How to run this Github python project on local machine? - python

Recently found this python project on Github:https://github.com/dAPTaset/dAPTaset
Wanted to run it on local machine and play around with it but not sure what framework or platform it would run on. No notes found on the initial setup and wanted to be able to run this. Any hints or pointers on what platform/framework/solution to use would help.

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I want to make something like Replit that is built to deploy and run Python online.
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Is there any ways to possibly do that?
Thanks,
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I did not try anything but i expect for a python virtual machine which runs code and sends the result

How do I create a standalone Jupyter Lab server using Pyinstaller or similar?

I would like to create a self-contained, .exe file that launches a JupyterLab server as an IDE on a physical server which doesn't have Python installed itself.
The idea is to deploy it as part of an ETL workflow tool, so that it can be used to view notebooks that will contain the ETL steps in a relatively easily digestible format (the notebooks will be used as pipelines via papermill and scrapbook - not really relevant here).
While I can use Pyinstaller to bundle JupyterLab as a package, there isn't a way to launch it on the Pythonless server (that I can see), and I can't figure out a way to do it using Python code alone.
Is it possible to package JupyterLab this way so that I can run the .exe on the server and then connect to 127.0.0.1:8888 on the server to view a notebook?
I have tried using the link below as a starting point, but I think I'm missing something as no server seems to start using this code alone, and I'm not sure how I would execute this via a tornado server etc.:
https://gist.github.com/bollwyvl/bd56b58ba0a078534272043327c52bd1
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How to create/ test client side python applications in cloud 9 IDE

I have been getting into programming and I would love it if my friends and I could program python (Client Side as in I could run it on my computer offline(Saying it is an offline application)) in cloud 9 IDE (If you don't know you can work real time with your team in the IDE). The problem is it will run it as if I am using it as a web language. Also DJANGO just gets in the way.
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You need not install Django on Cloud9. You've got the option to install a blank container. From there you can pip install anything like. Write your .py file and then python run myfile.py -- Link to Cloud9 Docs
While not as slick as Cloud9 Python Anywhere which is more focussed on Python Apps.

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By your comment:
I want the script to stay a python script if at all possible so that
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It appears you want some way to host a python program online.
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To know how to write Python that serves a website (see Django, Flask, CherryPy, etc...)
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the more I read the worse it gets... I am starting out with Python and I cannot make my
mind up on how to set up my dev environment. I want to use Python and Django to build web applications.
Ideally, I'd love to use and IDE on Win7 (which would help with tooltips and help about methods, classes, etc) and have the web app run on a virtual linux machine (need apache+mysql). I have downloaded the turnkey linux appliance for Django and it seems to work fine.
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This is the setup for my current php project at work and I think it works perfectly.
Please clarify if people normally code and run their web apps all on one machine only or not.
Thank you!
I don't know how it can be unclear to you "if people here are recommending to edit my code on the same machine where the app runs". The easy answer is no, no way, never, ever. There can be no ambiguity about that.
Edit Ah, apologies for the misunderstanding - you clarify in the comments that you're not talking about your production environment. In that case, yes it is a perfectly good idea - even preferable - to edit on the same machine as your development app is running. There's no reason not to, and it makes life a whole lot easier.
Note you shouldn't really use Apache in development: it requires a lot of configuration, and doesn't automatically reload after code changes without even more configuration. Use the development server. And in case you were concerned, all of this runs perfectly well on a Windows machine.
I agree with the comment. Personally, I use Aptana Studio (http://www.aptana.com/) alongside GIT to have local version control (integrates well into Aptana). From there on, it is easy to either deploy locally or push the changes to a remote GIT repo.

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