I have 2 questions. Firstly, what comes after coding ? Secondly what is an example of what python does irl?(both are related)

Question

1- I coded a simple clock and was wondering, what now ? The code is working just how I want, no bugs, and runs smoothly, so like is it possible to somehow make it into an application???? Maybe for windows as i don't think android supports python?

2- what is a real life example for what python does?? What do we do with it after we finish coding? And what part is it responsible for, with a real life example please!. And does python ask for input just like the play ground here ?

Answer 1

1. With Auto PY to EXE, you can easily convert .py files to .exe files. Thanks to this, your Python project will work as a desktop application and you can run the application on other machines without the need to install Python.

https://pypi.org/project/auto-py-to-exe/

Answer 2

2. Where we can use Python:

1. Web Development
2. Game Development
3. Machine Learning and Artificial Intelligence
4. Data Science and Data Visualization
5. Desktop GUI
6. Web Scraping Applications
7. Business Applications
8. Audio and Video Applications
9. CAD Applications
10. Embedded Applications

Answer 3

1) https://gist.github.com/ForgottenUmbrella/ce6ecd8983e76f6d8ef47e07240eb4ac

2) https://www.codecademy.com/resources/blog/what-is-JUMP_LINK__&&__python__&&__JUMP_LINK-used-for/

Or, what I'd use it for: http://automatetheboringstuff.com/

Answer 4

Python is a general purpose language, and during the years a lot of libraries have been developed for various purposes, that make the language easy to use for many things. Some examples:
- Scripting for system administration and devops. Easy to write small programs for recurring tasks like analysing log files, setting network configurations, even setting up hardware infrastructures in the cloud (search for Ansible)
- Web applications and API. There are many frameworks available to write and deploy web apps with complex features, most commonly used are Django and Flask.
- Data analysis: pandas and numpy
- Data visualization: matplotlib, seaborn
- Machine learning: sklearn, tensorflow, keras, pytorch
- scientific and math calculations: sympy, scipy
Many other possible uses. Even the standard library has a very rich set of features.
https://docs.python.org/3/library/index.html