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It's very rare that an ML project is _only_ the ML parts. A significant chunk of the engineering effort goes into data pipelines and other plumbing. Having acce
by cherryteastain 2y ago
It's very rare that an ML project is _only_ the ML parts. A significant chunk of the engineering effort goes into data pipelines and other plumbing. Having access to a widely used general purpose language with plenty of libraries in addition to all the ML libraries is the real reason why everyone goes for Python for ML.