Advent of Code is a series of 25 small programming challenges, it's an ideal way for beginners to start learning a computer language, and for advanced people to sharpen their programming skills.
There are small and bigger puzzles, which you can solve typically in half an hour to a few hours. (Looking at the leaderboard, the top aces can do them in less than 10 minutes.)
We have more exciting news! The new InterSystems online programming contest dedicated to Generative AI, Vector Search and Machine Learning is starting very soon!
Last weekend we held the Final of InterSystems Contest on InterSystems Caché and DeepSee as a part of IT Planet Student Championship in Sochi. BTW, this year we had about 2 000 participants in InterSystems Contest.
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.
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.
This post is a introduction of my open exchange iris-fhir-client application.
iris-fhir-client can connect to any open FHIR Server by using embedded python with the help of fhirpy Library. Get Resource information by terminal and by using CSP web application.
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.
Hi all, I try to build a little project for the dataset contest, you can find it here on github: Openflights dataset My plan is to use just plain SQL. So I've made a few experiments with the new feature LOAD DATA.
Submit an application that helps to develop faster, contributes more qualitative code, and helps in testing, deployment, support, or monitoring of your solution with InterSystems IRIS.
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Open Exchange app
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