Tag: performance
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Best practices for GraphQL in general
0 What are best practices for designing and implementing GraphQL APIs, considering aspects such as schema design, query optimization, error handling, and security? How certain practices contribute to improved performance, maintainability, and overall efficiency in GraphQL development. For example, how you would structure your schema to handle nested queries efficiently. Also what are security concerns…
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Efficiently match all values of a vector in another vector
11 I’m looking to find an efficient method of matching all values of vector x in vector y rather than just the first position, as is returned by match(). What I’m after essentially is the default behavior of pmatch() but without partial matching: x <- c(3L, 1L, 2L, 3L, 3L, 2L) y <- c(3L, 3L,…
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Why is b.pop(0) over 200 times slower than del b[0] for bytearray?
24 Letting them compete three times (a million pops/dels each time): from timeit import timeit for _ in range(3): t1 = timeit(‘b.pop(0)’, ‘b = bytearray(1000000)’) t2 = timeit(‘del b[0]’, ‘b = bytearray(1000000)’) print(t1 / t2) Time ratios (Try it online!): 274.6037053753368 219.38099365582403 252.08691226683823 Why is pop that much slower at doing the same thing? python…
