tracking memory usage in python

Memory management is a critical aspect of programming, especially in resource-intensive applications. Python provides several tools and modules to help developers monitor and track memory usage. In this tutorial, we will explore various methods to track memory usage in Python, using code examples.
The memory_profiler module allows you to profile the memory usage of your Python code. To use it, follow these steps:
This will generate a text file with memory usage information.
The tracemalloc module is part of the Python standard library and provides a simple way to trace memory allocations. Here's how to use it:
The psutil module provides a cross-platform way to access system details, including memory usage. Follow these steps:
This will print information about total, available, and used memory.
Tracking memory usage in Python is essential for optimizing and debugging applications. The methods presented here, using memory_profiler, tracemalloc, and psutil, offer different levels of detail and flexibility. Choose the method that best fits your needs and integrate it into your development and debugging workflow.
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