How can I optimize memory usage in my Python application?
You can optimize memory usage in Python by using generators, avoiding global variables, and utilizing built-in data structures efficiently.
What are generators and how do they help with memory?
Generators allow you to iterate over data without loading everything into memory at once, which saves memory.
Are there any specific libraries that can help with memory optimization?
Yes, libraries like pandas
for data manipulation and numpy
for numerical data can help manage memory more efficiently.
How can I measure memory usage in my Python code?
You can use the memory_profiler
library to measure memory usage line by line in your Python code.
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