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This pull request adds a “Google Colab” subsection to user_guide/io.rst, showing how to load data into pandas using Colab’s file upload and Google Drive integration. The new section appears in the CSV & text files area so that it acts as an immediate practical application of the earlier filepath_or_buffer and io.StringIO concepts, helping users connect the documented parameters with real-world Colab workflows.

@mroeschke
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Thanks for the pull request, but a user is already working on this issue in #63102 and there are unrelated changes in this PR so closing for now

@mroeschke mroeschke closed this Dec 11, 2025
@sanchit122006
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Thanks for the pull request, but a user is already working on this issue in #63102 and there are unrelated changes in this PR so closing for now

Thanks for the quick review and the feedback!

I completely understand why you closed the PR:

  1. I see that another user is already handling the feature in Add Google Colab IO instructions to pandas IO documentation #63102.
  2. I apologize for the unrelated changes; I am currently cleaning up my local branch to ensure my next PRs are focused and clean.

On that note, I'm currently working to resolve some recurring CI issues that were blocking my PR and are likely unrelated to the feature itself, specifically the 'Set up Conda' step failing with a 503 HTTP error and the Pyodide check failing with a similar error.

I've tried forcing stable download URLs, but the problem persists.

Would you be open to providing a hint or advice on how to resolve these persistent failing CI checks in the pandas repository? I'd like to get my environment stabilized so I can submit clean, passing PRs in the future.

@sanchit122006 sanchit122006 mentioned this pull request Dec 12, 2025
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DOC: Explain how to load data in Google Colab

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