Hi, Community!

Since this article is an overview of Flask Login, let's begin with Flask Introduction!

What is Flask?

In the realm of web development, Python has emerged as a formidable force, offering its versatility and robustness to create dynamic and scalable applications. For that reason, tools and services compatible with this language are in demand these days. Flask is a lightweight and easy-to-use web framework for Python. It stands out as a lightweight and user-friendly option. Its simplicity and flexibility have made it a popular choice for developers, particularly for creating smaller-scale applications. It is based on the Werkzeug toolkit and provides a simple but powerful API for building web applications.
Unlike its full-stack counterparts, Flask provides a core set of features, focusing on URL routing, template rendering, and request handling. This minimalist approach makes Flask lightweight and easy to learn, allowing developers to build web applications quickly and without the burden of unnecessary complexity.

Hello, good morning;

I would like to invite you all to try this game, it is a visual novel, it has not been made by me, and I have not any relation with the creator at all. It is free and playable with the web browser directly. It has English and Spanish as languages which you can play with.

https://lauralaureus.itch.io/asteria

Following one package from the last contest I met a strange problem.
There was the requirement to install jupyter-notebook
I work on Windows and there was some old Python installed
No big surprise: Installation of jupyter-notebook failed
Therefore, the latest version of Python was installed fast.

Creating your own commands or shortcut is one of the strongest features of ObjectScript
If you create your own Language Extensions to ObjectScript you mostly have to find the
proper %ZLANGC00 or %ZLANGV00 or %ZLANGF00 and add the extensions manually.

A few utilities do it already automatically (ZPM, ZME, ..)
This utility allows you to add your extensions also programmatically.

I decided to write this down before time wiped out my memory
It's a very personal story as a partner, as a competitor, as an employee,
as a customer and finally as an external observer of InterSystems.

​Keywords: ChatGPT, COS, Lookup Table, IRIS, AI

Purpose

Here is another quick note before we move on to GPT-4 assisted automation journey. Below are some "little" helps ChatGPT had already been offering, here and there, during daily works.

And what could be the perceived gaps, risks and traps to LLMs assisted automation, if you happen to explore this path too. I'd also love to hear anyone's use cases and experiences on this front too.

This tutorial is a follow on to Working with %Query
It was displaying the content of the input stream chopped in fixed-size chunks.
But often those streams are structured and have well-defined separators (e.g HL7)
So as a side subject of this tutorial, this chapter shows how to break a stream into PIECES.

It is exactly the same idea as the $PIECE() function for strings with some add-ons.

My previous article introduced you to SQL based Basic Class Query
where a clever wizard created all the required code for you and your essential
contribution was an SQL statement.

Now we enter the real Custom Class Query that provides more freedom but
requires a deeper understanding of the mechanic behind the scene.
The full code example is again on GitHub

Hi developers!

You are experts in IRIS and know all tricks. The functionality of $ZF(-1,-2,-100, ......)
is nothing new to you And you know the limits of this functionality.
Both give you access to your local server command line environment. And that's it.

Seeing results in SMP or Terminal

If you run the suggested queries from Terminal in SQL shell you see:

Some technical background information

There is not just one class in this package: rcc.gstream.cls but also rcc.gstreamT.cls

While rcc.gstream works with direct access to the stream globals, the *T version uses
a Process Private Global (PPG) as Temporary storage.
using SELECT * FROM RCC.gstreamT WHERE RCC.useT('^jpgS')=1 and similar.

Overview

Predictable storage IO performance with low latency is vital to provide scalability and reliability for your applications. This set of benchmarks is to inform users of IRIS considering deploying applications in AWS about EBS gp3 volume performance.

Summary

• An LVM stripe can increase IOPS and throughput beyond single EBS volume performance limits.
• An LVM stripe lowers read latency.

Hi Folks,

Before I begin my writing journey here I wish to introduce myself briefly, so that everyone who reads and follows me will get a clear picture.

To start with I did my Bachelors in Physical Sciences, Mathematics and Computer Science were my core subjects. I have 4+ years of experience in HealthCare Revenue Cycle operations including Medical Coding, Billing, AR Collections, Denial Management and Fincial Reconciliation. Also, 2+ years of experience in Data Operations and Analytics, specifically in Python, PowerBI, SQL and MsExcel.

Before we start with some intermediate and advanced topics, I would like to sum up some more general points. They are subjective, of course, so I will be happy to discuss them if you have other opinion or better arguments for any of them.

The list is not comprehensive and this is intended, cause I will cover some topics in future articles.