How can I optimize my Python code for better memory efficiency?
You can optimize memory efficiency in Python by using generators instead of lists, minimizing global variables, and using built-in functions.
What are generators and how do they help with memory efficiency?
Generators are iterators that yield items one at a time and only when required, which saves memory compared to storing all items in a list.
Can you give me an example of using a generator?
Sure! Here's a simple generator function:
def count_up_to(n):
count = 1
while count <= n:
yield count
count += 1
This function yields numbers from 1 to n without storing them all in memory.
What other techniques can I use to reduce memory usage?
You can also use data structures like array
from the array
module for large datasets, and consider using libraries like NumPy for efficient array operations.
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