I received some really excellent feedback from a community member on my submission to the Python 2024 contest. I hope its okay if I repost it here:

For a long time I have wanted to learn the Django framework, but another more pressing project has always taken priority. Like many developers, I use python when it comes to machine learning, but when I first learned web programming PHP was still enjoying primacy, and so when it was time for me to pick up a new complicated framework for creating web applications to publish my machine learning work, I still turned to PHP.

Hi all,

Some days ago, I've seen a youtuber talking about how to create a neural network (sorry, is in spanish)

https://www.youtube.com/embed/iX_on3VxZzk
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Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

• Step1: Install required libraries

• Step2: Create patterns and responses file

• Step3: Train the Model

• Step4: Create ChatBot Application based on the trained model

So Let us start.

When registering the components: I used this command:
"Utils.migrate("/external/src/CoreModel/Python/settings.py)" ;
The error appears: "An error has occurred: iris.cls: error finding class",
I changed with these two lines:
result = subprocess.run(["iop", "-m", "/external/src/CoreModel/Python/settings.py"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=True)
subprocess.run(["iop", "-m", "/external/src/CoreModel/Python/settings.py"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, check=True)

I have been using embedded python for more than 2 years now on a daily basis.
May be it's time to share some feedback about this journey.

Why write this feedback? Because, I guess, I'm like most of the people here, an ObjectScript developer, and I think that the community would benefit from this feedback and could better understand the pros & cons of chosing embedded python for developing stuff in IRIS. And also avoid some pitfalls.

• Feedback : Using embedded python daily for 2 years
• Introduction
• Starting with Python
  • Python is not ObjectScript
    • Pep8
    • Modules
    • Dunders
  • Conclusion
• Embedded Python
  • What is Embedded Python ?
  • How to use Embedded Python ?
  • How I use Embedded Python
    • Use Python libraries and code as they were ObjectScript classes
      • With the language tag
      • Without the language tag
      • Conclusion
    • Use a python first approach
      • Example : iris-fhir-python-strategy
      • Remarks
      • Where to find the code
      • How to implement a Strategy
      • Implementation of InteractionsStrategy
      • Implementation of Interactions
      • Interactions in Python
      • Implementation of the abstract python class
      • Too long, do a summary

Context

The Web Server Gateway Interface (WSGI) is a simple calling convention for web servers to forward requests to web applications or frameworks written in the Python programming language. WSGI is a Python standard described in detail in PEP 3333.

🤔 Ok, great definition and what the point with iris ?

Collision Theory Confirmed

Hello everyone,

Recently, I've been working on a Business Process that processes a large JSON FHIR message containing up to 50k requests in an array within the JSON.

Currently, the code imports the JSON as a dynamic object from the original message stream, obtains an iterator from it, and processes each request one at a time in a loop.

Pandas is not just a popular software library. It is a cornerstone in the Python data analysis landscape. Renowned for its simplicity and power, it offers a variety of data structures and functions that are instrumental in transforming the complexity of data preparation and analysis into a more manageable form. It is particularly relevant in such specialized environments as ObjectScript for Key Performance Indicators (KPIs) and reporting, especially within the framework of the InterSystems IRIS platform, a leading data management and analysis solution.

Hi,

In my Iris Installation I cannot use python. When I try to install external libraries I get no OPENSSL_Applink:

$ pwd
/cygdrive/c/InterSystems/IRIS2/bin
$ ./irispip install --target ../Mgr/python/ pandas
OPENSSL_Uplink(00007FFBEC2F7068,08): no OPENSSL_Applink

I get the same error when I try to install a wheel file:

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.

TL;DR

This article introduces using the langchain framework supported by IRIS for implementing a Q&A chatbot, focusing on Retrieval Augmented Generation (RAG). It explores how IRIS Vector Search within langchain-iris facilitates storage, retrieval, and semantic search of data, enabling precise and up-to-date responses to user queries. Through seamless integration and processes like indexing and retrieval/generation, RAG applications powered by IRIS enable the capabilities of GenAI systems for InterSystems developers.

Hello,

I would like you to propose this challenge.

It has been created by the CodeWars community here: https://www.codewars.com/kata/6523a71df7666800170a1954/python

I will copy and paste the description:

🔡🟢 DESCRIPTION:

A number is Esthetic if, in any base from base2 up to base10, the absolute difference between every pair of its adjacent digits is constantly equal to 1.