PySyntax

This package is deprecated:

• JuliaLang/julia#1974 ("allow overloading of a.b field access syntax") has been fixed with the merging of JuliaLang/julia#24960;
• The dot-overloading functionality it enabled has since been implemented in PyCall.jl, with the merge of JuliaPy/PyCall.jl#517.

PySyntax.jl enables using Python-like syntax in Julia. It provides a light wrapper on top of PyCall.jl, in the form of a macro.

Within Julia, just use the package manager to run Pkg.clone("https://github.com/kdheepak/PySyntax.jl") to install the files. Julia 0.5 or later is recommended.

In a session, type the following to export the @py macro.

using PySyntax

The @py macro allows Python-like syntax

@pyimport pandas as pd
df = pd.DataFrame(
    Dict(
        "name"=>["John", "Jane", "Zack", "Zoey"],
        "salary"=>[100000, 100000, 100000, 100000]
        )
)
@py df = df.set_index("name")
@py df["John":"Jane"]

See notebooks for examples. See JuliaPy/PyCall.jl#86 for the discussion on this subject.

Improvements, suggestions or contributions welcome!