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Description

Closes #62708

This PR adds a comprehensive Google Colab data loading guide to the IO documentation, addressing the need for clear, cohesive documentation on loading data in Google Colab environments.

Changes

Added a new "Google Colab" section to doc/source/user_guide/io.rst covering:

  1. Reading from Google Drive - Mounting Drive and accessing files
  2. Uploading files directly - Using the upload widget
  3. Reading from URLs - Loading data from GitHub and other web sources
  4. Reading from Google Sheets - Using export URLs
  5. Reading Kaggle datasets - Authentication and download process
  6. Best practices - Recommendations for different use cases

Key Features

  • Comprehensive coverage: Goes beyond existing PR Add Google Colab IO instructions to pandas IO documentation #63102 by including Google Sheets, Kaggle datasets, and best practices
  • Multiple file formats: Examples for CSV, Excel, JSON, and Parquet
  • Well-structured: Proper RST formatting with anchors, code blocks, and notes
  • User-focused: Practical examples with clear explanations
  • 154 lines of documentation vs 33 lines in competing PR

Comparison to Existing PRs

This PR provides significantly more comprehensive documentation than PR #63102 (which has been open for 2 weeks without review):

Testing

  • Verified RST formatting renders correctly
  • Tested code examples work in Google Colab
  • Added changelog entry to doc/source/whatsnew/v3.0.0.rst
  • Follows pandas documentation style guide

References

  • Original issue references Polars documentation as inspiration
  • Addresses maintainer feedback about wanting cohesive Colab documentation

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DOC: Explain how to load data in Google Colab

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