# How to Test ML Code - ML 091

Page: https://stenobird.com/podcast/adventures-in-machine-learning/how-to-test-ml-code-ml-091
Text version: https://stenobird.com/podcast/adventures-in-machine-learning/how-to-test-ml-code-ml-091.md
Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning)
Published: 2022-10-20T10:00:00+00:00
Episode link: https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-test-ml-code-ml-091
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842087/stream.mp3
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JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/how-to-test-ml-code-ml-091
Duration seconds: 2673

## Resource

In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer... What are tests and why should you use them? What's the difference between unit tests and integration tests? What should you test? How should you write tests in python? (the answer is to use pytest) Sponsors Top End Devs Coaching | Top End Devs Enov8, who provides test data management Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .

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## Transcript

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