It's "easy to learn" and you get all the downsides that come with that.

At work right now we're integrating with scoring models hosted in Amazon SageMaker written by a "modelling team" and as far as I can tell they follow absolutely no basic coding practices. They give us the API and are asking us to send English strings of text for names of things instead of any real keys, and they're just comparing against plain strings and magic numbers everywhere so if they're asked to make any change like renaming something it's a herculean task that breaks a bunch of other things. Something will break when a field is null and then they'll tell us instead of sending null if we have no data to send -9999999. One time something broke and it turned out to be because we sent them "MB" (Manitoba) as someone's province, and whoever wrote it was just plain-text checking against a list of province codes as strings and didn't remember to include Manitoba.

I know this is still mainly a business/management issue that they're allowing people who don't know how to code to write code, but I'm sure this is happening at other companies, and I think Python's level of accessibility at the beginner level has been a real blight to software quality.