Getting Started Testing in Data Science

Speaker

Jes Ford

Material

• video
• slide-origin
• slide-flatten

Note

• Data Science Workflows

  1. One-off analysis
  2. Exploratory
  3. Well defined problem

• Data Science Domain Problem

  • Working with Pandas DataFrames
    • Pandas built-in testing methods
      • from pandas.util.testing import assert_frame_equal
      • check_like
      • check_dtype
  • Working with DB
    • mock data that should be get from database and test only behavior
  • Generating Dataframe for Testing
    • hypothesis

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