Question
· Oct 27, 2020
Configure IRIS using Python

I am trying to configure IRIS using python. The first task I wanted to do it change the journal directory. I cannot figure out the right way to work with the Config.Journal class with python. I can get the text to query the current setting.

returnValue = dbnative.classMethodValue("Config.Journal","GetList")
print(returnValue )

But I don't see a straightforward way to parse the $List returned by GetList() I was hoping there was an easier way.

How do I

1. Query configuration parameters?

2. Set configuration parameters?

Using python?

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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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Hello there community,

I am pleased to say that i have started building a product and I have chosen InterSystems technology to be used in it.

But I have a confusion with regard to it.

I actually have to come to a conclusion to whether to use CACHE or IRIS.

I will be using a lot of data and also integrating it along with Python for DEEP and Machine Learning.

Also I do not have an idea of how to get the licensed version of either of that.

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Question
· Sep 9, 2020
Build Python bind

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:

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InterSystems IRIS currently limits classes to 999 properties.

But what to do if you need to store more data per object?

This article would answer this question (with the additional cameo of Community Python Gateway and how you can transfer wide datasets into Python).

The answer is very simple actually - InterSystems IRIS currently limits classes to 999 properties, but not to 999 primitives. The property in InterSystems IRIS can be an object with 999 properties and so on - the limit can be easily disregarded.

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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.

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

Exploring Data

The InterSystems IRIS already has what we need to explore the data: an SQL Engine! For people who used to explore data in
csv or text files this could help to accelerate this step. Basically we explore all the data to understand the intersection
(joins) which should help to create a dataset prepared to be used by a machine learning algorithm.

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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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This is my introduction to a series of posts explaining how to create an end-to-end Machine Learning system.

Starting with one problem

Our IRIS Development Community has several posts without tags or wrong tagged. As the posts keep growing the organization
of each tag and the experience of any community member browsing the subjects tends to decrease.

First solutions in mind

We can think some usual solutions for this scenario, like:

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Pyodbc supports calling stored procedure , but if the IRIS Stored Procedure ROWSPEC has a column with datatype specified as %Date or %Time, Pyodbc fails to fetch it and throws this error.

"

pyodbc.Error: (' 2201', '[ 2201] [Cache ODBC][State : 22018 ][Native Code 22005]\r\nERROR #388: Unknown error, code 22005 (22005) (SQLGetData)')

"

on printing the cursor execute description, pyodbc reads the column as <int>.

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Hi Developers,

Please welcome the new video, specially recorded by @Zhong.Li for the InterSystems IRIS AI Programming Contest:

IntegratedML-Template Demo

https://www.youtube.com/embed/YxpMc3sODxk
[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 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

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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!

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Hey Developers,

New demo show by InterSystems Sales Engineer @Eduard Lebedyuk is already on InterSystems Developers YouTube:

PythonGateway-Template Demo

https://www.youtube.com/embed/5KSpSB1Sdbs
[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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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/)

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ObjectScript Kernel Logo
Jupyter Notebook is an interactive environment consisting of cells that allow executing code in a great number of different markup and programming languages.

To do this Jupyter has to connect to an appropriate kernel. There was no ObjectScript Kernel, that is why I decided to create one.

You can try it out here.

Here's a sneak peek of the results:

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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.

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Hi,

I was playing around with the python binding for caché (2018.1.4) and I ran into some problems.

When executing the class query "List" from SYS.Database the pythonbind interface throws an exception, that seems to be caused by a mismatch of the defined SQL datatypes for this query and what is actually returned (or the lack of type conversion in the pythonbind interface).

Is this a known issue ? Are there solutions/workarounds for this,
Or is this a bug ?

The details:

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Hi Community!

We are glad to invite all the developers to the upcoming InterSystems IRIS Native API Contest Kick-Off Webinar! The topic of this webinar is dedicated to the 3rd IRIS Programming Contest.

Date & Time: Monday, May 18 — 9:00 AM EDT

Speakers:
@Bob Kuszewski, InterSystems Product Manager
@Evgeny Shvarov, InterSystems Developer Ecosystem Manager

What awaits you? Please check the agenda below:

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Hi Developers,

Please welcome the new video specially recorded by InterSystems Product Manager @Bob Kuszewski for the 3rd InterSystems Online Programming Contest on InterSystems IRIS Native API:

Using the IRIS Native API GitHub Template

https://www.youtube.com/embed/bowj02anRM8
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What’s the contest about?

In the last year, InterSystems added and expanded Native APIs for Java, .NET, Python, and Node.js. The Native API provides high speed access to globals, the ability to instantiate and use ObjectScript objects, and fine-grained control over transactions.

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