Must have Data Science and Operations Research Packages

#1

Hello all!

My team is working to install Julia on a closed network (yes we have received permission to do so!). My questions for the community are-

  • What are some best practices to hosting Julia on a multi-server closed network (no internet, multiple servers running Linux VMs).
  • In your opinion, and this is the biggie, what packages are “Must Haves” and “Nice to haves” that I will want Day one? Due to the lack of internet access, we may not be able to freely install packages as we need them, so id like to have a pretty big list from the get go!

Thanks!

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#2

I don’t know much about it, but maybe worth taking a look at https://juliacomputing.com/products/juliateam.html? At least the marketing blurb sounds like it is targeting folks in your situation.

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#3

You might be interested in looking at the source code for some modules I’ve been working on which you can reuse and adapt as you see fit. I’m not a computer scientist (there’s always more than one way to do things) but I hope these are helpful.

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#4

Automa
Clustering
Combinatorics
CSV
DataFrames with DataFramesMeta
DataStructures
Debugger with Revise
DifferentialEquations
Distributions
DoubleFloats
FileIO
Flux
JuliaDB
JuMP with a solver
Juno
Lazy
MacroTools
NamedTupleTools
NLsolve
OnlineStats
Optim
OrderedCollections
Plots with GR and StatsPlots
RecipiesBase
SpecialFunctions
SaferIntegers
SQLite
StaticArrays
StatsBase
StatsModels
TimeSeries
TimeZones
Traceur
ValidatedNumerics

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