Hi community, I used website-analyzer - an app that uses InterSystems NLP and Crawler4J to extract all website content and do NLP on it. I limited to 200 pages and discovered this:
Top 10 Concepts - business and content topics in the InterSystems site:
Other frequency concepts, see the focus in the iris speed, scale and data value:
The ObjectScript language of InterSystems IRIS has a very powerful metadata engine called XData. This feature allows the creation of metadata definitions for your classes, to be used by the compiler or by programs that will extend the standard features of the language, based on the XData definitions of its scope.
Embedded python gives the option to load and run python code in the InterSystems IRIS server. You can either use library modules from Python pip, like numpy, pandas, etc, or you can write your own python modules in the form of standalone py files.
So once you are happy with the development phase of the IRIS Embedded Python solution there is another very important question of how the solution could be deployed.
One of the options you can consider is using the ZPM Package manager which is described in this article.
Sometimes you when create a pivot in Analyzer and see the result that shouldn't exist - don't run to create a WRC ticket, try to call the IRIS BI reset function first:
In this article, I am trying to identify the multiple areas to develop the features we can able to do using python and machine learning.
Each hospital is every moment trying to improve its quality of service and efficiency using technology and services.
The healthcare sector is one of the very big and vast areas of service options available and python is one of the best technology for doing machine learning.
In every hospital, humans will come with some feelings, if this feeling will understand using technology is make a chance to provide better service.
If you want to know more about a new project or generate a new way to see your project, the better way is using mindmaps or markdown documentation. The IRIS Connections allows to you generate the mindmap for your classes and get your classes documentation in a markdown file.
Welcome dear members of the Community to the presentation and first article of a small project that will demonstrate the capabilities of InterSystems IRIS to provide full backup functionality for a web application developed in Angular. This article will be limited to presenting the concept as well as the InterSystems IRIS functionalities used in a general way, going into more detail in subsequent articles.
IRIS has the likes of SQL inbound adapters for use with SQL gateways such as EnsLib.SQL.InboundAdapter to repeatedly query SQL Gateway connections. A scenario appeared as that we wanted to query an Internal database for some data but did not see an out of the box service for this.
Desired Approach
Have a Generic service that can poll internal SQL to work with downstream components.
When you create an Ensemble production your namespace acquires a new class definition. For example here is what the class that defines the Demo.Loan.BankUSProduction production in the ENSDEMO namespace looks like when opened in Studio:
Presenter: Kyle Baxter Task: Upgrade to a new version of Caché without concerns about slowing existing SQL queries Approach: Use the new Frozen Plans feature in Caché
Content related to this session, including slides, video and additional learning content can be found here.
NewBie's Corner Session 28 Various Methods to Traverse a Global
Welcome to NewBie's Corner, a weekly or biweekly post covering basic Caché Material.
Judging from the number of responses to Session 27 Traversing A Global, developers are passionate about their methods. I am not here to judge the merit of the various methods.
Over the next few pages I will demonstrate a number of methods to Traverse a Global. If you don't already have a favorite they may help you pick one.
The DeepSee TroubleShooting Guide helps you track down and fix problems occurring in your DeepSee project. A common problem is finding less records than expected in a DeepSee Cube or a related Subject Area. The DeepSee TroubleShooting Guide suggests starting your investigation by checking the following:
Hello again and welcome to the next tutorial on this series: Part 4 - Sharing data across router methods. Here we are going to learn how to share a object containing data that is available for read across every router methods.
You're required to complete at least the Part 1 before entering this one. Still, this is supposed to be a really short tutorial, since there isn't much to be said about data sharing.
this is a public announcement for the first release of Intersystems Cache Object-Relational Mapper in Python 3. Project's main repository is located at Github (healiseu/IntersystemsCacheORM).
About the project
CacheORM module is an enhanced OOP porting of Intersystems Cache-Python binding. There are three classes implemented:
The intersys.pythonbind package is a Python C extension that provides Python application with transparent connectivity to the objects stored in the Caché database.
I just want to share with you the knowledge aka experience which could save you a few hours someday.
If you are building REST API with IRIS which contains more than 1 level of "/", e.g. '/patients/all' don't forget to add parameter 'recurse=1' into your deployment script in %Installer, otherwise all the second and higher entries won't work. And all the entries of level=1 will work.
/patients
- will work, but
/patients/all
- won't.
Here is an example of CSPApplicatoin section which fix the issue and which you may want to use in your %Installer class:
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.
In the past, technical documentation of the source code and software products was generated in chm, pdf files and documentation generators of the programming languages themselves. This old approach had the following limitations: 1. Outdated documentation; 2. Non-interactive and difficult to consult documentation; 3. Layout unresponsive, unfriendly and not adherent to HTML; 4. Inability to customize the layout of the documentation; 5. Inability to have HTML 5 documentation online and offline. 6. Lack of Markdown support.
The latest release of Serenji focuses on the debug experience. Not only can you now debug on the spot, no matter where you are or what you're doing, but we've also added some smaller features that will make debugging more straightforward.
Run and Debug CodeLenses - clickable links above each class method, procedure, subroutine or extrinsic function.
Intuitive prompting for entrypoints and arguments - when debugging a class method, produce, subroutine or extrinsic function.
Shaded read-only background - to clearly differentiate between documents which are editable and those that are read-only.
Program output in debug console - output is shown in the debug console.
Serenji commands on Server Manager's namespace trees - allowing you to launch Serenji through Server Manager.
Hello everyone.
I present this project to the contest. The export module is essential in many of my projects and is often used in all my product servers.
The Carbon Footprint Counter application uses the GHG Protocol to measure carbon emissions on enterprises. The GHG protocol establishes comprehensive global standardized frameworks to measure and manage greenhouse gas (GHG) emissions from private and public sector operations, value chains and mitigation actions.
I want to share with you mi first Open Exchange application.
It's a tool to made our developments easier. It's a micro service in a IRIS docker that help us in our new features giving us a way to add short links in our SMS, Email campaigns and for links of the different stores for our apps.
A recent question from @Vivian Lee reminded me of a rather ancient example. It was the time when DeepSee's first version was released. We got Bitmap Index. And we got BitSlice Index: mapping a numeric value by its binary parts. So my idea: Why not indexing strings by their characters? The result of this idea was presented first in June 2008. IKnow wasn't publicly available at that time.
It sometimes happens that due to an adverse event the AUDIT database (IRISAUDIT)has grown to such proportions that the disk it resides on is full and the daily purge cannot be expected to reclaim disk space.