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# Your AI Data Science Is Lying to You

**[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 1 min read · 0 upvotes · 0 comments

## Summary

A practical walkthrough of using AI (specifically PyCharm's integrated Codex agent) for real data science work, emphasizing the importance of validating AI-generated transformations rather than blindly trusting them. The key insight is that in Jupyter notebooks, broken code doesn't crash — it silently produces wrong results. PyCharm's built-in data frame viewer and variable inspector let you quickly verify data types, distributions, and null counts in one glance, catching issues like a numeric column being returned as a string. The workflow: let AI accelerate transformations, then validate before trusting.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=8AGyh2Tc1hQ>

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---

Tags: [#python](https://daily.dev/tags/python), [#data-science](https://daily.dev/tags/data-science), [#devtools](https://daily.dev/tags/devtools), [#ai-assisted-development](https://daily.dev/tags/ai-assisted-development), [#jupyter](https://daily.dev/tags/jupyter)

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