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Perhaps they're referring to your application's dependencies, in a situation where you're pickling instances of those dependencies' types. Then this is an examp
by price 6y ago
Perhaps they're referring to your application's dependencies, in a situation where you're pickling instances of those dependencies' types. Then this is an example of "old pickles look like old code".
- johncearls 6y agoI have this problem a lot with pandas Dataframes. I know I could engineer around it, but most of the time I just want to distribute some number crunching to a bunch of docker images quickly and a database is overkill for a one off analysis. Works fine until an image updates pandas. Not taking issue with pandas or pickle, but it's an issue of time trade-off. JSON is okay, but object conversion/Nan/None/inf can be a bear.