1/12/2024 0 Comments For loops with dictionaries python![]() As such, they'll just take a constant time unrelated to the size of your dict etc, and unrepresentative of what happens when you iterate. Python ranks among the most popular and fastest-growing languages in the world. It was founded in 1991 by developer Guido Van Rossum. It has fewer steps when compared to Java and C. items() call, you're not checking the right thing, since these are lazy - they just return a view on the object and won't do any iteration until you actually start reading from the iterator. Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. are you actually iterating through the returned object.So items is nearly twice as slow (I suspect the main difference between this and the list() test is the proportion of other code involved: we only see such an effect because we're doing virtually nothing, so the proportion involved is much larger than it'd be in a real program.Īs such, I suspect you're doing something wrong, and my first guess to what that is would be to check: I also tried with a for loop rather than using list to exhaust in case that was introducing something, and the results aren't as big, but in the same direction: %timeit for x in d.values(): passġ0.2 µs ± 1.22 µs per loop (mean ± std. In fact, items() seems significantly slower than I'd expect. ![]() Some quick timing seems to bear this out: d=Ģ4.6 µs ± 311 ns per loop (mean ± std. items() that was slower, since it's bringing back more stuff and has to build a tuple.
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