May 2017
Intermediate to advanced
270 pages
6h 18m
English
Content preview from Python High Performance - Second Edition
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Profiling memory usage with memory_profiler
In some cases, high memory usage constitutes an issue. For example, if we want to handle a huge number of particles, we will incur a memory overhead due to the creation of many Particle instances.
The memory_profiler module summarizes, in a way similar to line_profiler, the memory usage of the process.
The memory_profiler package is also available on the Python Package Index. You should also install the psutil module (https://github.com/giampaolo/psutil) as an optional dependency that will make memory_profiler considerably faster.
Just like line_profiler, memory_profiler also requires the instrumentation of the source code by placing a @profile decorator on the function we intend to monitor. In ...
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