title: Colab Python: Downloading/Uploading google files without mounting
body: <p>I'm using Python in Colabs to access specific files with their IDs, analyze them, and record info on them. I need to save the recorded info in a team folder on Drive. I'm reluctant to mount because the team folder is deep in the architecture of the company drive folders. I don't know how to access it from the main drive, I have it stared in my drive for easy access. I also just feel weird mounting my entire drive with all the company info in it. I really wish you could mount a single folder (I know you can change the path after the mount, but that also feels weird).</p>
  <p>I have found a ton of ways to download a file based on the file ID, but I can't find any to upload to that file ID or save to the file ID. I know there's also a way with Pandas to read info from a file ID and use that as a data frame which is an option, but can you save the new info to the file ID with Pandas? There also seems to be a way to easily download with the Google API with a file ID, but again, not an easy way to upload to a file ID or a folder ID and over write the file.</p>
  <p>These files are going to be really big as time goes on; tens of thousands of lines, so it needs to be able to deal with that either by only uploading the new info or being able to handle long downloads.</p>
  <p>Edit: I did also just now try using gspread, but I'm not able to share files with emails outside of our company domain, so I'm unable to use gspread. ):</p>