~/talk

Developments in Test-Driven Data Analysis

Talkat PyData Berlin 2017 · 2017-06-23..06-25· [testing, data-visualization]
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slides:none on file

Test‑driven data analysis applies concrete checks: reference tests capture inputs code and expected outputs, while automatic constraint discovery generates executable rules for fields and joins; an open source TDDA library plus a commercial Mirror demo produce constraints and verify them, generate rexpy regular expressions, and flag surprises like negative card fees and multi‑million ticket prices; examples run live, generate diffs, and let tests be updated when the new output is accepted.

AI-written summary · about

  1. 0:00Introduction
  2. 10:17TDDA core concepts
  3. 18:43Demo: reference testing
  4. 28:08Constraint discovery
  5. 31:35TDDA future developments
  6. 34:22Summary
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