Doh. Obfuscate the code quick, before anyone uses it! This is very nice and something I've always felt like we need for data formats like CSV – a way of decoupling the parsing of the format from the populating of a data structure with that data. It's a tough problem.
On Mon, Dec 8, 2014 at 8:08 AM, Tom Short <tshort.rli...@gmail.com> wrote: > Exciting, John! Although your documentation may be "very sparse", the code > is nicely documented. > > On Mon, Dec 8, 2014 at 12:35 AM, John Myles White < > johnmyleswh...@gmail.com> wrote: > >> Over the last month or so, I've been slowly working on a new library that >> defines an abstract toolkit for writing CSV parsers. The goal is to provide >> an abstract interface that users can implement in order to provide >> functions for reading data into their preferred data structures from CSV >> files. In principle, this approach should allow us to unify the code behind >> Base's readcsv and DataFrames's readtable functions. >> >> The library is still very much a work-in-progress, but I wanted to let >> others see what I've done so that I can start getting feedback on the >> design. >> >> Because the library makes heavy use of Nullables, you can only try out >> the library on Julia 0.4. If you're interested, it's available at >> https://github.com/johnmyleswhite/CSVReaders.jl >> >> For now, I've intentionally given very sparse documentation to discourage >> people from seriously using the library before it's officially released. >> But there are some examples in the README that should make clear how the >> library is intended to be used. >> >> -- John >> >> >
