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.

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 Community,

This post is a introduction of my open exchange iris-climate-change application.

iris-climate-change web application Imports The Food and Agriculture Organization (FAO) Climate Change dataset by using LOAD DATA (SQL) functionality and analyze and visualize data with the help of Python Flask Web Framework, Pandas Python data analysis Library, Plotly Open Source Graphing Library for Python and Plotly JavaScript Open Source Graphing Library.

My major interest is Working with Globals in Embedded Python.
So I checked the available official documentation.

#1 Introduction to Globals
an attempt of a generic description of what a global is. Pointing to

It is very interesting to compare different BI technologies. It is curious to me what the differences are in functionality, development tools, speed and usability.

One of the crucial business dimensions is the dimension “Where”. It is necessary to know where a customer was born or where he lives. Where will the order be delivered? Where have there been more sales, and where can we sell more? Where are our stores located? From Where is the customer accessing our e-commerce? These and other principal questions use the “Where” dimension. Today the best service to provide geographic accuracy and quality for these data is Google Maps.

Introduction

This article aims to give an introduction to what gRPC is and an example of how to play with the official Hello World using IRIS Embedded Python.

You can find all the code exposed here, in this project repo.

Programmatic Production Access

To Programmatically Edit Productions (interfaces) you can use a combination of the interoperability apis and SQL queries.

Current Namespace

At a high level, it is important to know the namespace and production you are working in at the moment.

Motivation

This project was thought of when I was thinking of how to let Python code deal naturally with the scalable storage and efficient retrieving mechanism given by IRIS globals, through Embedded Python.

My initial idea was to create a kind of Python dictionary implementation using globals, but soon I realized that I should deal with object abstraction first.

So, I started creating some Python classes that could wrap Python objects, storing and retrieving their data in globals, i.e., serializing and deserializing Python objects in IRIS globals.

This example demonstrates the difference you may experience when you write to
Gllobals directly from Embedded Python compared to native ObjectScript.

To make this demo useful I start 2 background jobs that simply write sequentially
to a dedicated global. A common control method signals for a synchronous start.
Similar a common stop & view interrupts data feeding.

That's the principle process:

It sounds strange though it's embarrassing.

I have a class with ClassMethods written in ISOS and Embedded Python.

The ClassMethods written in ISOS start in the Background as usual. No problems

But my

Hello all,

I've seen that to install any python library we just need to call this:

C:\InterSystems\IRIS\bin>irispip install --target C:\InterSystems\IRIS\mgr\python geopy

Is there a way to install the libraries in a different directory and set up the system to load the python from that other directory?

In my article I described the work using iris.gref .
As the official documetation is rather slim on the subject it was necessary to dig into it.
Using the power of Python I was able to detect what I needed but was hidden.
I decided to share this with you. pydoc did the magic.

Hi, Community,

This post will demonstrate how to display data on the web by using Embedded Python , Python Flask Web Framework and Jquery datatable

We will display processes from %SYS.ProcessQuery table.