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#Python

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Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace

Official site.

InterSystems Python Binding Documentation.

Using the below python script I am getting :

$ ./hello_world.py
Traceback (most recent call last):
File "/home/wwillett/dev/vscode-objectscript/Samples-python-helloworld/./hello_world.py", line 34, in <module>
run()
File "/home/wwillett/dev/vscode-objectscript/Samples-python-helloworld/./hello_world.py", line 21, in run
connection = irisnative.createConnection(ip, port, namespace, username, password)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: * [ERROR_SEQUENCE_ERROR]

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Hey Community!

The latest webinar, recorded by InterSystems Sales Engineers @Sergey Lukyanchikov and @Eduard Lebedyuk, is already on InterSystems Developers YouTube! Please welcome:

"Machine Learning Toolkit (Python, ObjectScript, Interoperability, Analytics) for InterSystems IRIS"

https://www.youtube.com/embed/z9O0F1ovBUY
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In this article, I am trying to identify the multiple areas to develop the features we can able to do using python and machine learning.

Each hospital is every moment trying to improve its quality of service and efficiency using technology and services.

The healthcare sector is one of the very big and vast areas of service options available and python is one of the best technology for doing machine learning.

In every hospital, humans will come with some feelings, if this feeling will understand using technology is make a chance to provide better service.

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Hi Community,


In this article, I will introduce Python Flask Web Framework. Together we will create a minimal web application to connect to IRIS and get data from it.

Below you can find the steps we will need to follow:

  • Step 1 : Introduction to Python Flask Web Framework
  • Step 2 : Installation of Flask module
  • Step 3 : Creation of web application using Flask
  • Step 4 : Use of HTML Templates
  • Step 5 : Installation of IRIS Python Native module
  • Step 6 : Establishment of a connection with IRIS
  • Step 7 : Transferring data from IRIS to Flask and displaying it

So Let's start with step 1

Step1-Introduction to Python Flask Web Framework

Flask is a small and lightweight Python web framework that provides useful tools and features that make creating web applications in Python easier. It gives developers flexibility and is a more accessible framework for new developers since it allows to build a web application quickly using only a single Python file. Flask is also extensible and doesn’t requires a particular directory structure or complicated boilerplate code before getting started.


For more details please view Flask Documentations

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We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

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Is there a way to automatically transform Object Script arrays to Python lists? This code results in a list of arrays

Iter0 =  dbnative.iterator("HS.Data.OIDMapD")
for subscript, value in Iter0.items():
    print(f"subscript={subscript}, value={value}")

Here is the result:

subscript=1, value=2.16.840.1.113883.3.86ISCInterSystems Corporation

I suppose it would be too hard to parse this into a list, I was just wondering if there was a function provided to make it convenient and proper.

Thanks,

Marlin Mixon

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Index

Part 1

  • Introducing Flask: a quick review of the Flask Docs, where you will find all the information you need for this tutorial;
  • Connecting to InterSystems IRIS: a detailed step-by-step of how to use SQLAlchemy to connect to an IRIS instance;

Part 2

  • A discussion about this kind of implementation: why we should use it and situations where it is applicable.
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Hey Developers,

Watch this video to learn how to use Embedded Python using applications from the Open Exchange app gallery:

⏯ Embedded Python Use Cases @ Global Summit 2023

https://www.youtube.com/embed/hOnhZ9QM3vM
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In this GitHub we fine tune a bert model from HuggingFace on review data like Yelp reviews.

The objective of this GitHub is to simulate a simple use case of Machine Learning in IRIS :
We have an IRIS Operation that, on command, can fetch data from the IRIS DataBase to train an existing model in local, then if the new model is better, the user can override the old one with the new one.
That way, every x days, if the DataBase has been extended by the users for example, you can train the model on the new data or on all the data and choose to keep or let go this new model.

Open Exchange app
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Article
· Feb 8, 2022 1m read
GlobalToJSON-embeddedPython-pure

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.
Differently from the previous example, this one is using embedded Python only, no ObjectScript. Therefore PURE

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I have the object query:

s Rset=##class(%ResultSet).%New("%SYSTEM.License.UserListAll")

I can loop through that query and it generates the report information that I need.

I have a Python process where I use the intersys import to connect to the Cache instance. But I have been unable to determine the correct syntax in Python for this query. Being that 'UserListAll' is a query I attempted to user:

res = <query>.prepare("select * from %SYSTEM.License_UserListAll")

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Keywords: Jupyter Notebook, Tensorflow GPU, Keras, Deep Learning, MLP, and HealthShare

1. Purpose and Objectives

In previous"Part I" we have set up a deep learning demo environment. In this "Part II" we will test what we could do with it.

Many people at my age had started with the classic MLP (Multi-Layer Perceptron) model. It is intuitive hence conceptually easier to start with.

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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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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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Hello everybody,

I've been experimenting with Embedded Python and have been following the steps outlined in this documentation: https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls...

I'm trying to convert a python dictionary into an objectscript array but there is an issue with the 'arrayref' function, that is not working as in the linked example.

This is a snapshoot of my IRIS terminal:

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Article
· Nov 18, 2022 1m read
Jupyter and IRIS - The Simple Version

There are several great articles in the community showing how to use Jupyter and InterSystems IRIS together, and I encourage you to check them out in the link at the end of this article for more in depth understanding.

This is just another one, the difference is on the simplicity. Do you want to just start a container where Jupyter is already connected to an IRIS instance? Then this is for you!

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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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Article
· Dec 7, 2020 6m read
IRIS Python Native API in AWS Lambda

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.

image

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Article
· Jul 25, 2022 8m read
Introduction to Django part 2

In the first part, I've shown how to start a new project on Django, as well as define new models and add already existing models.

This time, I'll introduce an admin panel, available out of the box and how it can be useful.

Important note: do not expect that if you try to repeat actions from this post it will work for you, it does not. During the article, I had to do some fixes in the django-iris project, and even in DB-API driver made by InterSystems to fix some issues there as well, and I think this driver is still in development, and we will get more stable driver in future. Let's decide that this article only explains how it could be if we would have all done.

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