sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)"
- Download zsh-autosuggestions by
#------------------------------------------------------------------------------ | |
# Top 20K hashes from the Troy Hunt / haveibeenpwned Pwned Passwords list v2 (2018-02-21) | |
# with frequency count and cracked plaintext passwords | |
# | |
# The latest version of this file can be found here: | |
# https://gist.github.com/roycewilliams/281ce539915a947a23db17137d91aeb7 | |
# | |
# NOTE: THIS FILE IS DEPRECATED. | |
# The equivalent of this file, but based on v6 of the Pwned Passwords, is here: | |
# https://gist.github.com/roycewilliams/226886fd01572964e1431ac8afc999ce |
The purpose of this document is to make recommendations on how to browse in a privacy and security conscious manner. This information is compiled from a number of sources, which are referenced throughout the document, as well as my own experiences with the described technologies.
I welcome contributions and comments on the information contained. Please see the How to Contribute section for information on contributing your own knowledge.
A collection of awesome penetration testing resources.
Penetration testing is the practice of launching authorized, simulated attacks against computer systems and their physical infrastructure to expose potential security weaknesses and vulnerabilities.
Your contributions and suggestions are heartily♥ welcome. (✿◕‿◕). Please check the Contributing Guidelines for more details. This work is licensed under a Creative Commons Attribution 4.0 International License.
This project is supported by Netsparker Web Application Security Scanner
# Naive Bayes | |
# Importing the libraries | |
import numpy as np ## scientific comutaion | |
import matplotlib.pyplot as plt ## Visulization | |
import pandas as pd ## Reading data | |
# Importing the dataset | |
dataset = pd.read_csv('https://raw.githubusercontent.com/shivang98/Social-Network-ads-Boost/master/Social_Network_Ads.csv') ## Reading data from the url | |
X = dataset.iloc[:, [2, 3]].values ## |
DELETE ME - Must create a new gist with an initial file |
#!/bin/bash -e | |
# /usr/local/sbin/raspi-monitor | |
# Script to enable and disable the HDMI signal of the Raspberry PI | |
# Inspiration: http://www.raspberrypi.org/forums/viewtopic.php?t=16472&p=176258 | |
CMD="$1" | |
function on { | |
/opt/vc/bin/tvservice --preferred |