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Fix typo
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docs/mooc/python-and-performance/performance-bottlenecks.md

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@@ -50,9 +50,9 @@ are very flexible, but they are also very generic, which makes them not so
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well suited for extensive numerical computations. Actually, the implementation
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of the data structures (e.g. in the standard CPython interpreter) is often
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quite efficient when one needs to process different types of data. However,
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when one is processing only a single type of data such, for example only
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floating point numbers, there is a lot of unnecessary overhead due to generic
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nature of these data structures.
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when one is processing only a single type of data, for example only
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floating point numbers, there is a lot of unnecessary overhead due to the
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generic nature of these data structures.
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## Multithreading
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