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I am performing convolution in Python involving some really small numbers. Is there a way to do convolution without losing precision?
That sounds promising. Can you give me an example of how I can use NumPy for high precision convolution?
Sure. Here's some sample code:

import numpy as np

a = np.array([0.1, 0.2, 0.3])
b = np.array([0.4, 0.5, 0.6])

c = np.convolve(a, b, mode='same')

print(c)

This code performs convolution between two arrays a and b, and stores the result in array c. The 'mode' parameter specifies the type of convolution to be performed. The 'same' mode returns output of the same shape as the input arrays.