I have a complex mapping problem. I have a table with groups. Each group has a list of 7 products The product list may contain duplicate products. MY GOAL : I have to map 5 products in the list of 7 products If the value of the column rank is equal to 1, 2, 3 then Product_1, Product_2, Product_3. If
Tag: switch-statement
Python Switch/Case Statement Adaptation
Ok, at the risk of being ridiculed for not ‘trying harder’, I have a scenario that I’ve been attempting to adapt to a pythonic switch case statement. I know python has the new match method in 3.10 but I’m limited to 3.8.10 in my AWS use case. I’ve been reading up on switch cases in other languages and I want
Python Match Case (Switch) Performance
I was expecting the Python match/case to have equal time access to each case, but seems like I was wrong. Any good explanation why? Lets use the following example: And define a quick tool to measure the time: If we run each 10000000 times each case, the times are the following: Just wondering why the access times are different. Isn’t