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doc/source/getting_started/10min.rst
@@ -103,7 +103,7 @@ Display the index, columns:
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df.columns
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:meth:`DataFrame.to_numpy` gives a NumPy representation of the underlying data.
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-Note that his can be an expensive operation when your :class:`DataFrame` has
+Note that this can be an expensive operation when your :class:`DataFrame` has
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columns with different data types, which comes down to a fundamental difference
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between pandas and NumPy: **NumPy arrays have one dtype for the entire array,
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while pandas DataFrames have one dtype per column**. When you call
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