#InterSystems IRIS

Why I decided to write this

Recently I had the challenge to create a secure authentication method to authorize access to some data, but unfortunately I had zero experience with those security configurations and I felt that I was missing some basic concepts to have a better understanding of the official documentation.

After studying and managing to deliver the classes that I was asked to develop, I'd like to share a little bit of my new knowledge, which helped me follow the topics in the documentation.

Welcome, dear members of the community!

In this article we are going to demonstrate the great potential that IRIS/HealthConnect makes available to all its users with the use of Embedded Python and we are going to do it by developing a small production that will allow us to recognize and identify the faces present in a JPG file from some images that we will use as a reference.

The titular question was quite relevant and often discussed some thirty years ago. The thought went: “Sure, there are industries where computers are the norm, but in my industry we got just fine so far, the benefits are questionable, problems innumerable and unsolved. Can we continue as before or should we embrace this new technology?”

Today, everyone asks the same question but about Machine Learning and Artificial Intelligence. The doubts are the same – lack of expertise, lack of known path, perceived irrelevancy to the industry.

Yet, as before, the correct, even the only possible answer is a resounding yes. Read on to find out why.

Intro

If you ever wondered how to debug some requests that are being made to or from IRIS, well here is a little tutorial on how to do that.

During a complex project, usually you get the specifications and implement the communication between IRIS and other things based on that. But from the paper to the real world there's usually a huge gap and you need to know why you are receiving an error on a parameter, on a header, you are not receiving the data and so on.

Hi Community,

Imagine enabling your application to read text to your customer? This is now possible with the new IRIS feature, Embedded Python. With this new functionality IRIS can natively run any open source or commercial Python libraries natively. gTTS (https://pypi.org/project/gTTS/) is a free library that transforms text into audio using the Google Translate service.

I hope you already know one of my projects Cache Blocks Explorer. I've recently renamed it to Blocks Explorer.

For the recent contest, I've added a new feature, the ability to generate a static picture of any Cache or IRIS database. Like below. Where unique globals have a unique color. This is how looks like inside 9.5GB database. Where 1 pixel represents one block. By link on image you will get even bigger image, with more detalization.

Introduction

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.

It's possible to enable Ctrl+C / Ctrl+V in IRIS Terminal for Windows.

To do that, open Terminal and select Edit > User Settings and enable Windows edit accelerators. This setting specifies whether the Terminal enables the common Windows edit shortcuts (Ctrl+C, Ctrl+V, Ctrl+Shift+V), in addition to the basic Terminal edit shortcuts (Ctrl+Insert and Shift+Insert).

After that Ctrl+C / Ctrl+V would work.

Also <SYNTAX> errors after incorrect copy/paste go away.

Docs.

In today's digital age, effective data management and accurate information analysis are becoming essential for successful enterprise operations. InterSystems IRIS Data Platform offers two critical tools, ARCHITECT and ANALYZER, developed to deliver convenient data management.

Hi Community,

to learn quickly and in total autonomy on IRIS, I offer you some links which can help you in this beautiful bicycle ride rich in discoveries:

InterSystems FAQ rubric

You can avoid the error by specifying a stream object as the argument of %ToJSON() used when generating a JSON string from a dynamic object.

A code example is below.

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.

InterSystems FAQ rubric

Class definitions created by users are stored in class definition classes. They can be used to obtain a list of class definitions from a program.

Note: Class definition classes refer to all classes contained in the %Dictionary package.

Hi developers! In this article I’m going to explore the use of Iris Python Native API in a specific problem: large strings to store.