JuliaAcademy / JuliaAcademy/DataScience

Packages not added correctly

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Jupyter Notebook
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Description

Having followed the instructions of th "Getting started..." video and then using the "01. Data" notebook is not enough for setting up the packages and dependencies.
When running:

using RData
R_data = RData.load("data/mytempdata.rda")
# We'll need RCall to save here. https://github.com/JuliaData/RData.jl/issues/56
using RCall
@rput R_data
R"save(R_data, file=\"mywrite.rda\")"

The following error appears:

└ @ Base loading.jl:1662
ERROR: LoadError: RCall not properly installed. Please run Pkg.build("RCall")
Stacktrace:
 [1] error(s::String)
   @ Base .\error.jl:35
 [2] top-level scope
   @ C:\Users\dslaifstein\.julia\packages\RCall\6kphM\src\RCall.jl:36
 [3] include
   @ .\Base.jl:419 [inlined]
 [4] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt64}}, source::Nothing)
   @ Base .\loading.jl:1554
 [5] top-level scope
   @ stdin:1
in expression starting at C:\Users\dslaifstein\.julia\packages\RCall\6kphM\src\RCall.jl:2
in expression starting at stdin:1
Failed to precompile RCall [6f49c342-dc21-5d91-9882-a32aef131414] to C:\Users\dslaifstein\.julia\compiled\v1.8\RCall\jl_BAC3.tmp.

Stacktrace:
  [1] error(s::String)
    @ Base .\error.jl:35
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base .\loading.jl:1705
  [3] compilecache
    @ .\loading.jl:1649 [inlined]
  [4] _require(pkg::Base.PkgId)
    @ Base .\loading.jl:1337
  [5] _require_prelocked(uuidkey::Base.PkgId)
    @ Base .\loading.jl:1200
  [6] macro expansion
    @ .\loading.jl:1180 [inlined]
  [7] macro expansion
    @ .\lock.jl:223 [inlined]
  [8] require(into::Module, mod::Symbol)
    @ Base .\loading.jl:1144
  [9] eval
    @ .\boot.jl:368 [inlined]
 [10] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
    @ Base .\loading.jl:1428

also applies for the rest of the packages that use HDF5, because apparently there's an issue with the version declared in the manuscript and the one in the base environment.

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the 01. Data notebook and its setup instructions, then compare the manuscript's declared versions with the base environment for RCall and HDF5-related packages. Done means a fresh learner can run the shown RData/RCall example and the other HDF5-using packages after following the documented setup.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
developer-experience
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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