Article
· Dec 9, 2017 1m read
Simple Game Code(21 sticks Game) 
sample
    w "Total No.Of Sticks:21"_!
    s sticks=21
    r "enter machine name: ",a
    r "enter dev name: ",b
    w "Display 1 to 21 sticks"_!
    s i=""
    f i=1:1:21{
        w " "_i_" "
    }
user(sticks)
    w !_"User select 1 or 2 or 3 or 4 sticks:"_!
    r "User enter sticks: ",us
    if us>4 {
        w "please select upto 4 Sticks"
        r "User enter sticks: ",us
    }
    s cnt=sticks-us
    s sticks=cnt
    f i=1:1:sticks {
        w " "_i_" "
    }
    s dev=1
    s machine=0
    d:sticks=0 lost(dev,machine)
    d machine(.sticks,us)
    q
machine(sticks,us)
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Article
· Jan 24, 2022 2m read
GlobalToJSON-Efficient

I have created a package that offers a utility to load a Global into JSON object and reverse
to create a Global from this type of JSON object. Efficient refers to the structure created.
Only Globals nodes containing data are presented in the generated JSON object.

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Article
· Feb 2, 2021 12m read
A custom SQL index with Python features

Image search like Google's is a nice feature that wonder me - as almost anything related to image processing.

A few months ago, InterSystems released a preview for Python Embedded. As Python has a lot of libs for deal with image processing, I decided to start my own attemptive to play with a sort of image search - a much more modest version in deed :-)

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QEWD is assumed by most people to only integrate with IRIS (or Cache) via a connection through IRIS's high-performance C interface. This requires QEWD (and its Node.js environment) to be installed and configured on the same machine as IRIS.

I'm frequently asked if QEWD can run on a separate server (or servers), and access IRIS (or Cache) over a network connection. The answer is yes it can, but the information on how to set it up in this way has been admittedly a bit tricky to discover.

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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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Article
· Jul 30, 2022 5m read
Introduction to Django part 3

Continuing to observe the possibilities of Django, and usage with IRIS. The first we have looked how to define models and connect to tables already existing in IRIS, than we extended embedded Django Administration portal, with an ability to see what data we have in that models, with filters, editing and even pagination.

Time to go to real action, now we a going to create some REST API, on Django, based on the same data, we used before from the package posts-and-tags.

To do so, we will use Django REST Framework

Django REST Framework

Django REST framework is a powerful and flexible toolkit for building Web APIs.

Some reasons you might want to use REST framework:

  • The Web browsable API is a huge usability win for your developers.
  • Authentication policies including packages for OAuth1a and OAuth2.
  • Serialization that supports both ORM and non-ORM data sources.
  • Customizable all the way down - just use regular function-based views if you don't need the more powerful features.
  • Extensive documentation, and great community support.
  • Used and trusted by internationally recognised companies including Mozilla, Red Hat, Heroku, and Eventbrite.

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I am demonstrating a use case of how we can create an IRIS Interoperability Production for special use in an external language. InterSystems IRIS, within Interoperability has a framework called Production Extension (PEX), using which we can create productions and program them as per their purpose using external languages like Java, Python etc, and also develop custom inbound and outbound adapters to communicate with other applications.

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For the upcoming Python contest, I would like to make a small demo, on how to create a simple REST application using Python, which will use IRIS as a database. Using this tools

  • FastAPI framework, high performance, easy to learn, fast to code, ready for production
  • SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL
  • Alembic is a lightweight database migration tool for usage with the SQLAlchemy Database Toolkit for Python.
  • Uvicorn is an ASGI web server implementation for Python.

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Presenter: Gerd Nachtsheim
Task: Contribute to and influence open-source communities
Approach: Discuss how the joint efforts of people within and outside of InterSystems created our Hibernate driver and contributed to the Hibernate project

Description: The development of our latest Hibernate driver was a joint effort of multiple groups of people within and outside of InterSystems with different roles that was ultimately contributed to the Hibernate project. Come to this session to learn more about how open-source communities think and how you can leverage and contribute.

Problem: Everyone else appears to be doing open-source contributions, but it doesn’t fit into our company.

Solution: If you find an open source project that is interesting for you or your customers, contribute to that project and make it a better one that is also easier to use within your landscape.

