Roy rm77

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

An Ubuntu WiFi Secure Captive Portal

Improvements, suggestions & fixes are welcome!

Captive portals can be a pain. Here's an opinionated and no-doubt entirely imperfect guide to setting one up for a WiFi access point on Ubuntu (tested on 20+), utilising Network Manager, DNSMasq, HA Proxy and (optionally) Let's Encrypt for a secure, locally hosted landing page.

_Note: This setup was originally designed for an offline WLAN, providing access to a small number of locally hosted domains ... think the WiFi media portal on a flight or boat. If you are looking to provide internet access behind a captive portal then this guide won't get you all the way there. That said, many routers have this capability built in, as do any number of open source router firmware solutions. So you probably don't need to roll your own. If you'd like to try anyway, Ha Proxy Stick Tables would probably come in handy. Very happy to update the guide with any p

Installation:

`

sudo add-apt-repository ppa:ettusresearch/uhd

sudo apt-get update

sudo apt-get install libuhd-dev libuhd003 uhd-host gnuradio

Real-world networking datasets

Please comment below if you have an update, e.g., with another networking-related dataset.

Dataset repos or tools

Finding datasets: New Google Dataset search
Mendeley Data: https://data.mendeley.com/datasets
Kaggle Data: https://www.kaggle.com/datasets
Google's M-Lab networking performance data sets: https://www.measurementlab.net/data/

	# Script for Ubuntu: Nvidia Multi-GPU Installation and Testing (Adaptable for other distros)

	# Step 0: Clean Nvidia Installation
	# If you need to completely remove a previous Nvidia installation, use these commands.
	# This ensures that you start with a clean slate for a new installation.
	sudo apt-get --purge remove "nvidia"
	sudo apt-get --purge remove "cuda" "cudnn" "cublas" "cufft" "cufile" "curand" "cusolver" "cusparse" "gds-tools" "npp" "nvjpeg" "nsight" "nvvm" "libnccl*"

	# Verify that the removal is complete by checking if any Nvidia, CUDA, or cuDNN packages are still installed.
	apt list --installed \| grep cuda

	#!/bin/busybox sh

	# 1) Download a prebuilt BusyBox binary here:
	# https://busybox.net/downloads/binaries/
	#
	# 2) Prepare your kernel
	# cp /boot/vmlinuz vmlinuz
	#
	# 3) Copy the files
	# install -Dm0755 busybox-x86_64 initramfs/bin/busybox

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	#!/bin/bash
	set -xe

	# $0 host dev remote_ip
	# host is 1 or 2
	# on vmA
	# ./mk-vx.sh 1 ens3 10.10.10.9
	# on vmB
	# ./mk-vx.sh 2 ens3 10.10.10.15

	func ip2int(ip net.IP) uint32 {
	if len(ip) == 16 {
	return binary.BigEndian.Uint32(ip[12:16])
	}
	return binary.BigEndian.Uint32(ip)
	}

	func int2ip(nn uint32) net.IP {
	ip := make(net.IP, 4)
	binary.BigEndian.PutUint32(ip, nn)