[Python] How can I optimize python code for faster execution?

I'm trying to speed up the performance of some Python code that processes large datasets. The output is correct, but it's too slow. I would appreciate any suggestions on optimization.

Here’s an example of what I’m currently using:

def process_data(data):
result = []
for item in data:
transformed = compute(item)
result.append(transformed)
return result

def compute(x):
for _ in range(1000):
x = x * 1.0001
return x

data = list(range(10000))
output = process_data(data)


A better code that provides optimized results.

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