This is great, congrats!
I’d be curious about a roadmap. Is this essentially ready to replace DataArrays at this point? Is there much todo before DataFrames will use this by default? Should packages like ExcelReaders switch from DataArrays to this already, or wait? I did see this https://github.com/JuliaStats/NullableArrays.jl/issues/1, but that seems outdated. Thanks, David From: julia-users@googlegroups.com [mailto:julia-users@googlegroups.com] On Behalf Of David Gold Sent: Saturday, September 19, 2015 10:38 AM To: julia-users <julia-users@googlegroups.com> Subject: [julia-users] ANN: NullableArrays.jl package I'm happy to announce that a tagged and registered beta release of NullableArrays.jl <https://github.com/JuliaStats/NullableArrays.jl> is now available for use with the Julia 0.4 release candidates. This is the latest stage of my work for the Julia Summer of Code '15 program, and I hope to continue to be involved in its development. I'd be remiss not to thank Alan Edelman's group at MIT, NumFocus, and the Gordon & Betty Moore Foundation for their financial support, John Myles White for his mentorship and guidance, and many others of the Julia community who have helped to contribute both to the package and to my edification as a programmer over the summer. NullableArrays.jl provides the NullableArray{T, N} type, which is a "struct-of-array" alternative to Array{Nullable{T}, N}. Our main concern in developing this package has been to replace DataArrays.jl in providing support for the representation of missing values in statistical computing. However, the NullableArray type should be useful in any implementation that would otherwise involve an Array of Nullable objects, since its struct-of-array design allows for a number of optimizations. The NullableArray type takes advantage of the AbstractArray interface and the package includes specialized implementations for methods such as map, reduce, broadcast, and a number of Vector-specific methods. Documentation is currently available in the README and through the Julia REPL's help mode, with centralized online documentation coming shortly. I welcome you all to try out the package, file bug reports and feature requests, and, if you are so inclined, submit PRs. Happy coding! David
