I can't understand what you wrote. Append is linear time. It could have been amortized O(1), but the Go authors decided that used too much memory so it's O(n) i

I can't understand what you wrote. Append is linear time. It could have been amortized O(1), but the Go authors decided that used too much memory so it's O(n) instead, with amortized O(1) behaviour for short slices. Amortized meaning that it's O(1) and then suddenly it's O(n) for one of the calls and then it's O(1) again for a while. But because of the size limit in increases, for large arrays it's O(n), and a fair assessment of the function would only mention the largest bound. What do you mean that the way append functions is obvious ? Because it doesn't seem obvious to me at all. Do you mean it's obvious to C/assembly programmers ? Obvious to someone who's implemented the Go standard library ? This means slices work well, until the growth of one slice happens too fast and then, suddenly, your program crawls to a halt (and because it's doing more work, likely requests will pile up and make the offending slice grow even faster, resulting in effectively an infinite loop, and behaviour that is indistinguishable from the scheduler freezing, because now there is ridiculous growth in the number of goroutines). The rule you gave in the other post is that in Go, everything behaves as a value. None of the complex Go datatypes do that. Slices, maps, interfaces, channels, ... all are half-half reference-value, with curious behaviour resulting from that. Go's simplicity comes from the fact that there are very few advanced datatypes to remember, and that the language makes it utterly impossible to implement any new ones in a reasonable way. So on the one hand you don't have idiots using B+trees where an array would have sufficed, but good luck expressing matrix equations in Go.