how to see L1 cache miss / hit in python profiling?

Question

I have some code and would like to optimize the L1 cache miss/hit ratio. Is a way to see the cache hit/miss in memory profiling in Python ?

There are tools in C++ like this: Measuring Cache Latencies

EDIT : It may include compiled variant of Python like Cython / Numba (JIT)

Answer 1

Although specific for Python are not yet found, some 3rd party tools might be helfpul to investigate this technical issue :

Cachegrind: a cache and branch-prediction profiler http://valgrind.org/docs/manual/cg-manual.html

PyCacheSim (simulation only) : https://github.com/RRZE-HPC/pycachesim