rueedlinger

#!/bin/bash

USER=rueedlinger
REPO=autoencoder-tf
NBVIEWER_LINK="https://nbviewer.jupyter.org/github/$USER/$REPO/blob/master"

quit() {
    echo "Quit export notebook script!"
    exit 1
}

rueedlinger

Pulumni with MinIO

Notes for using Pulumni and store the deployed state to MinIO (s3)

• Pulumni CLI
• MinIO Docker

Start MinIO, log in with minioadmin:minioadmin and create the bucket my-bucket.

docker run -p 9000:9000 -p 9001:9001 quay.io/minio/minio server /data --console-address ":9001"

rueedlinger

#!/bin/bash

DIR_NOTEBOOKS="notebooks"
FORMAT="markdown"

NBVIEWER_LINK="https://nbviewer.jupyter.org/github/rueedlinger/machine-learning-snippets/blob/master"

quit() {
    echo "quit export notebook script!"
    exit 1

rueedlinger

name: Build and Publish Hugo Site (MASTER)
on:
  push:
    branches: 
      - master
jobs:
  build:
    name: Publish Hugo Site (MASTER)
    runs-on: ubuntu-latest
    steps:

rueedlinger

import sys
import os
import json
import argparse

PYTHON_MAJOR_VERSION = sys.version_info.major
DEFAULT_HOST = 'localhost'
DEFAULT_PORT = '8083'
BASE_PATH = '/connectors'

rueedlinger

import numpy as np

n = list(range(1, 43))
g = list(range(1, 7))

for i in range(1,15):
    l = sorted(np.random.choice(n, 6, replace=False))
    print(i, '-> ', l , " - ", np.random.choice(g,1))

rueedlinger

#!/bin/bash
fswebcam -r 800x600 input.jpg 

rueedlinger

Import-Module ActiveDirectory
$ADSearchBase = "OU=Employees,OU=Users,OU=XYZ,DC=ads,DC=XYZ,DC=com"
$OutFile = "C:\tmp\ad_export.csv"
Get-ADUser -filter * -properties GivenName,Surname,CN,Title,Department,Country,City,EmailAddress,whenCreated -SearchBase $ADSearchBase | select GivenName,Surname,CN,Title,Department,Country,City,EmailAddress,whenCreated | Export-Csv $OutFile -NoTypeInformation -Encoding "UTF8"