Julia https://juliadocs.github.io/Julia-Cheat-Sheet/

function.jl

# Variable, type and functions  https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter05

string.jl

println(code)

chr = 'C'
str = "A string"
for c in str
    println(c)
end
str = "Learn" * " " * "Julia"
println("a * b = $(a*b)") # interpolation 

# search
findfirst(isequal('i'), "Julia") == 4

# replace 
replace("Julia", "a" => "us") == "Julius"

# length
lastindex("Hello") == 5
length("Hello") == 5

#Beware of multi-byte Unicode encodings in UTF-8: 
10 == lastindex("Ångström") != length("Ångström") == 8


# regex
pattern = r"l[aeiou]"

# subexpressions
str = "+1 234 567 890"
pat = r"\+([0-9]) ([0-9]+)"
m = match(pat, str)
m.captures == ["1", "234"]

# all occurances
[m.match for m = eachmatch(pat, str)]



# Data engineering
#https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter03

# Numerical computing https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter04
# metaprograming and advanced typing https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter06
# Analytical data (dataframe)  https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter07
# Benchmark/log/call other program  https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter08
# Data Science  https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter09
# Distributed Computing https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter10