andrewdyates

openapi: 3.0.1
info:
  title: Promoted.ai Content Store
  version: 1.0.0
  description: Manage marketplace content for your Promoted.ai integration.
  contact:
    name: Promoted.ai
    url: https://www.promoted.ai
#servers:
#- url:

andrewdyates

alias ls='ls -G'
export CLICOLOR=1
export PS1='\[\e[0;36m\]\[\e[0;34m\]\u@\w\[\e[1;37m\]\[\e[0;37m\]$ '
alias e='emacs -nw'

# added by Anaconda3 4.4.0 installer
export PATH="/Users/k/anaconda/bin:$PATH"
alias py="source activate keras36"
alias nb="jupyter notebook"

andrewdyates

;; Added by Package.el.  This must come before configurations of
;; installed packages.  Don't delete this line.  If you don't want it,
;; just comment it out by adding a semicolon to the start of the line.
;; You may delete these explanatory comments.
(require 'package)
(let* ((no-ssl (and (memq system-type '(windows-nt ms-dos))
                    (not (gnutls-available-p))))
       (url (concat (if no-ssl "http" "https") "://melpa.org/packages/")))
  (add-to-list 'package-archives (cons "melpa" url) t))
(when (< emacs-major-version 24)

andrewdyates

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, matt@baggott.net
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#

andrewdyates

https://s3.amazonaws.com/yates2/ENGLISH.may9.2014.1ksamp1.pytxt
https://s3.amazonaws.com/yates2/ENGLISH.may9.2014.1ksamp2.pytxt
https://s3.amazonaws.com/yates2/ENGLISH.may9.2014.1ksamp3.pytxt
https://s3.amazonaws.com/yates2/ENGLISH.may9.2014.1ksamp4.pytxt
https://s3.amazonaws.com/yates2/ENGLISH.may9.2014.1ksamp5.pytxt

https://s3.amazonaws.com/yates2/FULL.may9.2014.pytxt.gz
https://s3.amazonaws.com/yates2/ENGLISH.may9.2014.pytxt.gz

https://s3.amazonaws.com/yates2/merged_attrs_apr30.pytxt.gz

andrewdyates

The Open Access Academia Corpus

Computationally Currated Corpus of Open Access Publications from All Disciplines

• 2,737,377 Unique Documents
• 3,916,477 Unique Authors
• 13,197 Journals
• 5,187 Publishers
• 70 Languages

Entries compiled from arXiv, PubMed OA, DOAJ, and a selection provided by OCLC.

andrewdyates

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

andrewdyates

#!/usr/bin/python
"""Let's solve a (same-length) jumble!
USAGE: python -i same_len_jumble.py
"""
MY_WORD_FILE = "/usr/share/dict/words"
anagrams = {}
for line in open(MY_WORD_FILE):
  word = line.strip()
  anagrams.setdefault("".join(sorted(word)),[]).append(word)

andrewdyates

#!/usr/bin/python
"""Let's solve a jumble!
"""
MY_WORD_FILE = "/usr/share/dict/words"
class Trie(object):
  def __init__(self):
    self.root = {}
    
  def add(self, word):
    """Add a word to the Trie."""

andrewdyates

#!/usr/bin/python
import os, errno

def make_dir(outdir):
  try:
    os.makedirs(outdir)
  except OSError, e:
    if e.errno != errno.EEXIST: raise
  return outdir