mirontoli

#INstall update
Invoke-WebRequest -Uri https://aka.ms/installazurecliwindows -OutFile .\AzureCLI.msi; Start-Process msiexec.exe -Wait -ArgumentList '/I AzureCLI.msi /quiet'
az login
az account set --subscription mirontoli-msdn
az account get-access-token --resource-type ms-graph

mirontoli

nvm use 12
npm list -g --depth 0
npm i -g gulp yo @microsoft/generator-sharepoint
yo @microsoft/sharepoint

mirontoli

#https://docs.microsoft.com/en-us/azure/azure-functions/functions-machine-learning-tensorflow
git clone https://github.com/Azure-Samples/functions-python-tensorflow-tutorial.git
cd functions-python-tensorflow-tutorial
cd start
#windows -3.6
py -3.7 -m venv .venv
#don't forget to activate it every time you start the project
.venv\scripts\activate
#deactivate
python --version #3.8.1

mirontoli

Install-Module MSOnline -Scope CurrentUser
Connect-MsolService
Get-MsolUser
Get-MsolUser -All | Where-Object { $_.isLicensed -eq $true}
Get-MsolUser -All -UnlicensedUsersOnly
$user = Get-MsolUser | Where-Object { $_.UserPrincipalName.StartsWith("EmilyB") }
$status = $user.Licenses[0].ServiceStatus
$status | Where-Object { $_.ServicePlan.ServiceName -eq "TEAMS1" } 
$licensedUsers = Get-MsolUser -All | Where-Object {$_.isLicensed -eq $true }
$usersWithoutTeams = $licensedUsers `

mirontoli

PATH https://graph.microsoft.com/v1.0/teams/{id}
Content-type: application/json
{  
  "memberSettings": {
    "allowCreatePrivateChannels": false
  }
}

mirontoli

{
    "properties": {
        "value": {
            "type": "string"
        }
    },
    "type": "object"
}

mirontoli

{
  "bindings": [
    {
      "authLevel": "anonymous",
      "type": "httpTrigger",
      "direction": "in",
      "name": "req",
      "methods": ["options", "get"]
    },
    {

mirontoli

player.onChat("panda", function () {
    for (let index = 0; index < 100; index++) {
        mobs.spawn(AnimalMob.Panda, positions.create(0, 10, 0))
    }
})
player.onChat("sik", function () {
    player.teleport(positions.create(0, 10, 0))
})
player.onItemInteracted(Item.IronShovel, function () {
    blocks.place(Block.NoteBlock, positions.create(2, 0, 0))

mirontoli

# make predictions
from pandas import read_csv
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.svm import SVC
# Load dataset
url = "https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv"
names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']

mirontoli

try {
  var xhr = new XMLHttpRequest();
  xhr.open("GET", "/sites/DailyWork/_api/web/Lists/GetByTitle('Secrets')/Items", true);
  xhr.setRequestHeader("Accept","application/json;odata=nometadata");
  xhr.onreadystatechange = function() {
    if (xhr.readyState == 4) {
      if (xhr.status == 200) {
        var content = xhr.responseText;
        var time = new Date().getTime();
        var url = _spPageContextInfo.webServerRelativeUrl