Making non-programmers run a Python program can be a straightforward process if you take the right approach. Here are some steps to guide you in making it as easy as possible for non-programmers to run a Python program:

Create a User-Friendly Interface:

Develop a graphical user interface (GUI) if possible, as it's generally more intuitive for non-programmers.

If a GUI isn't feasible, design a simple text-based menu or prompts that guide users through the program.

Provide Detailed Instructions:

Create clear, step-by-step instructions for running the program. Assume the user has little to no programming knowledge.

Include information on how to install any necessary dependencies, if applicable.

Use Packaging Tools:

Consider using packaging tools like PyInstaller or cx_Freeze to create standalone executables for your Python program. This way, users won't need to install Python or any dependencies.

Virtual Environments:

Encourage users to set up a virtual environment using virtualenv or conda to isolate the program's dependencies. Provide instructions on how to do this.

Bundle Dependencies:

If using a standalone executable isn't an option, bundle the necessary Python libraries with your program. Tools like PyInstaller can help with this.

Provide a Batch File or Shell Script:

Create a simple batch file (for Windows) or a shell script (for Unix-based systems) that users can double-click or run to start your Python program. The script should handle setting up the environment and running the program.

Error Handling:

Implement error handling and provide clear error messages that users can understand. Include troubleshooting tips in your instructions.

Test Thoroughly:

Test the program on a variety of systems and environments to ensure it runs smoothly for users with different setups.

Documentation:

Create user-friendly documentation that explains what the program does, how to use it, and any advanced options. Include screenshots or examples if possible.

Provide Support:

Offer some level of support for users who run into issues. This could be through email, a forum, or a dedicated support channel.

Automate Installation (If Possible):

If your program requires additional software components or libraries, try to automate their installation as much as possible within your setup process.

Consider Cloud Solutions:

If your program can be run as a web application, consider hosting it on a cloud platform (e.g., AWS, Azure, or Heroku) and providing a web interface. This eliminates the need for users to install or run anything locally.

Keep It Simple:

Whenever possible, design your program to have a minimal setup process. The fewer steps required to run the program, the better.

By following these steps, you can make it easier for non-programmers to run your Python program, even if they have little to no programming experience. The key is to simplify the process and provide clear, user-friendly instructions.

Solution

1 Colab can handle the 2 problems, but you may need to adapt some code.

Matplotlib interface: Colab can display plots just fine. But you may want user to interact with slider, checkbox, dropdown menu. Then, you need to use Colab's own Form UI, or pywidgets. See an example here

2 separate python files: you can convert one of them to a notebook. Then import the other. Or you can create a new notebook that import both files.

Answer by: >korakot

Credit to >StackOverflow

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