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const src = `data:image/png;base64,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
@Lekensteyn
Lekensteyn / inject-tls-secrets.py
Last active April 30, 2024 10:40
Extracts a subset of TLS secrets and injects them in an existing capture file (requires Wireshark 3.0).
#!/usr/bin/env python3
# Extracts a subset of TLS secrets and injects them in an existing capture file.
#
# Author: Peter Wu <peter@lekensteyn.nl>
import argparse
import os
import shlex
import subprocess
import sys
@zz85
zz85 / README
Last active August 31, 2018 07:00
OSX Terminal Shortcuts (/Working with Long Terminal Commands)
Movements
Esc - F (Forward a word)
Esc - B (Back a word)
Ctrl - A (Start of line)
Ctrl - E (End of line)
Ctrl - F (Next line)
Ctrl - B (Previous line)
Deletions

1:1 questions

Always end with an assignment

What can I hold you accountable for next time we talk?

What can I be accountable to you for the next time we talk?

Short term

How is [project] going? What could we do to make it better?

Is there anything blocking you from getting your work done?

Are there any projects you’d really like to work on if you were given the opportunity?

@zz85
zz85 / test.html
Last active June 21, 2016 01:51
Game API
<html>
<body>
<style>
body {
font-family: 'monospace';
font-size: 12px;
}
</style>
Hello Copter World!
<div id="debug"></div>
@zz85
zz85 / mesh_simplify.html
Last active November 7, 2023 02:10
Fast Quadric Mesh Simplification JS port
<!DOCTYPE html>
<html lang="en">
<head>
<title>three.js webgl - modifier - Fast Quadric Mesh Simplification</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, user-scalable=no, minimum-scale=1.0, maximum-scale=1.0">
<style>
body {
font-family: Monospace;
background-color: #f0f0f0;
@p01
p01 / live-coding-at-SG.html
Last active November 26, 2015 22:48
Live coding at Creative Coding Singapore
<style>
#b {
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: radial-gradient(circle, #000, #123);
}
@LeaVerou
LeaVerou / RAINBOWlog.js
Created March 12, 2014 23:30
AWESOMEify your console.log()ing! Because life is too short to be black & white!!!!!!1111one
(function(){
var log = console.log;
console.log = function(str) {
var css = 'background: linear-gradient(to right, red, yellow, lime, aqua, blue, fuchsia, red); color: white; font-weight: bold;';
var args = Array.prototype.slice.call(arguments);
args[0] = '%c' + args[0];
args.splice(1,0,css);
return log.apply(console, args);
}
@debasishg
debasishg / gist:8172796
Last active May 10, 2024 13:37
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t