IO and interoperation for Julia. Closely related: Julia GUIs and networking.
See the API list
Sort of easy, but there is a tedious need to define the call signature at call time. Survivable.
This package provides an interface from R to Julia, based on the XR structure, as implemented in the XR package, in this repository.
rJulia provides an interface between R and Julia. It allows a user to run a script in Julia from R, and maps objects between the two languages.
tl;dr: For fish
conda create -n conda_jl python nomkl conda activate conda_jl env CONDA_JL_HOME="$HOME/miniconda3/envs/conda_jl" \ CONDA_JL_VERSION=3 \ PYTHON=(which python) \ JUPYTER=(which jupyter) \ julia using Pkg Pkg.add("IJulia") Pkg.resolve() Pkg.build()
Taking that apart:
PyCall.jl invokes python. Per default it installs yet another conda python, via Conda.jl, and defaults to the elderly python 2.7. This is irritating for various reasons, such as being ancient, and eating your diskspace with yet more versions of the same stuff that you already have installed in even more decrepit a state.
Here is how to use an existing version:
Here is how you use Conda, but with python 3:
Here is how you use an existing environment
conda create -n conda_jl python export CONDA_JL_HOME=~/miniconda3/envs/conda_jl julia -e 'Pkg.build("Conda")'
Either way you should regularly run conda clean to stop your disk filling up with obsolete versions of obscure dependencies for that package you tried out that one time as per standard practice.
conda clean -pt
The names are nearly all self explaining
- Matlab? mat.jl
- ProtoBuf.jl does ProtoBuf
- FlatBuffers (like Protobuf but fast, no copying/unpacking)
- Feather.jl (access to the apache arrow format used to schange dataframes)
- Rdata.jl does R
- HDF5.jl - see also JLD2.jl which writes a simple HDF5 subset.
- MsgPack.jl (MsgPack is a binary JSON competitor made famous by zerorpc)
- Query.jl provides a LINQ-type query interface to pretty much all the data sources you can imagine anyone having bothered to implement – including ODE solvers (!?) and various databases.
- BigArrays.jl provides an array interface over databases, seemingly targetting out-of-memory mathematics