You do not need to stop using Excel. It is great at what it does. Creating dataframes (
Just save your spreadsheet as a .csv file with headers, or use Pandas read_excel).
Another issue is that python is slow. You may remedy this by using modules like pytorch and numpy with CUDA support and a decent Nvidia RTX2060 or higher card. This can speed up analysis 100 times. Excel is optimized for matrix computation and do this way faster than native python.
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You do not need to stop using Excel. It is great at what it does. Creating dataframes (
Just save your spreadsheet as a .csv file with headers, or use Pandas read_excel).
Another issue is that python is slow. You may remedy this by using modules like pytorch and numpy with CUDA support and a decent Nvidia RTX2060 or higher card. This can speed up analysis 100 times. Excel is optimized for matrix computation and do this way faster than native python.