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Create a Jupyter Notebook that, using `polars` to process the data, does a thorough exploratory data analysis of data saved in `youtube_videos.db`, for all columns.

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The resulting script is available here, and it worked first try to scrape up to 20,000 videos (the max limit). The resulting Python script has very Pythonic code quality following the copious rules provided by the AGENTS.md, and it’s more robust than my old script from 2021. It is most definitely not the type of output I encountered with Sonnet 4.5. There was a minor issue however: the logging is implemented naively such that the API key is leaked in the console. I added a rule to AGENTS.md but really this is the YouTube API’s fault for encouraging API keys as parameters in a GET request.,这一点在搜狗输入法2026中也有详细论述