Conda.jl is awesome, and important for ScikitLearn.jl, thank you for your work on it. I hope you find someone, but I'll step in if you don't.
On Monday, September 5, 2016 at 12:08:31 PM UTC-4, wookyoung noh wrote: > > Hello, Luthaf > > It's sad that you're leaving for a while. > I wish to you would come back early. > > Thanks. > > Best regards, > WooKyoung Noh > > On Monday, September 5, 2016 at 9:46:33 PM UTC+9, Luthaf wrote: >> >> Hi, >> >> Yes, I may try again to use it when the ecoystem and the languages are a >> bit more stable. >> I am OK with the JuliaPy organization, but Conda.jl can also be used for >> pure C/C++/Fortran dependencies, without any link to Python. >> >> -- >> Luthaf >> >> >> Viral Shah a écrit : >> >> Hi Luthaf, >> >> Sorry to hear that you are not using Julia anymore. Hopefully you will >> come back in the future. >> >> I am wondering if we should create a JuliaPy organization and move many >> important building blocks and python wrapper packages there, if the various >> authors think it is a good idea. >> >> -viral >> >> >> On Monday, September 5, 2016 at 3:19:54 PM UTC+5:30, Luthaf wrote: >>> >>> Hi Julians! >>> >>> I am the author and currently only maintainer of the Conda.jl package. >>> This package is a thin wrapper on top of the `conda` package manager, >>> well known in the Python community. >>> This package bring to Julia the ability to install native (binary) and >>> Python dependencies in a cross-platform way, without any administrative >>> rights. It is used by the PyCall.jl package to install Python if no >>> other installation is found, and a lot of other packages with complex >>> dependencies. As such, Conda.jl gets around 200 downloads a day, and is >>> an important builiding block of the Julia ecosystem, especially on >>> Windows. >>> >>> Unfortunatly, as I am not using Julia anymore, I do not have much time >>> to continue maintaining this package, and I'd like to someone else to >>> take over this repository. >>> >>> I plan to stay around for 6 month helping the new maintainer(s?) to work >>> with the code. The code itself is very simple, less than 300 lines of >>> code. This code do not need specific knowledge, only to read the >>> documentation of `conda`. A bit of understanding of native libraries and >>> dependencies can help, but can be aquired on the fly. >>> >>> If you want to help, or are just want to get more informations, please >>> contact me by email at [email protected]. >>> >>> Best regards, >>> -- >>> Luthaf >>> >> >>
