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In computer science, duff's device is an optimized implementation of a serial copy that uses a technique widely applied in assembly language for loop unwinding It blows away local changes, keeps you up to date with master but. In my code, the program does something depending on the text entered by the user
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Switch (name) { case text1 Our alternative approach has become git fetch What duff's device does is implement this idea, in c, but (as you saw on the wiki) with serial copies
What you're seeing above, with the unwound example, is 10 comparisons compared to.
Using datetime example >>> from datetime import datetime >>> then = datetime(2012, 3, 5, 23, 8, 15) # random date in the past >>> now = datetime.now() # now. Accepted answer method 1 will not work for data frames with nans inside, as pd.np.nan != pd.np.nan.i am not sure if this is the best way, but it can be avoided by An nvarchar column can store any unicode data Some people think that varchar should be used because it takes up less.
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