bebraw

import subprocess
import sys

def convert(source, from_format, to_format):
    # original version: http://osiux.com/html-to-restructured-text-in-python-using-pandoc
    # supported formats at http://johnmacfarlane.net/pandoc/
    # raises OSError if pandoc is not found!
    p = subprocess.Popen(['pandoc', '--from=' + from_format, '--to=' + to_format],
        stdin=subprocess.PIPE, stdout=subprocess.PIPE
    )

killercup

/*
 * I add this to html files generated with pandoc.
 */

html {
  font-size: 100%;
  overflow-y: scroll;
  -webkit-text-size-adjust: 100%;
  -ms-text-size-adjust: 100%;
}

jennybc

scale_x_discrete(limits = rev(levels(the_factor)))

doobeh

""" Quick example showing how to do a bulk update into the database
    using SQLAlchemy, without interacting heavily with the ORM.
"""

from sqlalchemy.sql.expression import bindparam
stmt = addresses.update().\
    where(addresses.c.id == bindparam('_id')).\
    values({
        'user_id': bindparam('user_id'),
        'email_address': bindparam('email_address'),

JJediny

There are two types of markup in Liquid: Output and Tag.

• Output markup (which may resolve to text) is surrounded by

{{ matched pairs of curly brackets (ie, braces) }}

• Tag markup (which cannot resolve to text) is surrounded by

max-mapper

millawell

/*
 * I add this to html files generated with pandoc.
 */

html {
  font-size: 100%;
  overflow-y: scroll;
  -webkit-text-size-adjust: 100%;
  -ms-text-size-adjust: 100%;
}

jakebrinkmann

def custom_cmap(colors, padding=1.05):
    """ Create a custom colormap from a dictionary
    
    Args: 
        colors <dict>: Levels to colornames
        padding <float>: Offset levels
    """
    assert(isinstance(colors, dict))
    assert(None in colors)

jamesridgway

# Gnome 3 - based on https://blog.samalik.com/make-your-gnome-title-bars-smaller/
.header-bar.default-decoration {
    padding-top: 3px;
    padding-bottom: 3px;
    font-size: 0.8em;
}
.header-bar.default-decoration .button.titlebutton {
    padding: 0px;
}

munthe

import networkx as nx
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import glob
from numpy import sqrt
import glob

path = ''
files = [f for f in glob.glob(path + "*.jpg")]
img = []