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7 Ways to Stop Writing Messy Data Science Code
Data science projects often spiral into a chaotic mess of 'throwaway' code that becomes impossible to maintain. The secret to moving faster isn't skipping the setup—it's building a robust foundation that treats software design as a first-class citizen in the lab.