Laurel James · Apr 20, 2021 3m read
Why gj :: locate?

You may think it isn’t too difficult to get from label+offset^routine to the actual source line responsible for the error.  For an expert it isn't that hard... most of the time.  But there are enough oddities and special rules that even an expert can get it wrong, whilst spending a lot of time trying to get there.

gj :: locate is the latest tool from George James Software – it debugs any error, class or routine by converting the location of an error in compiled .int code to the corresponding location in your source, and then taking you right there.

Image this scenario…

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Good day, developers!

The "apptools-admin" project is not only a set of tools for the administrator, but a platform for the rapid creation of a prototype of any solution.
For example, Photo Album, Music Player, and Personal Library all come together in a user-friendly treasure chest design.

Load http:// your-host:your-port/apptoolsrest/a/infochest

Change the path to your treasure files and start viewing, listening or reading from any convenient device: desktop, tablet or smartphone.

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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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Hi guys!

I'd like to present you my new project: iris-analytics-notebook, a notebook approach to use IRIS analytics capabilities.

Project description

In past few years, notebooks tools like Jupyter are gaining popularity due its natural way to express ideias.

An almost unipresent tool for data scientists, notebook can also help to improve the impact of analytics tools for all sort of users.

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Web Crawling is a technique used to extract root and related content (HTML, Videos, Images, etc.) from websites to your local disk. This is allows you apply NLP to analyze the content and get important insights. This article detail how to do web crawling and NLP.

To do web crawling you can choose a tool in Java or Python. In my case I'm using Crawler4J. (

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Let's imagine if you would like to write some real web application, for instance, some simple clone of 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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Oliver Wilms · Oct 5, 2020 2m read
File Passthrough Feeder

IRIS Interoperability Productions formerly known as Ensemble are fun to work with. Yes, I really think my work is fun. I have seen File Passthrough Services and File Passthrough Operations come in handy. At one point we placed test messages in files, then we utilized a File Passthrough Service with Inbound File Adapter to send the contents of the file as a Stream to a File Passthrough Operation with Outbound TCP Adapter.

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In the past, reading information from a bar code was limited to a simple alphanumeric code. The creation of a bar code with more than one dimension (2D), especially the QR Code, allowed to increase the amount and variety of data stored in a bar code. While conventional bar codes are capable of storing a maximum of approximately 20 digits, the QR Code is capable of handling several tens to hundreds of times more information. This revolutionized the markets. Now QR codes are everywhere and can be very useful for storing textual, numeric, alphanumeric and even binary data.

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Robert Cemper · Jul 20, 2020 1m read

This is a follow-up to my previous article WebSocket Client JS with IRIS Native API as Docker Micro Server

Installation is now much simpler as all pieces are now assembled in a single Docker image.
That makes life easier. But of course, the principle of the Micro Service is not so obvious anymore.
An All-in-1 bundled package. Therefore compact.

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A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

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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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This is a coding example working on IRIS 2020.2 
It will not be kept in synch with new versions 
It is also NOT serviced by InterSystems Support !

My demo video is now also available to watch the demo in operation.


Hi folks,
It's time now for a Micro Service Demo with a total fresh IRIS Image and an image that you both PULL with
docker  and run with only 4 lines of docker commands. 
June 1st, 2020 - rcc

There is now a compact All-in-1 version available that combines all parts in a single container image.
For details see: IRIS-NativeAPI-Nodejs-compact
May 24, 2020 - rcc

I have added a simplified installation using Docker, see context
May 25, 2020 - rcc

There are enhanced scripts suitable & tested for Linux & Windows available here
May 26, 2020 - rcc

This demo is a redesign of the WebSocket Client based on Node.js existing already for Caché. The major changes:

  • use of the new IRIS Native API for Node.js  especially Working with Global Arrays
  • change from a directly triggered client to a server design
  • put the result into a separate docker image as an example for a MicroService / MicroServer
  • add a simple interface in IRIS to control the MicroService execution.

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These Competition Terms (the "Terms") apply to competitions and contests sponsored by InterSystems and its affiliates including coding contests relating to InterSystems products and technologies (each a "Contest"). Please read these Terms and all applicable Rules (defined below) carefully as they form a binding legal agreement between you and InterSystems Corporation (“InterSystems”), with principal office located at:

InterSystems Corporation
1 Memorial Drive Cambridge

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Stuart Byrne · Mar 2, 2019 6m read
Belated - Advent of Code 2018 Day 1

I know it's late, but I really love the advent of code theme each year to find some project ideas to go out and code something and push myself.

I had the intentions of completing the AOC 2018 before the new year, but I've got 2 young kids (1yo and 4yo), so most nights I just want to sleep.

I've been looking at this on my half hourly commute each day before and after work.

So whilst doing this, I found not many people had posted what they had done and in previous years.

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

For an introduction : go to article

The challenge of day 21 is about scrambling passwords.

There are a few functions you need to implement that will do operations on a string :

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