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How to use python and wix for web development [duplicate]

I'm trying to integrate backend code into a Wix site. Im not too picky about how I want to do this, or what language to write in (ideally, I have a locally-hosted Java code that I'd love to simply call). I wouldn't mind re-writing it in JavaScript though, or another language. But before I decide that I'm confused about my options. I can code but I'm new to the concepts like modules, APIs, & servers.
According to my research, back-end code with Wix is supposed to be easy (or at least do-able and not THAT complicated)....
From this webpage https://support.wix.com/en/article/corvid-calling-server-side-code-from-the-front-end-with-web-modules,
"Web modules are exclusive to Corvid and enable you to write functions that run server-side in the backend, and easily call them in your client-side code. With web modules you can import functions from backend into files or scripts in public, knowing they will run server-side. Corvid handles all the client-server communication required to enable this access."
And from this: https://www.sitepoint.com/what-is-wix-code/
"It’s serverless: All this added functionality comes in a serverless environment that lets you get your work done without any of the normal full-stack development headaches.
Just code and go: Wix Code has a built-in, online IDE and backend so you can just add the code you need to your page or your site, publish, and you’re live."
So, I thought they have a backend IDE where I can write backend code directly, or I could call my Java program. But, as I tried doing this and finding tutorials, it seems I can really only do this by calling a public API from the backend...?
https://youtu.be/tuu0D1izrUU
But ive also read (and someone who supposedly has done it before told me this) that Wix integrates with node.js, which is a backend version of JavaScript.
Can I use a Wix domain for a NodeJS app?
But, when I go into my Wix site I cannot find any option for using Node JS, and doing research on that gives me no useful results.
So, I'm thoroughly confused on what the capabilities are here. Can someone help me make sense of this?
Why are there no tutorials showing explicit code in the Corvid backend module? What's stopping me from simply writing my Java program there in a module? Do I really need an API endpoint to call and pass to the front end?
Is Node JS supported or not - has anyone done this before?
Also, in one link above they said everything is "serverless". But if I have to set up my own API endpoint won't I need to set up my own server??

There are basically two ways to go about this, which you seem to have already discovered.
Write your backend code in your Wix site. Indeed, the backend is built on Node.js as you can see here. Using this approach you will have to use JavaScript. As you seem to have found, you write this code in the Backend section of your site in a Web Module. Pros: you don't need to worry about managing a server and all your code is in one place.
Expose your already existing Java code as an API that your Wix site can call using the wix-fetch API. Pros: you don't need to rewrite your code.

How to deploy or share your python program to friends

I wanted to share my python program to my friends but the problem is they will have to install python first then all the libraries which I used in order to run my program and it might be hard to do so as I have used too many libraries like 15-20 something.
MY Questions:-
Q1. How can I share my python program without making them install so much stuff?
Q2. Is there any other language on which it could be done?
Thank you.
Regards

Google Colab
You can write your python program in Google Colab and then share the notebook with others to run.
It's free to use and your dependencies can be imported or installed based on the information from this stackoverflow post.
Streamlit
Streamlit allows you to build custom web apps using python that are shareable. It's marketed use is for data science and machine learning python projects. You should check their website to see if it satisfies your specific needs.

repl.it
On the website repl.it you can create public Python projects which can even include PyPI dependencies. The user can then run and edit them, for example here: https://replit.com/#TedTaras/Monster-Hunter. Projects are public by default, private ones cost extra.

Need advice on how to incorporate Python into an Azure, specifically an ASP.NET web application environment

