I think it's a known fact that Populate Utility has very limited functionality. It supports only one language and one country. The list of possible values does not have so many options. 

There is a kind of tool that now can help with it, named Faker. It has implementations in different languages, including Python. Since IRIS has now had the Embedded Python feature, Python faker can be implemented in IRIS.

This formation, accessible on my GitHub, will cover, in half a hour, how to read and write in csv and txt files, insert and get inside the IRIS database and a distant database using Postgres or how to use a FLASK API, all of that using the Interoperability framework using ONLY Python following the PEP8 convention.

This formation can mostly be done using copy paste and will guide you through everystep before challenging you with a global exercise.
We are available to answer any question or doubt in the comment of that post, on teams or even by mail at lucas.enard@intersystems.com .

Hey Developers,

You're very welcome to join the upcoming InterSystems webinar called "InterSystems IRIS Tech Talk: Python"! 

Date: Wednesday, June 08, 2022
Time: 11:00 AM EDT 

In this tech talk, we’ll go into detail about the breadth of support Python developers have using the InterSystems IRIS data platform, including:

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.

How does it work?

Client: Northwell Health

Role: Senior Developer

Location: Remote

Duration: 6+ Months

Description:

Team Overview:

The FHIR Platform team is tasked with providing the core infrastructure in providing access to Northwell HIE patient data complying with HL7 FHIR and USCDI standards.

Position Summary:

The primary purpose of this role is to provide technical design, coding, testing and documentation for multiple components in the FHIR solution.

Responsibilities:

• Develop end-to-end solutions, participate in code reviews, unit test and deploy.

1. Fhir-client-python

This is a simple fhir client in python to practice with fhir resources and CRUD requests to a fhir server.
Note that for the most part auto-completion is activated, that's the main reason to use fhir.resources.

GitHub

• 1. Fhir-client-python
• 2. Prerequisites
• 3. Installation
  • 3.1. Installation for development
  • 3.2. Management Portal and VSCode
  • 3.3. Having the folder open inside the container
• 4. FHIR server
• 5. Walkthrough
  • 5.1. Part 1
  • 5.2. Part 2
  • 5.3. Part 3
  • 5.4. Part 4
  • 5.5. Conclusion of the walkthrough
• 6. How it works
  • 6.1. The imports
  • 6.2. Creation of the client
  • 6.3.

This is a benchmark built in python and objectscript in InterSystems IRIS.

The objective is to compare the speed for sending back and forth a thousand request/message from a BP to a BO in python and in objectscript.

See https://github.com/LucasEnard/benchmark-python-objectscript for more information.

IMPORTANT : Here are the results of time in seconds, for sending 1000 messages back and forth from a bp to a bo using python, graph objectscript and objectscript.

String messages are composed of ten string variables.

Hi Community,  

See how you can develop in Python and connect to InterSystems IRIS® data platform with PyODBC and the Native API: 

⏯ Using Python to Connect to InterSystems IRIS

I tried to convert IRIS globals to pandas  dataframe.

I can do it as follows if there are no Japanese included in globals,

USER>zw ^ISJ2
^ISJ2=4
^ISJ2(1)=$lb("Name","Age","Address")
^ISJ2(2)=$lb("Sato","50","Tokyo")
^ISJ2(3)=$lb("Kato","40","Osaka")
^ISJ2(4)=$lb("Ito","30","Kyoto")
 
USER>do $system.Python.Shell()
 
Python 3.9.5 (default, Jan 31 2022, 17:55:36) [MSC v.1927 64 bit (AMD64)] on win32
Type quit() or Ctrl-D to exit this shell.
>>> mysql = "select name,value from %library.global_get('user','^ISJ2',,2,2)"
>>> resultset = iris.sql.exec(mysql)
>>> dataframe = resultset.

When looking at the "Current License Usage Summary" web page, there is a line for both local and distributed "Maximum Connections". I have scrutinized every class that seems reasonable to contain this information but have found nothing that matches the values on the web page. I do not believe these are related to license specifically though I did review all of the potential attributes of the license related classes to no avail.

I am writing a Python tools I want to access the %Monitor.System.License properties:

1. AvailableDist
2. AvailableLocal
3. MaxUsedDist
4. MaxUsedLocal
5. CurrentUsedDist
6. CurrentUsedLocal

Initially I want to develop Objectscript to verify access to the properties. But I can not figure the proper syntax.

I first attempted:

set ans = ##class(%Monitor.System.License).AvailableDist

which failed.

I tried another approach:

set ans = ##CLASS(%Monitor.System.License).%GetParameter("AvailableLocal")

which also failed. There is open method so it appears access options are limited.

