Ava is a collection of useful utilities in Julia Language that maps closely to the Python counterparts.
For a quick example, in Python, a Counter object can be used to form a bag of words.
>>> words = 'Two roads diverged in a yellow wood'.split()
>>> Counter(words).most_common()With Ava.Collections you could write something similar:
> import Ava.Strings: Str
> import Ava.Collections: Counter
> words = Str('Two roads diverged in a yellow wood').split()
> Counter(words).most_common()
Testing a string for alphanumeric:
using Ava
# Do this to avoid namespace clash with `Strings` module.
const Str = Ava.Strings
if !Str.isalpha("10.9")
println("It's number")
end
List the files in a directory.
> import Ava: Os
> parent = Os.listdir("..")
# listdir has multiple dispatch which defaults empty parameter to "."
> current = Os.listdir()
Because Julia is not Object-oriented language, instance methods aren't very idiomatic.
In Python, the conventions were mixed between module-level functions and instance methods. This is a source of confusion for many.
Ava provides convenient wrapper constructors to create an illusion of instance methods. For example:
> using Ava
> const Str = Ava.Strings.Str
> pi = Str("3.1416")
> pi.isalpha()
# false
> Str("Hello, world!").split()
#=
2-element Array{String,1}:
"Hello,"
"world!"
=#
Find the ten most common words in Hamlet:
> import Ava.Collections: Counter
> open("hamlet.txt") do f
> words = matchall(r"\w+", read(f, String))
> Counter(words).most_common(10)
> end
#=
10-element Array{Pair{Any,Int64},1}:
"the" => 1143
"and" => 966
"to" => 762
...
=#
However, module-level functions should be considered better practice.
> import DataStructures: counter
> import Ava.Collections: most_common
> counter(words) |> most_common
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