JamesIgoe

        public static async Task<bool> PostInfoAsync<T>(string url, T request, string apiKey)
        {
            try
            {
                byte[] reqString = Encoding.Default.GetBytes(JsonConvert.SerializeObject(request, Newtonsoft.Json.Formatting.None));

                using HttpClient client = new();
                client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
                client.DefaultRequestHeaders.Add("Referer", Environment.MachineName);

JamesIgoe

import pandas as pd
import json

memberChange = []

for email in df_add.values:
        try:
              if email:
                memberChange.append({'Email': email[0], 'MemberName': '', 'MemberType': 'Person', 'Action': 'Add'})
        except:

JamesIgoe

//using System.Net.Http
//using System.Net.Http.Headers

public async Task<T> GetInfoAsync<T>(string url, string apiKey, string referer)
{
    try
    {
        using (HttpClient client = new HttpClient(new HttpClientHandler() { UseDefaultCredentials = true }))
        {
            client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("X-API-KEY", apiKey);

JamesIgoe

using CitrixSessionManagement;
using Microsoft.OpenApi.Any;
using Microsoft.OpenApi.Models;
using Swashbuckle.AspNetCore.SwaggerGen;
using System;
using System.ComponentModel.DataAnnotations;
using System.IO;
using System.Linq;
using System.Reflection;
using System.Reflection.Metadata;

JamesIgoe

import os
os_name = os.sys.platform

pc_download_folder = '//tbd.../'
mac_download_folder = '/tbd.../'

file_name = 'tbd.csv'

#Mac or PC Path
if os_name == 'darwin':

JamesIgoe

Public Class ConsoleSpinner
    Private counter As Integer

    Public Sub New()
        counter = 0
    End Sub

    Public Sub Turn(userText As String)

        counter += 1

JamesIgoe

def filterForLabels(df: pd.DataFrame, label) :
    try:
        sideLeft = df[label,]
    except:
        sideLeft = pd.DataFrame()

    try:
        sideRight = df[:,label]
    except:
        sideRight = pd.DataFrame()

JamesIgoe

#requires pandas and numpy
def corrFilter(x: pd.DataFrame, bound: float):
    xCorr = x.corr()
    xFiltered = xCorr[((xCorr >= bound) | (xCorr <= -bound)) & (xCorr !=1.000)]
    xFlattened = xFiltered.unstack().sort_values().drop_duplicates()
    return xFlattened

JamesIgoe

@Styles.Render("~/Content/css")
@Scripts.Render("~/bundles/modernizr")
@Scripts.Render("~/bundles/jquery")

<style>
</style>

<script>
    (function () {

JamesIgoe

function postMessageXhr() {
    var xhr = new XMLHttpRequest();
    xhr.open("POST", "", true);
    xhr.setRequestHeader('Content-Type', 'application/json');
    xhr.send(JSON.stringify({
        ApplicationName: "",
        ComputerName: "",
        OperatingSystem: "",
        UserName: "",