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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.

Is there a way for two People to work on one Jupyter Notebook

A friend of mine and me are doing some field research for our Physics degree. And we are using jupyter notebook to analyse the data we get. We usually sit together working at two different copies of the same file that in the end will be drag and dropped together using jupyter lab. This is obviously not ideal, so i thought is there any way for just two people to work on one document in Jupyter, sadly Google Colab has been Deprecated and CoCalc is expensive. So i thought id ask here if there is a way to make one person run a Jupyter notebook and the other one just being able to access it over peer to peer aswell so we could write in the same file at the same time.
Do you guys know something that makes me do this maybe a workaround that i can do.
Thanks for answers in advance

CoCalc is expensive.
Fortunately, we also provide a complete free easy to install open source version of CoCalc, which you can run on any computer that supports Docker. For example, here's how to run it on Google cloud.
(I have put too many years of my life into making realtiime collaboration work for Jupyter via CoCalc... In any case, the open source code has been battle tested in production for a while now and is working well finally. I hope it can solve your problem...)

You can upload your notebook to Deepnote. It provides a hosted environment, where you and your colleague can connect at the same time and work on the same notebook in real-time (the same way you'd do in Google Docs).
Colab is also good, but writing at the same time will result in conflicts.

Notebook itself doesn't support to collaborate simultaneously, but you can use GitHub to manage your python script and upload it into Colab separately. This way Github can help manage the file history and solve the conflicts.

JupyterLab 3.1.0a7 introduced real time collaboration.
There is a screencast showing it in action.
Key thing to note is the new top-level menu item called Share, to the right of Settings & Help.
You can click on launch binder here or here to try it now.
"Once you see the JupyterLab interface, there's a new top-level menu item called "Share"; click that, grab and share that URL, and you're done!"-SOURCE: Step #5 here
There's a gist here that seems to be updated regularly with how to activate the feature.
There's a detailed walk-through here if you want to add the ability into your own repositories that can launch via MyBinder.org. Although if that repo falls behind the gist, you'll probably want to consult the gist for the current best practices once you have the idea from the detailed walk-through.
Closely related question with an answer by #krassowski, is here. You may want to look there for some additional details.

While you can use github for this it can get messy, many people clear output cells when committing to git to avoid conflict issues. Which would defeat the object of your review work.
You should try Curvenote (which we're building for that reason) it doesn't offer compute as its a collaborative writing tool, works on top of Jupyter via a chrome extenson and gives you real time versioning, commenting and diffs.

Google Colab has been Deprecated and CoCalc is expensive
Noteable.io is 100% free for all users including storage, compute, RAM. For your purposes, it will be ideal as you will get Google Drive like collaboration (commenting, #mentioning, Annotating data points), versioning, sharing, interactive visualizations, choice of using Python and SQL in the same notebook and a ton of other features.
Here are good example notebooks on Noteable:
Climate Change: An analysis of Dew Point for the city of Toronto
Healthcare Sector Employee Attrition Exploratory Data Analysis
Exploratory Data Analysis Using SQL and Python - Online Retailer Orders

Python to Automate Fusion 360 with COM

I've searched everywhere for a solution to this problem but I haven't found it yet.
I know that Autodesk Inventor can be automated with Python using win32com package by:
win32com.client.Dispatch("Inventor.Application")
However I can't find the "prodID" that is needed to use this package with Fusion 360 and no documentation for automation ever being done this way with this package.
I need to be able to control a range of other processes so it would be ideal if I could use Python to launch Fusion 360 and perform operations without having to load the script within the application itself. Any help would be appreciated.

The Fusion 360 API is not a COM API so it's not possible to use win32com to drive it. To use the API, your program must be either an add-in or script running from within Fusion 360.

How to constantly run Google Colaboratory at a specific time every day?

I recently have built a Python program that runs on Google Colaboratory that retrieves the data from a site. Since I wanted to create a graph based on data of one month, I want to retrieve the data every day. Is there any way to run this on Google Colab, because my friend would like to fix the code at some time too? If not, is there a way to perform this on Windows 10?
Thank you in advance.

This has changed now that I created colabctl.
You can use colabctl to run your Google Colaboratory notebooks from the CLI, on a schedule if you wish. Simply add colabctl.py to a cron job.
Note: If you want to run it on a headless server, you will first need to run it once from your desktop to save your login cookie to the pickle file and then upload that pickle to your server along with colabctl.

Colab doesn't support this currently.
For Windows 10, I think you're looking for the Task Scheduler.

What do I need to successfully run a website in my browser that executes Python scripts?

I currently simply have a local website on my Mac. I can view the webpage's HTMl and CSS and run the javascript functions in browser on my computer, but the next step I want to take is incorporating python scripts for accessing a MySQL database and returning results.
I am clearly new to this, and would love some guidance. Right now, on my computer, I have MySQL installed and I can run it in the terminal just fine. What else do I need as far as database and server equipment – if anything – to get some dynamic website running locally? My current, albeit incredibly limited, understanding is that I have a MySQL database stored on my machine that can be accessed through a Python script – also on my machine – and a link to this script in the HTML file. Is this even right, or do you recommend certain tutorials to fill in the gaps or teach me from the ground up?
I am sorry I am asking a lot; the few tutorials I have found have seemed to cover what I am hoping to do. Many thanks in advance.

Here you go. https://docs.djangoproject.com/en/1.4/intro/install/
Just follow the installation guide, and you'll be up and running in no time.

If you have MySQL installed on your machine along with Python, get a version of MySQLDb library for Python and have fun with it. Moreover, you can do almost any data operation with these combinations. If you want your website to go live (and do not wish to go through web frameworks) just look for a hosting plan that gives you a Python installed server access.