pkmklong

import os
import math
import numpy as np
import pandas as pd
import time
from tqdm.notebook import tqdm

## Imports for plotting
import matplotlib.pyplot as plt
%matplotlib inline 

pkmklong

julia> using RCall
julia> using Statistics

julia> @rlibrary ggplot2

julia> crim_med = median(df[:CRIM])

julia> df[!, Symbol("CRIM_RATE")] .= ifelse.(
  df.CRIM .> crim_med, "HIGH", "LOW")

pkmklong

julia> using PyCall
julia> using DataFrames

# Load sklearn's Boston housing price dataset
julia> sk_datasets = pyimport("sklearn.datasets")
julia> boston = sk_datasets.load_boston()

julia> df = boston["data"] |> DataFrame
julia> cols = boston["feature_names"]
julia> names!(df, Symbol.(cols))

pkmklong

julia> using PyCall

julia> pushfirst!(PyVector(
    pyimport("sys")."path"), @__DIR__)

julia> mm = pyimport("mymodule.mymodule")

julia> mm.hello_world("Julia")
"Hello Julia"

pkmklong

mkdir mymodule; touch mymodule/__init__.py
echo 'def hello_world(name: str) -> str:
    return f"Hello {name}"' > mymodule/mymodule.py

pkmklong

julia> using PyCall

julia> pushfirst!(PyVector(
        pyimport("sys")."path"),@__DIR__)

julia> py"""
def hello_from_module(name: str) -> str:
    import mymodule.mymodule as mm
    return mm.hello_world(name)
   """

pkmklong

julia> x = 2.0

# pass x to python
julia> py"$x**2"
4.0

# pass x to R
julia> rcopy(R"$x^2")
4.0

pkmklong

julia> typeof(r_says_hi)
RObject{StrSxp}

julia> r_says_hi = rcopy(r_says_hi)

julia> typeof(r_says_hi)
String

pkmklong

# Install and import Rcall
julia> using Pkg
julia> Pkg.add("RCall")
julia> using RCall

# One liners
julia> R"print('Hello Julia')"
[1] "Hello Julia"
RObject{StrSxp}

pkmklong

# Install and import PyCall
julia> using Pkg
julia> Pkg.add("PyCall")
julia> using Pycall
 
# One liners
julia> py"print('Hello Julia')"
Hello Julia

# Multi-line