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What is the difference between char * const and const char *?

...t know Pascal, not sure about the [3..4] syntax, so let's take an array of 10 elements): int *(*foo)[10];. It mirrors its (future) use as an expression: *(*foo)[i] (with i an integer in the range [0, 10) i.e. [0, 9]) will first dereference foo to get at the array, then access the element at index i ...
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jQuery UI dialog positioning

... 109 As an alternative, you could use the jQuery UI Position utility e.g. $(".mytext").mouseover(f...
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Right way to reverse pandas.DataFrame?

... behzad.nouribehzad.nouri 55.7k1414 gold badges103103 silver badges111111 bronze badges ...
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How to edit data in result grid in SQL Server Management Studio

... answered Dec 28 '10 at 3:52 LamakLamak 63.8k88 gold badges9595 silver badges109109 bronze badges ...
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Can Selenium Webdriver open browser windows silently in background?

...now deprecated – Corey Goldberg Nov 10 '17 at 4:16 5 indeed, use "--headless" instead of "--no-st...
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How to find all the tables in MySQL with specific column names in them?

... | edited Oct 9 '12 at 10:51 Craig Ringer 242k5353 gold badges539539 silver badges643643 bronze badges ...
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Is it possible to delete an object's property in PHP?

... answered Aug 30 '10 at 13:26 Yanick RochonYanick Rochon 43.5k2121 gold badges104104 silver badges175175 bronze badges ...
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Execute method on startup in Spring

... answered Mar 8 '10 at 13:24 skaffmanskaffman 374k9292 gold badges779779 silver badges744744 bronze badges ...
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Structs in Javascript

...a retyping is still an issue, as there are more jumps than copying the new ___ ( , , , ) archetype. Also, there is no readability. Once you get used to coding, new READABLE_PART(ignore everything in here) becomes very scannable and self documenting, as opposed to {read: "ignore", everything: "igno...
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Group by multiple columns in dplyr, using string vector input

...: data = data.frame( asihckhdoydkhxiydfgfTgdsx = sample(LETTERS[1:3], 100, replace=TRUE), a30mvxigxkghc5cdsvxvyv0ja = sample(LETTERS[1:3], 100, replace=TRUE), value = rnorm(100) ) # get the columns we want to average within columns = names(data)[-3] library(dplyr) df1 <- data %>...