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blog_posts/code-anatomy-performant-python.md
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@ -59,5 +59,3 @@ def difference(a, b):
Using `timeit` to analyze the performance of the last two code examples, it's pretty clear that using list comprehension can be up to ten times faster than the alternative, as it's a native language feature that works very similar to a simple `for` loop without the overhead of the extra function calls. This explains why we prefer it, apart from readability.
This pretty much applies to most mathematical list operation snippets, such as [difference](/python/s/difference), [symmetric_difference](/python/s/symmetric-difference) and [intersection](/python/s/intersection).
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