'Reduce float precission to save memory in Python
I am preparing a code to create an array of 10^5 rows and 10^4 columns with Python. Each element of the array is a float (1.504096744947185, e.g.), which takes 24 Bytes, so the whole array would need 24 GB. However, I only need a precision of 6 decimal places instead of the default 15 decimal places given by Python. I have tried the round function, but it doesn't really save memory.
Would it be possible to reduce the precision of the numbers to save memory?
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