Julia slower than Python for finding pangrams?

General Usage Performance
6

You are measuring startup time, and Julia (still, despite major improvements) is known to have a slow startup time: it compiles your code every time you run a new Julia process. Basically,

is not how you should run Julia programs, at least not if the runtime of pangram.jl is less than a few minutes. Instead, you start a REPL / IJulia kernel or some other long running process and then run / include your Julia code in that.

In this case, in a new Julia REPL:

julia> function ispangram(input)
               return ('a':'z' ⊆ lowercase(input))
       end
ispangram (generic function with 1 method)

julia> input = "wjjqevffkkgbcehhiqpvqutmwxawzvjnbvukmlzxyhkgfddzfjhcujnlkjbdfgghjhujkiuytghjioplkjhgfdsaqwertyujioplkjhgfdsaqwertzuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkj"
"wjjqevffkkgbcehhiqpvqutmwxawzvjnbvukmlzxyhkgfddzfjhcujnlkjbdfgghjhujkiuytghjioplkjhgfdsaqwertyujioplkjhgfdsaqwertzuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwer
tyuioplkjhgfdsaqwertyuioplkjhgfdsazxcvbnmlkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkjhgfdsaqwertyuioplkj"

julia> ispangram(input)
true

julia> using BenchmarkTools

julia> @benchmark ispangram($input)
BenchmarkTools.Trial: 10000 samples with 8 evaluations.
 Range (min … max):  3.641 μs … 245.906 μs  ┊ GC (min … max): 0.00% … 96.62%
 Time  (median):     4.031 μs               ┊ GC (median):    0.00%
 Time  (mean ± σ):   4.366 μs ±   7.129 μs  ┊ GC (mean ± σ):  5.55% ±  3.35%

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  3.64 μs         Histogram: frequency by time        5.41 μs <

 Memory estimate: 7.01 KiB, allocs estimate: 10.
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