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python Programming Glossary: allocationsHow should I understand the output of dis.dis? http://stackoverflow.com/questions/12673074/how-should-i-understand-the-output-of-dis-dis . I think the numbers on the right hand side are memory allocations and the numbers on the left are goto numbers... I notice they..
Understanding performance difference http://stackoverflow.com/questions/17640235/understanding-performance-difference says that Python tends to reuse tuples so no extra allocations. So what does this performance issue boil down to I want to..
Keeping large dictionary in Python affects application performance http://stackoverflow.com/questions/19391648/keeping-large-dictionary-in-python-affects-application-performance you're destroying old mutable objects. That an excess of allocations over deallocations is what triggers CPython's cyclic gc . Not.. old mutable objects. That an excess of allocations over deallocations is what triggers CPython's cyclic gc . Not much you can do about..
Python 2.6 GC appears to cleanup objects, but memory is not released http://stackoverflow.com/questions/4949335/python-2-6-gc-appears-to-cleanup-objects-but-memory-is-not-released Instead it will re use the same segments for future allocations within the same interpreter. Here's a blog post about the issue..
PyCUDA/CUDA: Causes of non-deterministic launch failures? http://stackoverflow.com/questions/5827219/pycuda-cuda-causes-of-non-deterministic-launch-failures and occupation calculations say that the grid and block allocations are fine. I'm not doing any crazy 4.0 specific stuff I'm freeing..
numpy float: 10x slower than builtin in arithmetic operations? http://stackoverflow.com/questions/5956783/numpy-float-10x-slower-than-builtin-in-arithmetic-operations in chunks The key problem with comparing numpy scalar allocations to the float type is that CPython always allocates the memory..
http://stackoverflow.com/questions/6018986/memory-profiler-for-numpy to allocate space which is why memory used by big numpy allocations doesn't show up in the profiling of things like heapy and never..
http://stackoverflow.com/questions/62567/ignore-case-in-python-strings key lambda s s.lower but then you cause two new allocations per comparison plus burden the garbage collector with the duplicated..
Allocate items according to an approximate ratio in Python http://stackoverflow.com/questions/8685308/allocate-items-according-to-an-approximate-ratio-in-python letters i count 1 # Make adjustments to the pool allocations to account for rounding and odd numbers ratio_high_total len..
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