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#Contest

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Contest tag unites posts that are related to any coding competition taking place on InterSystems Developer Community.

Unlike the movie mentioned in the image (for those who don't know, Matrix, 1999), the choice between Dynamic SQL and Embedded SQL is not a choice between truth and fantasy, but it is still a decision to be made. Below, I will try to make your choice easier.

If your need is interactions between the client and the application (and consequently the database), Dynamic SQL may be more appropriate, as it "adapts" very easily to these query changes. However, this dynamism has a cost: with each new query, it is remodeled, which can have a higher cost to execute. Below is a simple example of a Python code snippet.

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After so many years of waiting, we finally got an official driver available on Pypi

Additionally, found JDBC driver finally available on Maven already for 3 months, and .Net driver on Nuget more than a month.

As an author of so many implementations of IRIS support for various Python libraries, I wanted to check it. Implementation of DB-API means that it should be replaceable and at least functions defined in the standard. The only difference should be in SQL.

And the beauty of using already existing libraries, that they already implemented other databases by using DB-API standard, and these libraries already expect how driver should work.

I decided to test InterSystems official driver by implementing its support in SQLAlchemy-iris library.

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Artificial Intelligence (AI) is getting a lot of attention lately because it can change many areas of our lives. Better computer power and more data have helped AI do amazing things, like improving medical tests and making self-driving cars. AI can also help businesses make better decisions and work more efficiently, which is why it's becoming more popular and widely used. How can one integrate the OpenAI API calls into an existing IRIS Interoperability application?

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Introduction

As AI-driven automation becomes an essential part of modern information systems, integrating AI capabilities into existing platforms should be seamless and efficient. The IRIS Agent project showcases how generative AI can work effortlessly with InterSystems IRIS, leveraging its powerful interoperability framework—without the need to learn Python or build separate AI workflows from scratch.

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The last days I've work with the great new feature: LOAD DATA With this post I would like to share my first experiences with you. The following points do not contain any order or other evaluation. These are only things that I noticed when using the LOAD DATA command. It should also be noted that these points are based on the IRIS Version 2021.2.0.617 which is a preview release. So it may be that my observations do not apply to newer IRIS versions.

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Article
· Jan 13, 2022 4m read
How to find the dataset you need?

Hey community! How are you doing?

I hope to find everyone well, and a happy 2022 to all of you!

Over the years, I've been working on a lot of different projects, and I've been able to find a lot of interesting data.

But, most of the time, the dataset that I used to work with was the customer data. When I started to join the contest in the past couple of years, I began to look for specific web datasets.

I've curated a few data by myself, but I was thinking, "This dataset is enough to help others?"

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The pandemic that struck the world in 2020 made everyone follow the news and the numbers that involve the COVID-19.

Why don’t you take that opportunity to create something simple and pleasant, to follow the number of vaccinations worldwide?

To face this challenge, I'm using the data provided by Our World in Data - Research and data to make progress against the world’s largest problems.

They have a dedicated repository on Github with the data of COVID-19, and I took the vaccination data to help me with my tracker.

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Currently, the process of using machine learning is difficult and requires excessive consumption of data scientist services. AutoML technology was created to assist organizations in reducing this complexity and the dependence on specialized ML personnel.

AutoML allows the user to point to a data set, select the subject of interest (feature) and set the variables that affect the subject (labels). From there, the user informs the model name and then creates his predictive or data classification model based on machine learning.

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Let's imagine if you would like to write some real web application, for instance, some simple clone of medium.com. Such sort of application can be written using any different language on the backend side, or with any framework on the frontend side. So many ways to do the same application, and you can look at this project. Which offers a bunch of frontends and backends realizations for exactly the same application. And you can easily mix them, any chosen frontend should work with any backend.

Let me introduce the same application realization for InterSystems IRIS on a backend side.

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This is a series of programming challenges for beginners and experienced Caché programmers.

For an introduction : go to article https://community.intersystems.com/post/advent-code-2016-day1-no-time-ta...

Today's challenge is about decompressing input that is compressed in an experimental format.
In the format, markers indicate how much time a number of characters need to be repeated.

For example :

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Prefer not to read? Check out the demo video I created:

https://www.youtube.com/embed/-OwOAHC5b3s
[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]

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Article
· Feb 6, 2023 2m read
Introducing DX Jetpack for VS Code

Strap on this jetpack to boost your developer experience in Visual Studio Code.

DX Jetpack for VS Code was my entry for the 2023 Developer Tools Contest, where it achieved 2nd place in the Experts vote and 5th place in the Community vote. It is an extension pack for VS Code, bundling three entirely new extensions created by me, plus a couple that we at George James Software published previously.

The new extensions are:

If you're reluctant to install DX Jetpack right away, why not try it using a dev container? In the dev container is an InterSystems IRIS Community environment augmented with InterSystems Package Manager (IPM) and the isc-codetidy package.

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Article
· Feb 7, 2023 9m read
OpenAPI Suite - Part 2

Hi Community,

In the first part, we describe all packages, used libraries and REST services.

Now, I would like to add some details about converter and validator services.

By default, OpenAPI-Suite sends an HTTP request to converter.swagger.io if the specification version is less than 3.0 and another HTTP request to validator.swagger.io to simplify the structure of the specification document.

Although the usage of online utilities is convenient, in some cases it could be better to have our own instance of the converter and validator. For example, if OpenAPI-Suite is provided on a server in an organisation for ObjectScript developers, it may be preferable to avoid requests to external services (privacy, avoid request rate limits).

Just run: 

docker run -d -p 8085:8080 --name swagger-converter swaggerapi/swagger-converter:latest
docker run -d -p 8086:8080 --name swagger-validator-v2 swaggerapi/swagger-validator-v2:latest

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Article
· Dec 13, 2024 5m read
SharePoint/ SPO API with intersystems

As part of the Open Exchange competition Salford Royal (Dean White and Mark O'Reilly) developed a REST API for sharepoint as a template that works but can also be a starting point to your own Rest Applications

Prerequisites

This is using the v1 REST sharepoint API you need a tennant id, client id, client secret and tennant name

Setup

Configure an OAuth server

The code in the middle is the tennant ID

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