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lectures/numpy.md
@@ -1167,7 +1167,7 @@ For a comprehensive list of what's available in NumPy see [this documentation](h
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```{index} single: Vectorization; Operations on Arrays
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```
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-We mentioned in an {doc}`previous lecture <>` that NumPy-based vectorization can
+We mentioned in an {doc}`previous lecture <need_for_speed>` that NumPy-based vectorization can
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accelerate scientific applications.
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In this section we try some speed comparisons to illustrate this fact.
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