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| | Rewriting library code to speed up my interpreter benchmark by 28%.
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| | Memory Management Types of Profiling Tools Matrix Analysis Steps Base Example Timer Built-in module: timeit Built-in module: profiler Line Profiler Basic Memory Profiler Tracemalloc PyFlame (Flame Graphs) Conclusion Memory Management Before we dive into the techniques and tools available for profiling Python applications, we should first understand a little bit about its memory model as this can help us to understand what it is we're seeing in relation to memory consumption.
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| | Some notes on profiling python code in the Jupyter notebook environment
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