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  • If OOP makes problems with large projects, what doesn't?

    - by osca
    I learned Python OOP at school. My (good in theory, bad in practice) informatics told us about how good OOP was for any purpose; Even/Especially for large projects. Now I don't have any experience with teamwork in software development (what a pity, I'd like to program in a team) and I don't know anything about scaling and large projects either. Since some time I'm reading more and more about that object-oriented programming has (many) disadvantages when it comes to really big and important projects/systems. I got a bit confused by that as I always thought that OOP helped you keep large amounts of code clean and structured. Now why should OOP be problematic in large projects? If it is, what would be better? Functional, Declarative/Imperative?

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