yenson-lau

using Arrow, DataFrames
using PyCall

"""
    Convert the Arrow bytestream into a DataFrame, process it, 
    and return the resulting DataFrame as a Python bytestream.
"""
function process_arrowbytes( bytes::Vector{UInt8} )::PyObject
    df = DataFrame(Arrow.Table(bytes))          # convert bytestream into a DataFrame
    result = process_dataframe( df )            # run some arbitrary function

yenson-lau

from julia.api import Julia
import pyarrow as pa

def process_dataframe_jl(df):
    """Process DataFrame in Julia; return the resulting DataFrame"""
    
    bytes = df_to_arrowbytes(df)                # convert df into Arrow bytestream
    
    jl = Julia(compiled_modules=False)          # create / get Julia instance
    jl.eval('include("process_dataframe.jl"')   # this script contains my Julia function

yenson-lau

function waitForElm(selector) {
    return new Promise(resolve => {
        if (document.querySelector(selector)) {
            return resolve(document.querySelector(selector));
        }

        const observer = new MutationObserver(mutations => {
            if ((document.querySelector(selector) !== undefined) && 
                (document.querySelector(selector) !== null)) {
                resolve(document.querySelector(selector));