monitoring memory usage of a running python program

title: monitoring memory usage of a running python program
introduction:
monitoring memory usage is crucial when developing and maintaining python applications to ensure optimal performance and prevent potential issues like memory leaks. in this tutorial, we'll explore various tools and techniques to monitor the memory usage of a running python program.
prerequisites:
make sure you have python installed on your system.
tools for monitoring memory usage:
psutil:
psutil is a cross-platform library for retrieving information on running processes and system utilization. it provides a simple and effective way to monitor memory usage in python programs.
install it using:
code example:
memory-profiler:
memory-profiler is a python module for monitoring memory usage during the execution of a python script. install it using:
code example:
tracemalloc:
tracemalloc is a built-in python module for tracing memory allocation. it provides detailed reports on memory usage.
code example:
conclusion:
monitoring memory usage is a crucial aspect of python application development. the tools mentioned in this tutorial provide various levels of granularity in tracking and analyzing memory consumption. choose the one that best suits your needs and integrate it into your development workflow to ensure your python programs are memory-efficient.
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