Content related to this session, including slides, video and additional learning content can be found here.

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Article
· Sep 26, 2023 1m read
Create JSON Objects and Arrays by SQL

The related package avoids adding %JSONAdaptor to each class but uses instead
SQL functions JSON_OBJECT() to create my JSON objects. With this approach, you can
add JSON to any class - even deployed ones - without any need for change or recompiling.

The trigger was the Export of M:N relationships as JSON objects or arrays.

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Introduction

Application integration at its simplest is often just one application sending a message to another to notify it of some change. Perhaps when a patient arrives at a hospital, the registration system will send a message to clinical systems so they have all demographic data ready to use. Of perhaps it is just a nightly file transfer from the sales system to the accounting system.

But modern application integration platforms or suites can do a lot more than this to help applications work together and add real value to the enterprise.

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Article
· May 27, 2016 1m read
2016.3 Field Test Kit 2016.3.0.628.0

Steve Glassman is on vacation today so in his place I wanted to announce the availability of a new kit for the 2016.3 Field Test. The kit details are: 2016.3.0.628.0

Most of the changes are related to DeepSee, DocDB data models and dynamic objects. You can find a complete listing here:

https://wrc.intersystems.com/wrc/WRC.StreamServer.cls?FILE=/wrc/FieldTes...

Bill McCormick

Director of Product Management

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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...

The challenge of day 16 is about generating random data using a modified version of a dragon curve (you can find more info on fractal curves like Dragon here : https://en.wikipedia.org/wiki/Dragon_curve).

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The class %Compiler.UDL.TextServices arrived in 2015.1, bringing us methods for exporting a class in UDL format (i.e. looking just like we're used to seeing it in Studio), and importing a UDL format definition back into a namespace. Some source control tools including our Deltanji are now able to use UDL format, resulting in diffs that are easier to understand.

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It's almost time to get your customers upgraded to new versions - are you worried about showing off your SQL Performance after upgrades? If you want to upgrade without worrying, then I have just the program for you!!! Check out this video from Global Summit 2016 featuring yours truly explaining how to upgrade a system without worrying about pesky SQL queries showing on your waistline!

https://www.youtube.com/watch?v=GfFPYfIoR_g

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Hi Developers, I'm currently doing a demo about building a front end UI doing data analytics and setup a performance test with large data objects, therefore using "Populate Utility" could help me auto generate some sample data that I can play with.

Within this post I would like to share my experience of using Populate Utility, including using POPSPEC Parameter.

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Article
· Sep 28, 2015 1m read
DTL TechFAQ

Ensemble is based on message flow, and a data transformation is a way to convert from one message type to another. DTL (Data Transformation Language) adds a layer to this - it provides a graphical way to do the conversion. This is really helpful because most of the time, people with domain-specific knowledge may not have extensive coding skills. However, you always have the ability to do some coding, so if you need or want to, this is available.

DTL has several components: the data transformation engine, the language itself, and the DTL editor.

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In this article, we'd like to describe Med.me's incubation experience and takeaways, the cross-organizational booking problem, and our approach to solving it.

This exciting story started during one of the regular medtech meetups, where I met @Evgeny Shvarov, senior InterSystems chief of the Developer Community. Following the good old startup rule “pitch wherever you can”, I briefly explained to Evgeny Med.me concept – EHR exchange and appointment scheduling platform to automate and simplify communication between clinics, pharma on one hand and insurance companies, doctors, and patients on the other.

Evgeny listened carefully and replied that InterSystems provides plenty of products to solve the interoperability problems amongst the vast variety of EMRs and kindly advised me to hurry up to apply to the FHIR incubator Caelestinus powered by InterSystems.

That led to a start of an amazing 9-months long road where we were able to ramp up our understanding of interoperability, participate at the InterSystems Global Summit, find new customers and partners, and where the new concept of Resource Availability Exchange was born.

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Previously I have already tried to play with Google Data Studio when I connected it to InterSystems FHIRaaS. It has quite a nice UI, with a few chart types available out of the box, it can be quite easily connected to some plain tables (stored as CSV or JSON, for instance), and gives the ability to build quite flexible analytics over it. So, I have decided to implement a new connector to InterSystems Analytics (DeepSee), with the ability to select a cube and do some queries on it.

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