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.)

Advent of Code is created by Eric Wastl, you can find all info on https://adventofcode.com/.

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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.
https://youtu.be/dSV-0RJ5Olg

 

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
https://github.com/rcemper/WSockClientMicroSV/blob/master/READMEwindows.MD
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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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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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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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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Article
Robert Cemper · Jul 20, 2020 1m read
IRIS-NativeAPI-Nodejs-compact

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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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. (https://github.com/yasserg/crawler4j).

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

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

The input in today's challenge consists of an encrypted name, a dash, a sectorID, a dash and a checksum between brackets.
A name is real if the checksum is equal to the five most common letters in the encypted name.

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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 series of programming challenges for beginners and experienced Caché programmers.

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

The challenge of day 5 is to calculate a password of 8 characters by finding the MD5 hash of the input and an increasing integer index.
The password is constructed by taking the 6th character of the first 8 hashes that start with 5 zeroes (in hex representation).

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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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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 a variation on the White Elephant gift exchange (https://en.wikipedia.org/wiki/White_elephant_gift_exchange), in this case, by a bunch of Elves where only one can have all gifts.

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

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

In this challenge, you need to find a password using instructions to move on a keypad.
Instructions can be U(p), D(own), L(eft) and R(ight).

You start at button 5 on a keypad like

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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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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 today is about some basic cryptography : you will have to generate data for a one-time pad (OTP) (see https://en.wikipedia.org/wiki/One-time_pad for more info).

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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...

In today's challenge, you have to execute instructions that control how bots are handling microchips.

The input contain instructions that can be something like this :

 

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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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