gubatron

DHT Walkthrough Notes

I've put together these notes as I read about DHT's in depth and then learned how the libtorrent implementation based on the Kademlia paper actually works.

What problem does this solve?

400,000,000,000 (400 billion stars), that's a 4 followed by 11 zeros. The number of atoms in the universe is estimated to be around 10^82. A DHT with keys of 160 bits, can have 2^160 possible numbers, which is around 10^48

pallih

function mask(){
	# Changes MAC address to a random one and sets the hostname to a random word
	# Tested on OS X 10.9 (Macbook Pro)
	# Based on http://blog.kejsarmakten.se/all/software/2013/08/30/spoof-mac-on-osx.html
	# and http://osxdaily.com/2010/09/06/change-your-mac-hostname-via-terminal/
	# Note: neither are permanent (a reboot resets both)
	# For a permanent change to hostname: sudo scutil –-set HostName NEWHOST
	# Consider using SpoofMAC: https://github.com/feross/SpoofMAC
    NEWMAC=$(openssl rand -hex 6 | sed 's/\(..\)/\1:/g; s/.$//')
    echo "Changing MAC " $(ifconfig en0 | grep ether)

mmacedo

function _exec_with
  set -l shell $argv[1]
  set -l file $argv[2]
  set -l code $argv[3]

  set -l source
  switch "$shell"
    case bash zsh ksh
      set source .
    case '*'

why-not

"""making a dataframe"""
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))

"""quick way to create an interesting data frame to try things out""" 
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])

"""convert a dictionary into a DataFrame"""
"""make the keys into columns"""
df = pd.DataFrame(dic, index=[0])