Use Python REPL in Julia

Installation

Make sure PyCall.jl work well before installation, then (v1.0) pkg> add https://github.com/229668880/Python.jl.git Python.jl can work with Julia 1.0 and Python 3 on Windows.

Usage

Python.jl is only based on PyCall.jl, and help to use Python native codes freely (include plotting with matplotlib) in Julia REPL or provide Python REPL as you do in Python command-line interface. Python.jl will work properly if Pycall.jl works well with Python. It doesn't need any more installation and configuration.

Run using Python and start Python at backend, then:

1. Julia REPL: use macro @py python_codes to run Python codes, or @py variable_name to show the value of a variable in Python. Since PyCall.jl has been imported, you can embed py"a" in any codes to use the value of a which is created in Python by @py a=100, e.g. py"a"*1000 in Julia REPL.

2. Python REPL: type Ctrl+) in empty julia> to enter Python REPL, and input any Python codes as you do in in Python command-line interface. You can switch back to Julia REPL by backspace.

3. Transfer data between two REPL: In Julia REPL, use a=py[:b] to copy b in Python to a in Julia, and py[:c]=d to copy d in Julia to c in Python. Operations like 100*py[:b] are allowed. In Python REPL, $d+100 causes the same effect.

4. Plotting: After using Python initializes, Python codes from matplotlib.pylab import * and import matplotlib.pyplot as plt have been executed in Python backend,so you can plot with typingplot(randn(100)). Plotting functionalities are only based on PyCall.jl, independent of PyPlot.jl, and let you plot freely as in IPython. Python.jl works well with Qt5, and maybe need show() function to display plotting window for unknown reason.

Note: If plotting doesn't work, try to pip3 install pyqt5 and make sure Qt5 is your plotting backend in Python. If there is any unpredicted errors, try using PyCall before your operation.

Requirements

Julia

• PyCall.jl

Python

• Any version of Python that makes PyCall.jl work properly.