Need advice on how to incorporate Python into an Azure ASP.NET web application environment. Please excuse this question but I am new to Azure and I'm not clear on how to proceed. Every option that I look into looks promising but they all seem to have their own issues. Below is a more thorough explanation but the deal is that I have an Azure account with all kinds of goodies, a full fledged ASP.NET (C#) web app running via App Service, I am new to Azure (but not Python), and I'm hoping to add Python functionality to this whole setup. In short:
I want to add Python to this setup mainly to run scheduled jobs and also to trigger Python code from ASP.NET web form submissions
ideally I want a solution that resembles a non-cloud setup. I know this sounds silly but I'm finding the cloud/Azure functionality to be nuanced and not straightforward. I want a place to put a bunch of Python scripts, run, edit, schedule and trigger them from ASP.NET
for example: I created a WebJob that runs manually and from the documentation it wasn't clear how it should be called. I just figured out that you need to POST with Basic Auth (and the credentials provided).
!Also, Azure CMD does NOT like files with 'underscore _' in them! You cannot submit a Web Job with a py file with an underscore nor can you write output with a file with an underscore
!Also, I don't see an option for this Web Job to run Python 3.6.4 (which I installed via extension). Right now it is using 2.7.15...
!Also, CRON expression in Azure has six *, not five plus a command. Again, more weird stuff to worry about
I tried these instructions but the updates to the web page's Web.config file breaks the ASP.NET web pages
ideally the most cost effective option
Any info is greatly appreciated
MORE DETAILED EXPLANATION
Currently I have an ASP.NET site running via Azure App Service and I would like to add Python scripts and possibly Flask/Rest functionality. Note that I am not expecting to serve any content via Python and will largely be running Python scripts either on a scheduled basis or call them from ASP.NET. As a matter of fact, and this is an important point, I'm hoping to have ASP.NET trigger/run a Python script when a web form is submitted. I realize that I could get a similar effect if I make a web call to a Rest api that is running Python. In any event, I can't tell if I should:
add a Python extension to the current App Service running the web page (I tried this) OR
I did install Python 3.6.4 and some packages via pip
These instructions were useful, however the updates to the web page's Web.config file breaks the ASP.NET web pages
set up a VM that will have all of the Python code (but how can I have the .NET web page(s) call the Python in the VM?) OR
use Azure functions (I'm completely new to this and must admit that I prefer to have my old school Python environment instead although I see the benefit of using functions. But how do you deal with logging and debugging?)
or what about a custom windows container (Docker)?
This requires installing VS Code and that is OK but I'm looking for a solution that another user can get into with as few interruptions as possible
The idea is to ramp up the use of Python although, like I said, I don't expect Python to be serving any of the web content. It will be used to run in the background and to run scheduled jobs. What is the most robust and hopefully easiest way to add Python functionality to Azure (most importantly in a way to be able to trigger/use Python from an App Service running .NET?)? I've searched online and stack overflow so far with interesting finds but nothing to my liking.
For example, the following link discusses how to schedule WebJobs. I just created a manual one and when I called the webhook I got the message: "No route registered for '/api/triggeredwebjobs/TestPython/run'" How to schedule python web jobs on azure
The Docker method looks very promising, however, I'm looking for a simple solution as there is another person who will be involved in all of this and he's busy with other projects
Thank you very much!

I found a solution, though I'm open to more info. Like I mentioned in my post, I used the 'add extension' tool to add Python 3.6.4 to my Azure (installed in D:\home\python364x64).
Then I installed a bunch of packages via pip, these installed into D:\home\python364x64\Lib\site-packages.
I created a Python folder in webpages\Python where I put my scripts.
Finally, in ASP.NET I used the Diagnostics.Process call to run my code in ~\webpages\Python\somecode_2.py
The main issue is that Azure came with Python 2.7.15 installed. And for some reason when my Python code got executed it was using 3.4 (where that version came from beats me). So for each script, I had to create an _2.py version where I simply did the following in order to call the original script via Python 3.6.4. Looks a little nasty but it works. So like I said, I would welcome more info for ways to do this better...
--
import os<br>
os.system("D:\\home\python364x64\python.exe SomePython.py {0}".format(add arguments here)

localhost server in compiled Python program

Background:
I am still new to Python so apologies if this is a naive question. I was originally looking to develop a tool for Windows with a GUI, however, reading around I get the impression that it may be simpler to have my compiled python code somehow 'wrapped' in simpleHTTPServer so users can interact via localhost (much like Jupyter notebook/labs).
Question:
Is there a standard/recommended way to have a compiled python program interface with the user via a localhost port in their web browser? I assume this is a fairly common approach and that a package may already even exist but I've not been able to find anything that gives guidance on how to tackle it.
Alternatively, is is feasible to somehow compile a Django development project to run on localhost?
Ideally, I want an executable file that users can run and their browser opens up at the localhost port required.

If you wish to quickly make a GUI based Python tool, you should consider using Django, a very straightforward framework for WebApps. It is very quick to learn and implement, and you shall very easily be able to integrate highly advanced functionalities too into your tool with ease.
When it comes to distribution of code, you can convert the entire Django App into a windows exe file for ease of distribution and use. There are many python packages that allow you to port python to windows executable files. I would recommend using PyInstaller. You may find this link useful: Recipe Executable From Django.
Alternatively, as someone suggested, you may use Docker, but that would be heavier in terms of space utilized, and will require the user to install the same.
Hope this helps!

Is it good idea to store python package eggs in artifactory?

Currently I am developing automated test framework. This test-framework has different packages. These packages will be refer in different project and these may be modified locally by the developer. I want to manage the python package eggs. I am thinking of using Artifactory. I tried to look for Artifactory help for Python,But I couldn't get anything useful.
should I use Artifactory or PIP ?
Edit:
Is there any way or command in python which can help me to put the eggs in artifactory?

There are numerous reasons to prefer a binary repository manager over a simple shared directory/SCM binary storage:
Fine grained security.
Ability to proxy and cache remote repositories.
More efficient handling of binaries (because it's a tool that's tailored to do so).
Sharing the binaries with other teams and the world is a lot safer and easier.
Integration with many tools in the ecosystem.
Search and manipulation facilities.
Administration tools.
Artifactory exposes a very rich REST API and the deployment of any artifact can be achieved by a simple HTTP PUT request.

Take a look at the Defend Against Fruit project. It provides the previously missing glue between Python and Artifactory.
http://teamfruit.github.io/defend_against_fruit/

You can use "in house" PyPi (either with easy_install -f ... or pip -f ...).
For a server you can have just Apache serving a directory with all the eggs or something like http://pypi.python.org/pypi/pypiserver