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4min chapter
Anaconda + Pyston and more
Practical AI: Machine Learning, Data Science, LLM
Python Is a Great Example of a Language Design Decision
Every language design decision is a compromise, from what i've seen. As you start making collections compromises that are coherent in some way, shape, perform, you mould a language for a particular set of use cases. I mean, python was designed to be a more friendlier bash, and maybe a slightly more readable pearl. So there's just different design decisions that put you into different places. And for that reason, i think that it is more likely in the future for these things to interrop with each other over a p is or over data sets, or maybe over share data abstractions like arrow or things like that. That's probably the more likely long term senario.
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