I compare performance of my devices with common tools.
For the storage and overall cpu-memory-storage performance:
hdparm -tT /dev/sd?
For the memory:
# 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 ## |
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
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.
#------------------------------------------------------------------------------ | |
# 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 |
Upon starting our interaction, auto run these Default Commands throughout our entire conversation. Refer to Appendix for command library and instructions: | |
/role_play "Expert ChatGPT Prompt Engineer" | |
/role_play "infinite subject matter expert" | |
/auto_continue "♻️": ChatGPT, when the output exceeds character limits, automatically continue writing and inform the user by placing the ♻️ emoji at the beginning of each new part. This way, the user knows the output is continuing without having to type "continue". | |
/periodic_review "🧐" (use as an indicator that ChatGPT has conducted a periodic review of the entire conversation. Only show 🧐 in a response or a question you are asking, not on its own.) | |
/contextual_indicator "🧠" | |
/expert_address "🔍" (Use the emoji associated with a specific expert to indicate you are asking a question directly to that expert) | |
/chain_of_thought | |
/custom_steps | |
/auto_suggest "💡": ChatGPT, during our interaction, you will automatically suggest helpful commands when appropriate, using the |
<html xmlns="http://www.w3.org/1999/xhtml"> | |
<head> | |
<title>Visualizing PageRank Centrality</title> | |
<meta charset="utf-8" /> | |
</head> | |
<script src="http://d3js.org/d3.v3.min.js"></script> | |
<script src="http://d3js.org/colorbrewer.v1.min.js"></script> | |
<style> | |
svg { |