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

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

https://www.youtube.com/embed/xnymoOjjDlY
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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.

Hi Community,

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.

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.License class I have those defined using these methods:

Current License Units Used - -> LUConsumed

Maximum License Units Used --> LUMaxConsumed

License Units Enforced --> KeyEnforcedUnits

License Units Authorized --> KeyLicenseUnits

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.

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:

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

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.

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 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.

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

Hi Community,

We are pleased to invite all the developers to the upcoming InterSystems Python Contest Kick-off Webinar! The topic of this webinar is dedicated to the Python contest.

In this webinar, we’ll present two templates to start working with Embedded Python :

1. What is Embedded Python and Jupyter;
2. Embedded Python with Interoperability (PEX hacked to use Embedded Python).

As always, our experts will answer the questions on how to develop, build, and deploy Python solutions using InterSystems IRIS.

Date & Time: Monday, February 7 – 12:00 PM EDT

Speakers:
🗣 @Guillaume Rongier, InterSystems Sales Engineer
🗣 @Bob Kuszewski, InterSystems Product Manager
🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager

https://www.youtube.com/embed/cYyvZCkx7xU
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