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Python is great, but sometimes it can be slow—especially with large datasets, loops, and computational tasks. Want to boost performance and make your code run faster? Here are 3 quick hacks (out of 10!) to get you started: ✅ Use Generators Instead of Lists def squares_generator(data): for elem in data: yield elem * 2
Python is great, but sometimes it can be slow—especially with large datasets, loops, and computational tasks. Want to boost performance and make your code run faster?
Here are 3 quick hacks (out of 10!) to get you started:
✅ Use Generators Instead of Lists
def squares_generator(data):
for elem in data:
yield elem * 2
