IPyCells

IPyCells provides parametric cell-based functionality, as well as readers and writers for different cell formats (Ipynb, JL), as well as offering the option to extend the cells via parametric typing. This module provides

cells

• AbstractCell
• Cell(n::Int64, type::String, content::String, outputs::Any = ""; id::String = "")
• string(Cell{<:Any})
• string(cell::Cell{:md})
• string(cell::Cell{:doc})
• getindex(v::Vector{Cell{<:Any}}, s::String)

read/write

• read_plto(uri::String)
• read_jlcells(uri::String)
• read_jl(uri::String)
• save(cells::Vector{<:AbstractCell}, path::String)
• save_ipynb(cells::Vector{<:AbstractCell}, path::String) (this does not work just right yet) cells are readable by Olive, not jupyter post-save.
• read_ipynb(f::String)
• ipyjl(ipynb_path::String, output_path::String)

(internal)

• plto_cell_lines(uri::String)
• sep(content::Any)

Adding

julia> ]
pkg> add IPyCells

Usage

There are many ways to use IPyCells -- This package could be used to convert Pluto notebooks into Olive notebooks, IPython notebooks into Julia notebooks. Currently, the ipynb save method will break your .ipynb files where IJulia cannot read them, Olive eventually this is planned to be fixed. Anyway, this package could be used to read any package and save it into (currently) ipynb or julia.

ipynbjl("ipynbtestbook.ipynb", "example.jl")

cells = read_ipynb
save_jl(cells)

This preserves both the output and markdown. Alternatively, you could write functions around cells enabling for different cell types to be read by this reader.