Julia v1.0 has been released

Post by phkahler » Thu, Aug 09, 2018, 12:55 PM UTC

chriselrod wrote: post #26

collinf wrote: post #15

Earlier quoted context omitted.

My only fleeting experience with Julia is in a Numerical Analysis Course three years ago... but it has 1-indexed arrays so its good for scaring away all people who are programmers before analysts/scientists! Really though, I think it has a better type system and a syntax that translates easier to mathematical expressions. Other than that, Python's breadth of packages will be hard to overcome.

I know it is not the default, but this package has no overhead over the default arrays according to recent benchmarks, and provides 0-indexed arrays: https://github.com/JuliaArrays/OffsetArrays.jl I confess, not being the default is a big thing. I've definitely had times where I thought "this would be easier with 0 indexed arrays", but it can then be harder to commit to adding a dependency and making that change vs j…

Post by FridgeSeal » Fri, Aug 10, 2018, 2:28 AM UTC

mindB wrote: post #47

FridgeSeal wrote: post #35

Earlier quoted context omitted.

If there were pandas, sklearm and Keras equivalents (don’t even need feature compleye, just mostly there) I would abandon python literally today.

- pandas :: your choice of DataFrames or JuliaDB - scikitlearn :: no single package since skl is a meta-package of sorts, but most of the stuff is there spread across the eco-system - Keras :: checkout Flux or Mocha Welcome to Julia! Also take a look here [1] for more package that might be to your interest. [1] https://github.com/svaksha/Julia.jl/blob/e305195ab60e6859e78...