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Clean Code for Data Scientists // Matt Sharp // # 160

22 snips
Jun 7, 2023
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Matt Sharp
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ANECDOTE

Ambiguous Table Names

  • A "locations" table caused confusion because it contained different location types.
  • This ambiguity led to incorrect data analysis and wasted time.
ADVICE

Jupyter Notebook Cell Strategy

  • Treat Jupyter Notebook cells like separate Python files.
  • This allows easier transition to production-ready scripts.
INSIGHT

Code Clarity Over Tools

  • The distinction between exploratory and production code is how it's written, not what tools are used.
  • Modular code is crucial for production but less so for initial exploration.
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