Yes, coming from the c/Unix/linux world, I’ve always found it a bit odd that in this whole python/ML/DL space, backwards compatibility of APIs just doesn’t seem to be “a thing”. Oh, well.
But perhaps because of that, there is an ecosystem to support maintaining a bunch of specific version recipes in parallel. There may be more than one such system, but the one I’m familiar with is Anaconda/Conda. Here’s a thread which will get you started down the road of extracting the info about the specific versions used in a given notebook and then duplicating that environment. The waters are pretty deep and there are too many possible situations, so it’s too much for anyone here to be expected to maintain a globally valid set of instructions for doing this in all cases. But you can use that thread as a starting point and then you’ll develop your own “chops” as you go along. The problems literally never end, so you need to become self-supporting. StackExchange is your friend. 