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This article was written by Stephanie Kim.

Recently I gave a talk at PyData Seattle about how to ramp up your data science skills by borrowing tips and tricks from the developer community. These suggestions will help you become a more proficient data scientist who is loved by your team members and stakeholders.

This post is broken up into five parts including:

  • History and controversy of the 10x developer
  • Project design
  • Code design
  • Tools for the job
  • Productionizing model

To read the whole article, with each point detailed, click here.

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