>i '$$$ISOK(Status) w !,"Error="_$SYSTEM.Status.GetErrorText(Status)

How do I update and pass the Directory property using Python?

The first full release of our iKnow open-source NLP library is now available on GitHub and PyPI!

Hey Developers,

New demo show by InterSystems Product Manager @Raj Singh is already on InterSystems Developers YouTube:

⏯ Develop a Python Flask app with InterSystems IRIS in 10 minutes

https://www.youtube.com/embed/271CEPw_weY
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I'm testing with an application I'm writing in python.
But I noticed that the pythonbind3 library will only work on the same machine where the cache is running. Is there really such a dependency?

I'm trying to run the examples that are in the / dev / python / samples3 folder, but they only work if I set "LD_LIBRARY_PATH" with the path to the cache installation folder.

But... I have this error when LD_LIBRARY_PATH is empty:

This is the third post of a series explaining how to create an end-to-end Machine Learning system.

Training a Machine Learning Model

When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline?
Training could mean all the development process of a machine learning model OR the specific point in all development process
that uses training data and results in a machine learning model.

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,

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

⏯ IRIS ML Suite Demo

https://www.youtube.com/embed/3-YSnFQnMLU
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Hi Community!

We are pleased to invite all the developers to the upcoming InterSystems AI Programming Contest Kick-Off Webinar! The topic of this webinar is dedicated to the InterSystems IRIS AI Programming Contest.

On this webinar, we will talk and demo how to use IntegratedML and PythonGateway to build AI solutions using InterSystems IRIS.

Date & Time: Monday, June 29 — 11:00 AM EDT

Speakers:
🗣 @Thomas Dyar, Product Specialist - Machine Learning, InterSystems
🗣 @Eduard Lebedyuk, Sales Engineer, InterSystems

Hi developers!

We are starting InterSystems AI Programming Contest next week, and according to the rules, you can include some technology IRIS Features into your solutions, which will give you extra points in the voting.

Here are the technology bonuses for InterSystems AI Programming Contest!

1. IntegratedML usage - 2 expert vote points

IntegratedML is a new technology Introduced in InterSystems IRIS which you can use with InterSystems IRIS 2020.2 Advanced Analytics Preview release. IntegratedML:

• Gives users the ability to create, train, and deploy powerful models from simple SQL syntax without requiring data scientists.
• Wraps "best of breed" open source and proprietary "AutoML" frameworks including DataRobot.
• Focuses on easy deployment to IRIS, so you can easily add machine learning to your applications.

Learn more in IntegratedML Resource Guide.

You can use with IntegratedML template.

2. Python Gateway usage - 1 expert vote point

Python Gateway is an addon to InterSystems IRIS which gives you the way to use Python in InterSystems IRIS environment:

• Execute arbitrary Python code.
• Seamlessly transfer data from InterSystems IRIS into Python.
• Build intelligent Interoperability business processes with Python Interoperability Adapter.
• Save, examine, modify and restore Python context from InterSystems IRIS.

Learn more about Python Gateway.

You can use the Python Gateway template, which includes IntegratedML too.

3. Docker container - 1 expert vote point

The application gets a 'Docker container' bonus if it uses InterSystems IRIS running in a docker container.

Both templates, IntegratedML template and Python Gateway template use docker so you can collect this bonus if you build your solution using these templates.

Or you can use any other Docker-based templates, published on Open Exchange.

Feel free to ask any questions about using the listed technologies.

Good luck in the competition!

Hi Community!

This week is a voting week for the InterSystems IRIS Native API Programming Contest! We have 8 applications — so you have a set of applications to choose from!

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

Hi Developers!

We are pleased to announce the next competition in creating open-source solutions using InterSystems IRIS Data Platform!

Please welcome the third InterSystems IRIS Online Programming Contest for Developers!

And the topic for this contest is InterSystems IRIS Native API.

The contest will last three weeks: May 18 – June 7, 2020.

Making a Chart using Intersystems IRIS + Python

How to use the IRIS Native API in Python to access globals and plot some charts.

Why Python?

With a large adoption and use in the world, Python have a great community and a lot of accelerators | libraries to deploy any kind of application.
If you are curious (https://www.python.org/about/apps/)