This package is under development and anything might change at any time. It also currently doesn't work on any release version of Julia, except for 0.5.2.
PythonSyntax.jl is a little like LispSyntax.jl, where this package gets its inspiration. But this isn't lisp syntax, it's Python syntax.
You need to use Python 3 with, e.g. by (and then restarting Julia after):
ENV["PYTHON"] = "/usr/bin/python3" Pkg.build("PyCall")
The easiest way to use this package is to define modules:
using PythonSyntax pymodule""" FizzBuzz def fizzbuzz(n): # this is still Julia, even though it looks like Python! # so range includes 1 and has length n — very different from Python. for i in range(1, n): if i % 15 == 0: println("FizzBuzz") elif i % 3 == 0: println("Fizz") elif i % 5 == 0: println("Buzz") else: println(i) """ FizzBuzz.fizzbuzz(10)
Remember: this is Julia, not Python. The syntax is Pythonic but the semantics are Julian.
Some identifiers are rewritten. Currently, the only rewriting is that
_b suffixes in Python get mapped to
! suffixes in Julia.
PythonSyntax introduces some magic syntax that is unlike anything else in the Python language.
__jl__("2:2:10")escapes to Julia syntax. This can be useful if something has no clean way of being expressed pythonically. Note that this is not a runtime method: only string literals, and not strings computed at runtime, can be used.
__mc__(time, [i**2 for i in range(1, 10)])allows calling Julia macros. Any number of arguments can be provided; they are given to the macro as expressions and are not evaluated, exactly as in Julia.
about 2 months ago