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
This is the second post on the resources for Developers. This part is about Open Exchange
Using Open Exchange to Learn InterSystems
InterSystems Open Exchange is a applications gallery of tools, connectors, and libraries which InterSystems Developers submit to share the experience, approaches and do business. All the applications are either built with InterSystems data platforms or are intended to use for development with InterSystems data platforms.
If you are a beginner developer you can take a look at applications in Technology Example category. All the applications in this category come with open source code repositories, so you are able to run the samples and examples in a docker container with IRIS on your laptop or in the cloud IRIS sandbox. Examples:
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.
I am using Windows 10 and I cannot find an installation source for the irisnative python library. I tried to install the wheel file provided by intersystems on github (https://github.com/intersystems/quickstarts-python/).
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.
DNA Similarity and Classification was developed as a REST API utilizing InterSystems Vector Search technology to investigate genetic similarities and efficiently classify DNA sequences. This is an application that utilizes artificial intelligence techniques, such as machine learning, enhanced by vector search capabilities, to classify genetic families and identify known similar DNAs from an unknown input DNA.
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.
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.
Principle: After dividing the article uploaded by the user into sentences using Python, the embedded value is obtained and stored in the Iris database. Then, the similarity between sentences is compared through Iris vector search, and finally displayed on the front-end page.
Join us at the upcoming Developer Roundtable on April 25th at 9 am ET | 3 pm CET. 📍 We will have 2 topics covered by the invited experts and open discussion as always.
Tech Talks: ➡ Practical Usage of Embedded Python - by Stefan Wittmann Product Manager, InterSystems
▶ Recording:
https://www.youtube.com/embed/a6VH4Hg5TmI [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]
BPL stands for Business Process Language. This is an XML format for describing complex information orchestration interactions between systems. InterSystems Integration engine has for two decades, provided a visual designer to build, configure, and maintain, BPL using a graphical interface. Think of it like drawing a process flow diagram that can be compiled and deployed.
With the advent of Embedded Python, a myriad of use cases are now possible from within IRIS directly using Python libraries for more complex operations. One such operation is the use of natural language processing tools such as textual similarity comparison.
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.
After running many tests to kick the tires calling Python from COS (which worked fine) in any directory, I encountered problems when trying to access Python libraries like Numpy from any OTHER namespace. I saw some other posts about this but the resolution seems unclear. When I run the test program method numpytest below in %SYS it works just fine. If i run the Python method in any other namespace I get:
PITT>do ##class(test.python).numpytest() DO ##CLASS(test.python).numpytest() ^ <OBJECT DISPATCH> *python object not found
Using VECTOR_COSINE() in SQL query to perform a text similarity search on existing embeddings in a %VECTOR column.
Code is below.
Commented out sql query returns this error: SQLCODE: -29 Field 'NEW_EMBEDDING_STR' not found in the applicable tables^ SELECT TOP ? maxID , activity , outcome FROMMain .AITest ORDER BY VECTOR_COSINE ( new_embedding_str ,
Sql query as written returns ERROR #5002: ObjectScript error: <PYTHON EXCEPTION> *<class 'OSError'>: isc_stdout_write: PyArg_ParseTuple failed!
$ZF(-100) to run python script not work when directly execute in studio or in storedproc called by TrakCare, but can work when do in iris session.
The python script imports a "barcode" package. It seems that when directly execute in studio or in storedproc called by TrakCare, the package can not be imported.
Not so long ago, I came across the idea of using Python Class Definition Syntax to create IRIS classes on the InterSystems Ideas Portal. It caught my attention since integrating as many syntaxes as possible gives visibility to InterSystems’s products for programmers with experience in many languages.