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What is the difference between . text, . value, and . value2? If you are processing the cell's value then reading the raw Value2 is marginally faster than Value or Text If you are locating errors then Text will return something like #N A as text and can be compared to a string while Value and Value2 will choke comparing their returned value to a string If you have some custom cell formatting
Iterating over dictionaries using for loops - Stack Overflow Each key is connected to a value, and you can use a key to access the value associated with that key A key's value can be a number, a string, a list, or even another dictionary In this case, threat each "key-value pair" as a separate row in the table: d is your table with two columns the key is the first column, key[value] is your second column
How to set variable from a SQL query? - Stack Overflow Then you can use SELECT to show the value of @ModelID or use the variable into your code SELECT @ModelID See this question for the difference between using SELECT and SET in TSQL Warning If this SELECT statement returns multiple values (bad to begin with):
python - How to check for NaN values - Stack Overflow A NaN implemented following the standard, is the only value for which the inequality comparison with itself should return True: def is_nan(x): return (x != x) And some examples: import numpy as np values = [float('nan'), np nan, 55, "string", lambda x : x] for value in values: print(f"{repr(value):<8} : {is_nan(value)}") Output:
How do I perform an IF. . . THEN in an SQL SELECT? Using SQL CASE is just like normal If Else statements In the below query, if obsolete value = 'N' or if InStock value = 'Y' then the output will be 1 Otherwise the output will be 0 Then we put that 0 or 1 value under the Salable Column
SQL SELECT WHERE field contains words - Stack Overflow A proper explanation would greatly improve its long-term value by showing why this is a good solution to the problem, and would make it more useful to future readers with other, similar questions Please edit your answer to add some explanation, including the assumptions you've made
Manually raising (throwing) an exception in Python @Two-BitAlchemist Good point The idea was lost in simplification, when I wrote the simple example above In many similar cases it's a condition that isn't associated with a particular value Rather, the meaning is "control flow should never get here" –
How to select unique records by SQL - Stack Overflow When I perform SELECT * FROM table I got results like below: 1 item1 data1 2 item1 data2 3 item2 data3 4 item3 data4 As you can see, there are dup records from column2 (item1 are dupped) So how co