Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace
I think it's a known fact that Populate Utility has very limited functionality. It supports only one language and one country. The list of possible values does not have so many options.
There is a kind of tool that now can help with it, named Faker. It has implementations in different languages, including Python. Since IRIS has now had the Embedded Python feature, Python faker can be implemented in IRIS.
This is a demo to make use of a simple WebSocket Client with Embedded Python in IRIS.
To continue my series of WebSocket Client I have added an example written in Python.
The most impressive experience was how easy the writing and testing of the client was
which happened total offline from IRIS.
Embedding, running and feeding the client with data from IRIS was also incredibly simple.
In the previous articles, we learned the basics of using IMAP protocol to handle messages from mailboxes in an e-mail server. That was cool and interesting, but you could take advantage of implementations created by other ones, available in libraries ready to use.
After >40 years writing in-countable lines of code in M*/COS/ISOS (and a bunch of archaic languages) I decided for myself to set a strong signal for the future. We have Embedded Python available (still pre-release)! I just felt it as a sacrilege to ignore this excellent NEW opportunity and stay with the old sermon that I had used for decades.
At the recent virtual conference I saw the demonstration on being able to run Python within ObjectScript and run ObjectScript within Python thanks to a feature called Language Bridge. Is this available now? If so, am I able to install it? I am currently running HealthShare 2020.1. I have a little bit of experience using Irisnative with Python but was intrigued with the more seamless-looking features offered by the Language Bridge.
I have just created a new Global Master Topic, "IRIS Cheatsheets". IRIS has introduced a lot of new functionality, especially in scripting languages, FHIR R4 support, enhanced Interoperability Tools, and IRIS Analytics. Having spent 35 years working on Windows-based PC's and Laptops, I have surprisingly little knowledge of Linux, Docker and Git. Furthermore, I have written almost every application and Interface in ObjectScript with splatterings of SQL, .Net, and Java Gateways and the most basic knowledge of WinSCP, Putty, SSH. All that changed when I received my first Raspberry Pi.
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Continuing the description of work on the use of the openhl python module in productive mode.
Since the version of iris with Embedded Python, does not yet have a final release, it is already necessary to use it in production now. We decided to back up the service for exporting requests to a xlsx file on a separate server, and save the query result in a global in a separate database.
In addition, we invite all EAP participants to the special Embedded Python kick-off webinar tomorrow, July 6 at 10:00 AM EDT – an easy start on how to use Embedded Python! Demonstration of the new features of the data platform, examples applications, and of course rewards.
After you become an EAP member, you will receive a special link to join the kick-off webinar:
For a long time, we have been using a utility in production to export the result of a query to an Excel spreadsheet. Moreover, we have applied a modification of it, in which the explicit setting of column formats is a priority.
We’re looking for Python developers to participate in our Embedded Python Early Access Program! If you (or someone you know) are a Python developer and are interested, please contact us via the email address below.