Hi Community,

In this article I will explain how to display management portal dashboard by using Python Flask web and Boostrap framework with the help of embedded python
 

Python has become the most used programming language in the world (source: https://www.tiobe.com/tiobe-index/) and SQL continues to lead the way as a database language. Wouldn't it be great for Python and SQL to work together to deliver new functionality that SQL alone cannot? After all, Python has more than 380,000 published libraries (source: https://pypi.org/) with very interesting capabilities to extend your SQL queries within Python.

What is Web Scraping:

In simple terms, Web scraping, web harvesting, or web data extraction is an automated process of collecting large data(unstructured) from websites. The user can extract all the data on particular sites or the specific data as per the requirement. The data collected can be stored in a structured format for further analysis.

Date and Time is an important factors in our life. Because all applications are engaging based on Date/Time. But our world is split into multiple time zones. if our product is launched in the world, to maintain the history of events we are definitely required to convert all times to our local time or UTC ( Coordinated Universal Time ). As I know, many known programming languages of C#, JavaScript, Java, etc., provided the library to convert the date and time. i.e with a time zone name we can be able to convert without knowing the UTC offset.

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.

Hi developers! In this article I’m going to explore the use of Iris Python Native API in a specific problem: large strings to store.

InterSystems Native SDK for Python is a lightweight interface to InterSystems IRIS APIs that were once available only through ObjectScript.

I'm especially interested in the ability to call ObjectScript methods, class methods, to be precise. It works, and it works great, but by default, calls only support scalar arguments: strings, booleans, integers, and floats.

But if you want to:
- Pass or return structures, such as dicts or lists
- Pass or return streams

You'll need to write some glue code or take this project (installs with pip install edpy). edpy package gives you one simple signature:

call(iris, class_name, method_name, args)

which allows you to call any ObjectScript method and get results back.

Hi Community, 

We are glad to announce that Developer Community in French is now connected to Global Masters, which means members of DC FR will automatically get points & badges for their contributions.

Hi! Today I would like to talk about one of the most important architectural patterns in Angular.

The pattern itself is not related to Angular directly, but as Angular is component-driven framework, this pattern is one of the most essential for building modern Angular applications.

Container-Presentation pattern

It is believed that good components should be small, focused, independent, testable and most important - reusable.

Hi Developers!

We are introducing a new feature on Dev Community site – Key Questions by InterSystems Developers.

We've added a new special #Key Question tag to highlight questions related to InterSystems Data Platforms considered as having the biggest impact.

Each month InterSystems Experts will choose such questions, and those authors will be awarded with all the honours!

What honours? Details in this post! 

Hello guys!

The Global Summit 2022 in Seattle ended just over a week ago but keynotes are already available for those who missed them while being on the premises or who couldn't attend this in-person event at all for some reason or another (or just for those who wish to refresh their memory and listen to them again).

Without further ado, the beginning of the Global Summit AKA the Greetings from the Community:

Enjoy watching all the keynotes from all three days of Global Summit 2022 via this YouTube playlist: 

Continuing to  observe the possibilities of Django, and usage with IRIS. The first we have looked how to define models and connect to tables already existing in IRIS, than we extended embedded Django Administration portal, with an ability to see what data we have in that models, with filters, editing and even pagination.

Time to go to real action, now we a going to create some REST API, on Django, based on the same data, we used before from the package posts-and-tags.

To do so, we will use Django REST Framework

Django REST framework is a powerful and flexible toolkit for building Web APIs.

Some reasons you might want to use REST framework:

• The Web browsable API is a huge usability win for your developers.
• Authentication policies including packages for OAuth1a and OAuth2.
• Serialization that supports both ORM and non-ORM data sources.
• Customizable all the way down - just use regular function-based views if you don't need the more powerful features.
• Extensive documentation, and great community support.
• Used and trusted by internationally recognised companies including Mozilla, Red Hat, Heroku, and Eventbrite.

Hi community,

This is the third article in the series about initializing IRIS instances with Docker. This time, we will focus on Enterprise Cache Protocol (ECP).

In a very simplified way, ECP allows configuring some IRIS instances as application servers and others as data servers. Detailed technical information can be found in the official documentation.

This article aims to describe: