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doc/source/user_guide/io.rst

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@@ -75,11 +75,11 @@ Google Colab provides several ways to load data into pandas DataFrames:
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df.to_csv('/content/drive/MyDrive/output.csv', index=False)
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files.download('output.csv')
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Files in `/content/` are temporary. Use Drive for persistence.
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Files in ``/content/`` are temporary, so prefer saving to Google Drive if you need persistence.
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See Colab's `official IO notebook <https://colab.research.google.com/notebooks/io.ipynb>`_.
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For more details on file handling in Colab, see the
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`official Colab IO notebook <https://colab.research.google.com/notebooks/io.ipynb>`_.
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:ref:`Here <io.perf>` is an informal performance comparison for some of these IO methods.
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.. note::

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