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Pandas IO docs: add a short section on using pandas IO in Google Colab, since a lot of people run pandas there but the docs don’t currently spell out the common patterns.

This adds a “Using pandas IO in Google Colab” subsection under the CSV & text files part of the IO user guide. It shows three basic workflows:

Uploading a local file with the Colab file upload widget, then reading it with pd.read_csv.

Mounting Google Drive and reading data from /content/drive/... using read_csv (and mentioning that the same pattern works for read_excel, read_parquet, etc.).

Reading from plain HTTP(S) URLs and briefly noting that S3 / GCS URLs also work as long as credentials and libraries are set up.

The goal is to give Colab users a concrete, copy‑pasteable starting point without having to piece this together from separate Colab and pandas docs.

@sanchit122006 sanchit122006 deleted the doc-io-colab-guide branch December 17, 2025 08:28
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DOC: Explain how to load data in Google Colab

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