using SSH:
- log in to AP:
$ ssh ubnt@<IP>
- default username & password:
ubnt
&ubnt
Command | Example | Function |
---|
Open PowerShell and type: | |
Standard Edition: | |
DISM /online /Set-edition:ServerStandard /ProductKey:N69G4-B89J2-4G8F4-WWYCC-J464C /AcceptEula | |
DataCenter Edition: | |
DISM /online /Set-edition:ServerDatacenter /ProductKey:WMDGN-G9PQG-XVVXX-R3X43-63DFG /AcceptEula |
File Name: en_windows_server_2019_x64_dvd_4cb967d8.iso | |
SHA256: 4C5DD63EFEE50117986A2E38D4B3A3FBAF3C1C15E2E7EA1D23EF9D8AF148DD2D | |
***This is not the evaluation version *** | |
What versions include in the ISO file : | |
Windwos Server 2019 standard, Windows Server 2019 datacenter,Windwos Server 2019 Standard 16/24 Core, Windows server 2019 Datacenter 16/24 core! | |
It can be also used to upgrade from Windows Server 2012 R2 to Server 2019 Version | |
Windows Server 2019 Retail ISO Download: | |
https://ln5.sync.com/dl/8354d2270/fcek48hp-txasa859-nmascbm8-gnvfjr27 |
Action Center.{BB64F8A7-BEE7-4E1A-AB8D-7D8273F7FDB6} | |
Backup and Restore.{B98A2BEA-7D42-4558-8BD1-832F41BAC6FD} | |
Credential Manager.{1206F5F1-0569-412C-8FEC-3204630DFB70} | |
Devices and Printers.{A8A91A66-3A7D-4424-8D24-04E180695C7A} | |
Display.{C555438B-3C23-4769-A71F-B6D3D9B6053A} | |
HomeGroup.{67CA7650-96E6-4FDD-BB43-A8E774F73A57} | |
Notification Area Icons.{05d7b0f4-2121-4eff-bf6b-ed3f69b894d9} | |
Recovery.{9FE63AFD-59CF-4419-9775-ABCC3849F861} | |
RemoteApp and Desktop Connections.{241D7C96-F8BF-4F85-B01F-E2B043341A4B} | |
Speech Recognition.{58E3C745-D971-4081-9034-86E34B30836A} |
## 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 |
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']) |
#!/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) |
#!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 |
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', |