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Microsoft Windows and Office KMS Setup

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## Find Available Target Editions
DISM.exe /Online /Get-TargetEditions

## Convert Server Standard 2019 Evaluation to Server Standard 2019
DISM /online /Set-Edition:ServerStandard /ProductKey:N69G4-B89J2-4G8F4-WWYCC-J464C /AcceptEula

## How To Activate 
slmgr /ipk XXXXX-XXXXX-XXXXX-XXXXX-XXXXX
slmgr /skms [server]:[port]
slmgr /ato

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import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc 
import dash_html_components as html

from pandas_datareader import data as web 
from datetime import datetime as dt

app = dash.Dash('Hello World',
                external_stylesheets=['https://codepen.io/chriddyp/pen/bWLwgP.css'])

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#!/usr/bin/env python
import os, os.path, stat, sys, base64

# TOTP lib inlined
import time, hmac, base64, hashlib, struct


def pack_counter(t):
    return struct.pack(">Q", t)

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#!python3
'''
This is a demo of how you can use the CoreML framework (via objc_util) to classify images in Pythonista. It downloads the trained 'MobileNet' CoreML model from the Internet, and uses it to classify images that are either taken with the camera, or picked from the photo library.
'''

import requests
import os
import io
import photos
import dialogs

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wisp_labs = [
'Branch_Threat_Defense_Module-1-lab-guide-2.pdf',
'CLUS16_LABACI-1010_NXOSStyleCli_v1.0.pdf',
'CLUS16_LABACI-1010_NXOSStyleCli_v1.1.pdf',
'CLUS16_LABNMS1005.pdf',
'CLUS16_LABNMS2005.pdf',
'CLUS16_WISP_LABSEC1012_GUIDE.pdf',
'COLLAB-EDGE2.pdf',
'COLLAB-EDGE2_e6OBlFf.pdf',
'COLLAB-EDGE2_jmKXa9L.pdf',

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from concurrent.futures import ThreadPoolExecutor
pool = ThreadPoolExecutor(100)

url = "http://d2zmdbbm9feqrf.cloudfront.net/2016/usa/pdf/{}.pdf"

sessions = [
dict(name = "ACI 1.2 CLI Configuration",
session_id = "LABACI-1010"),

dict(name = "ACI - Application Deployment with External Connectivity",

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'''
GNS3_auto_ip_script
author: [email protected]

Automatically generate and apply basic IP addressing config for a GNS3 dynamips topology.

Example: a network consisting of R1---R2---R3.

Using the script, the links will be numbered as:

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