Hi Community,

This post is a introduction of my openexchange iris-globals-graphDB application.
In this article I will demonstrate how to save and retrieve Graph Data into InterSystems Globals with the help of Python Flask Web Framework and PYVIS Interactive network visualizations Library

Recommendation

• Read related documentations Using Globals
• Introduction to the Native SDK
• PYVIS Interactive network visualizations Liabrary

Step1 : Establish Connection with IRIS Globals by using python native SDK

 #create and establish connection
  if not self.iris_connection:
         self.

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")

That failed stating 'UserListAll' did not exist. Though this did not seem to be correct, I also attempted:

<query>.prepare_class("%SYSTEM.

I have developed a process that pulls data elements from a cache instance using the tools provided with the "intersys.pythonbind3" import. This is a windows box. After validating the process, the next step is to install the process on a site (Windows) that does not have an installed version of cache and access the cache instance remotely. But, since intersys.pythonbind3 is part of the cache install, I am not sure what to do  to allow this process to function because of the missing import.

Hi Community,

We're pleased to invite you to the upcoming webinar in Spanish called "Exploring the new Embedded Python feature of InterSystems IRIS"

Date & Time: March 30, 4:00 PM CEST

Speaker: @Eduardo Anglada, Sales Engineer, InterSystems Iberia

I am in the process of creating a python report writer that includes the information contained in "License Usage" page of the management portal. I think I have a handle on the local values contained in the report using the %SYSTEM.

I have a python script that is pulling the cache instance key expiration date ( KeyExpirationDate() ) which comes back as an integer. With the queryscript function - $ZDATE(73284) I can derive the actual expiration date. Is there a manner or method of creating an equivalent Python script that will convert the integer return by the KeyExpirationDate()  method into a date string?

I am writing a Python tool to query our cache instances for various information. I have set up the connection without issue:

import intersys.pythonbind3 as pyb  

conn     = pyb.connection()
conn.connect_now(.....)
    
db      = pyb.database(conn)
qry     = pyb.query(db)
obj     = pyb.object(db)

I wanted to make the call:

execRes = qry.prepare_class("SYS.Database",'FreeSpace')

But fetching fails because of data mismatches ( as I understand from other posts) and my testing bears out this type of failure.

Instead I opted to attempt a query:

execRes =

Hi Community,

Let's meet together at the online meetup with the winners of the InterSystems Python contest!

You'll have an opportunity to have a discussion with InterSystems Product Managers on the new IRIS 2021.2 Embedded Python functionality, Q&A on Python, etc. Our winners' demo included!  

Date & Time: Thursday, March 3 – 10:00 EDT

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:

When executing "List" from SYS.Database there is an error for every datarow fetched.
When executing "FreeSpace" from SYS.

Hey Developers,

It's time to announce the winners of the InterSystems Python contest! Are you ready?

A storm of applause goes to these developers and their applications:

Hey Community,

We greatly appreciate all your feedback on the InterSystems Python programming contest. Please take a few questions to help us improve our contests.

👉 Quick survey: InterSystems Python Contest Survey  

With the latest improvements in support for Python in IRIS, and continued work on Python DB-API support by InterSystems. I've implemented IRIS support to the Django project where is Python DB-API is used to work with some other databases.

Let's try a simple application on Django, which stores its data in IRIS.

We are happy to share interesting information with you, as well as tell you why Python is good, where it is used.

Among the most used libraries are NumPy and Pandas. NumPy (Numerical Python) is used to sort large datasets. It simplifies mathematical operations and their vectorization on arrays. Pandas offers two data structures: Series (a list of elements) and Data Frames (a table with multiple columns). This library converts data into a Data Frame, allowing you to remove and add new columns, as well as perform various operations.

Voting time! 

Let's cast your votes for the best applications in the InterSystems Python Contest:

🔥 Vote for your favorites 🔥

How to vote? Details below.

Hey Developers,

We are pleased to invite you all to the next InterSystems online programming contest focused on Python! 

🏆 InterSystems Python Contest 🏆

Duration: February 7 - 27, 2022

In prizes: $10K - more prizes included!

Hi contestants!

Here are the results of the bonus collections the applications of the Python Contest accomplished.

Here are the projects that scored it:

Hi Community,

This post is a introduction of my openexchange iris-python-apps application. Build by using Embedded Python and Python Flask Web Framework. 
Application also demonstrates some of the Python functionalities like Data Science, Data Plotting, Data Visualization and QR Code generation.

 Features

•  Responsive bootstrap IRIS Dashboard

•  View dashboard details along with interoperability events log and messages.

•  Use of Python plotting from IRIS

•  Use of Jupyter Notebook

•  Introduction to Data Science, Data Plotting and Data Visualization.

•  QR Code generator from python.

Hey Developers, 

In this video, you will learn how to use VS Code with Python: 

⏯ Using VS Code with Python

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