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2 changes: 1 addition & 1 deletion
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posts/2015/02/.linalg-support-in-pypynumpy-comment-3338463064440291817.html
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<html><body><p>What blog post somehow fails to mention is that we do not reimplement those but reuse whatever underlaying library is there. The measurments of the actual speed is then not that interesting, because we're only interested in the overhead of call.</p></body></html> | ||
<html><body><p>What blog post somehow fails to mention is that we do not reimplement those but reuse whatever underlaying library is there. The measurements of the actual speed is then not that interesting, because we're only interested in the overhead of call.</p></body></html> |
2 changes: 1 addition & 1 deletion
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posts/2015/03/.pypy-251-released-comment-6594177931272237550.html
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<html><body><p>Memory footprint is tricky to measure. PyPy usually starts at 60M (as opposed to say 6 for cpython), but then data structures are smaller. We'll try to get some measurments going on some point. Benchmarking is hard :-)<br><br>No, PyPy3 is not as fast as PyPy2. We should really look into it at some point.</p></body></html> | ||
<html><body><p>Memory footprint is tricky to measure. PyPy usually starts at 60M (as opposed to say 6 for cpython), but then data structures are smaller. We'll try to get some measurements going on some point. Benchmarking is hard :-)<br><br>No, PyPy3 is not as fast as PyPy2. We should really look into it at some point.</p></body></html> |
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