nealmcb

xkcd has some great t-shirts in the xkcd store. One of them, which I got in late 2014, is the uber-geeky "greek" shirt, though I don't see it in the official store right now.

For background, see Greek letters used in mathematics, science, and engineering (Wikipedia), though that doesn't have all the uses listed by Randall.

Here are the letters and uses presented on the shirt, row-by-row:

δ  delta: dirac & kronecker deltas; isotope ratio
ε  epsilon: a small number; strain; permittivity
ψ  psi: quantum wavefunction, the planet Neptune

η eta: impedance, viscosity, efficiency

nealmcb

nealmcb

 # just playing
   def self.pkg(platform, opt)
      # short time solution <start>
      extension = case platform
      when "win32" then
         "exe"
        when "linux" then
         "run"
        when "osx" then
         "dmg"

nealmcb

## Climate analysis R code based on Steve McIntyre's example at
##  http://camirror.wordpress.com/2009/11/29/replicating-the-trick-diagram/#more-130
## with some fixes by Neal McBurnett.
## Usage:  R --save < replicate_trick.r
##  which produces an "Rplots.ps" file
##COMPARE ARCHIVED BRIFFA VERSION TO CLIMATEGATE VERSION#

#1. LOAD BRIFFA (CLIMATEGATE VERSION)
# archive is truncated in 1960: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/n_hem_temp/briffa2001jgr3.txt”

nealmcb

Peter Lyons' notes on installing fgdb (Free Geek Database) from the trunk:
 git://git.freegeek.org:/git/fgdb.rb

Note that after running into some problems with that, we tried using the one at github which is close to version 1.0.30 of the main project, and that has been working better.

 http://wiki.github.com/markstos/fgdb.rb/

But for the record, here is the procedure we tried for the trunk version (about version 1.0.50):

-Installed Ubuntu Server 10.04 amd64 (Lucid)

nealmcb

#!/usr/bin/env python
"""
The testkernel command does these things to make linux kernel testing easy:
  looks in the indicated folder on the web
  downloads the .deb files for the kernel of the given type
  installs them locally
  configures grub2 to reboot to the given kernel on the next reboot

TODO:

nealmcb

This gist documents my OpenAI evaluations at

• https://gym.openai.com/evaluations/eval_bW731pNgS2i1dZB0JvojA [failed to solve]
• https://gym.openai.com/evaluations/eval_FrOsJ2oiRb2EB3oh5l5Lg [solved in 23 episodes]

I attempted to reproduce the quickest documented CartPole-v0 solution to-date, reporting 29 episodes to solve,by iaroslav-ai, documented at https://gym.openai.com/evaluations/eval_yCJkgBGRl2Nfn3TKbvkkg

I don't know why I had a different result the first time, or indeed why it was faster the second time.

I also saw it fail with a traceback:

nealmcb

"""pg-pong.py: Trains an agent with (stochastic) Policy Gradients on Pong.
Uses OpenAI Gym.
Saves model every 100 episodes.  Resume by setting resume = True
Set render = True to watch the action.

Modified from https://gist.github.com/karpathy/a4166c7fe253700972fcbc77e4ea32c5
to print timestamped self-contained progress rows in TSV format (filter
for just lines containing 'episode').

For background, see http://karpathy.github.io/2016/05/31/rl/

nealmcb

nealmcb