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Merge pull request #49 from tavito/master
Update 02-introduction.rst
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02-introduction.rst

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@@ -113,7 +113,7 @@ things faster:
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>>> timeit("random_walk_faster(n=10000)", globals())
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10 loops, best of 3: 2.21 msec per loop
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We gained 250% of computation-time compared to the previous version, not so
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We gained 85% of computation-time compared to the previous version, not so
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bad. But the advantage of this new version is that it makes numpy vectorization
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super simple. We just have to translate itertools call into numpy ones.
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