Julia

Books

• Think Julia: How to Think Like a Computer Scientist
• Julia 1.0 Programming Cookbook

Tutorials

• Cheat sheet
• The Julia Express
• A Comprehensive Tutorial to Learn Data Science with Julia from Scratch

Linux packages

There is no official PPA/deb package, the "recommended" approach is to use the asdf package manager and install with the following commands:

export JULIA_VERSION=1.2.0
asdf plugin-add julia
asdf install julia $JULIA_VERSION
asdf global julia $JULIA_VERSION

It's easiest to keep track of the releases on GitHub.

Some popular packages

Convex.jl
CuArrays.jl
CUDAnative.jl
Cxx.jl
DataFrames.jl
DifferentialEquations.jl
Distributions.jl
Documenter.jl
FFTW.jl
Flux.jl
ForwardDiff.jl
Gadfly.jl
GLM.jl
IJulia.jl
Images.jl
JavaCall.jl
JuliaDB.jl
JuMP.jl
Knet.jl
LightGraphs.jl
Makie.jl
MKL.jl
OnlineStats.jl
Optim.jl
PackageCompiler.jl
Pardiso.jl
Plots.jl
PyCall.jl
RCall.jl
Revise.jl
StatsPlots.jl
StatsFuns.jl
TensorFlow.jl
TensorOperations.jl
Turing.jl
UnicodePlots.jl
Zygote.jl

Snippets

Print arrays and vectors vertically from code (similar to how the REPL does it):

julia> A = [1, 2, 3]
3-element Array{Int64,1}:
 1
 2
 3

julia> print(A)
[1, 2, 3]
julia> display(A)
3-element Array{Int64,1}:
 1
 2
 3