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MySQL COUNT(DISTINCT) function returns a count of number rows with different non-NULL expr values.
Extracting the data. select vbeln ernam erzet vkorg lfart from likp into CORRESPONDING FIELDS OF TABLE et_entityset up to 60 rows.
Information value is one of the most useful technique to select important variables in a predictive model.
for count, thing in enumerate(args): ... print( '{0}. {1}'.format(count, thing)) ... >>> print_everything('apple', 'banana', 'cabbage') 0. apple 1. banana 2. cabbage. Similarly, **kwargs allows you to handle named arguments that you have not defined in advance