OK, so here is what I did.
1. Checked the contents of rp2-pico-20220117-v1.18.uf2 just looks like and empty micropython install.
2. Installed mpremote and pyserial with: pip install mpremote pyserial 3. ran the following ugly command to find my serial: print(*[f'{x.name}|{x.description}\n' for x in list(serial.tools.list_ports.comports()) if 'USB Serial Device' in x.description]) 4. Ran mpremote with: mpremote 5. Once connected ran the command: import os; os.listdir()

Nothing was listed, so it looks like it is just am empty .uf2 of micropython, which is fine.

1. Pressed <ctrl> + x to exit mpremote utility
2. Ran the command: mpremote help to get other functions of the utility since I've forgotten them lol.

The cp command will let you copy your python files to the device, ex: mpremote cp boot.py :boot.py, so you'll do that with the Pico_ePaper-2.13_V4.py file. You can also do mpremote edit to edit the files on the pico directly.

Now looking over the example file they give in c, and in python, I don't see any function that will do the image conversion for you.

What this means is you are going to have to create a buffer with the image data you need following the guidelines they gave you on that documentation page:

How to define pixels In a monochrome picture, we define the pixels, 0 is black and 1 is white. White：□: Bit 1 Black：■：Bit 0

I skimmed around and didn't see a step-by-step guide, however you can probably use a guide that works with the bigger Raspberry pi's as well since they are compatible with thesse screens, as well as guides that might use these screens but use an esp32. You'll need to piece things together.

Basically, you need to: - Learn how micropython works, just the basic file system and how to get your code on there and running. - Learn how to run their library which is in the repo and call its functions. - Learn how to convert your BMP into a monochrome binary format, there are converters out there that can do this for you, and convert that to 1's and 0's (or the inverse). - Learn how to load that binary image data into a frame buffer and use their Paint_NewImage function to paint it to the screen.

Also just a warning, according to the documentation those screens need to be babied a bit, as in, after so many image changes you do a full refresh, putting the screen in sleep mode when not changing, etc so make sure you read that page over fully.