saulshanabrook

import os
from os.path import join
from subprocess import call


source_directory = '/Users/ygbhygb/Documents/Torrents/To Be Converted'
output_directory = '/Users/ygbhygb/Music/iTunes/iTunes Media/Automatically Add to iTunes'
video_endings = ['.avi', '.mkv']
hb_options = '--preset="universal"'
hbcli_path = '/Applications/HandBrakeCLI'

saulshanabrook

unison.log.old
unison.log

saulshanabrook

# Note: this isn't python. It just has some syntax highlighting to make it more readable

# First pair is stocks x, y with a difference of z (ex. 60, 80 with a difference of 20)
x + z == y      # 80 - 20 = 60
    z == y - x  #      20 = 80 - 60

# Buy smaller (x), sell larger (y)
balance == -(x + (100 - y))   # -(60 + (100 - 80))
        == -(x + 100 - y)     # -(60 + 100 - 80)
        == -(-(y - x) + 100 ) # -(-(20 - 60) + 100))

saulshanabrook

*.pyc

saulshanabrook

{
  "close_windows_when_empty": true,
	"color_scheme": "Packages/Tomorrow Color Schemes/Tomorrow.tmTheme",
	"create_window_at_startup": false,
	"draw_white_space": "all",
	"ensure_newline_at_eof_on_save": true,
	"find_selected_text": true,
	"fold_buttons": false,
	"folder_exclude_patterns":
	[

saulshanabrook

import os

from PIL import Image


IMAGE_SIZES = range(500, 20000, 2000)
JPEG_SAVE_QUALITY = 100
DIRECTORY = '~/Desktop/temp/'
COLOR = 'red'

saulshanabrook

# Included in LaTeX document, but also I put it here for better code highlighting

import math
import operator
import itertools
import numpy


def polar_to_cartesian(point):
    r, theta = point

saulshanabrook

For my art history class, my teacher gave me a large PP with a slide for each artwork we needed to learn, so that I could use upload the images plus the artwork identifications and classifications to Memrise for virtual study cards.

I grew tired of copying the two lines from each slide, so I decided to try to parse the PP in python to export a list of artwork IDs and classifications. For example, here I wanted the output to be El Greco: Mannerism.

I found out that a .ppx file is really just a .zip, so once I extracted the PP it was easy to find the slide files, which were all .xml.

https://asciinema.org/a/8098

saulshanabrook

Most Published GP Authors

http://www.saulshanabrook.com/post/80761618102/searching-for-gp

1. Download gp-bibliography.bib and put it in the same directory
2. pip install bibtexparser
3. python most_published.py

saulshanabrook

from collections import namedtuple

Parents = namedtuple('Parents', ['mother', 'father'])

from itertools import zip_longest

from collections import Counter, abc

class FrozenCounter(Counter):
    '''