A Guide to Analyzing Python Performance
Introduction Coarse grain timing with time Fine grain timing with a timing context manager Line-by-line timing and execution frequency with a profiler How much memory does it use? IPython shortcuts for line_profiler and memory_profiler Where’s the memory leak? Which objects are the most common? Which objects have been added or deleted? What is referencing this leaky object? Effort vs precision Ref
memory-profiler
View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery Meta License: BSD License (BSD) Author: Fabian Pedregosa Requires: Python >=3.5 Memory Profiler Note: This package is no longer actively maintained. I won’t be actively responding to issues. If you’d like to volunteer to maintain it, please drop me a line at f@bianp.net This is a python module for
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GitHub - SamSaffron/memory_profiler: memory_profiler for ruby
