hest

def get_count(q):
    count_q = q.statement.with_only_columns([func.count()]).order_by(None)
    count = q.session.execute(count_q).scalar()
    return count

q = session.query(TestModel).filter(...).order_by(...)

# Slow: SELECT COUNT(*) FROM (SELECT ... FROM TestModel WHERE ...) ...
print q.count()

kevinSuttle

DEPRECATED

Please see: https://github.com/kevinSuttle/html-meta-tags, thanks for the idea @dandv!

---

Copied from http://code.lancepollard.com/complete-list-of-html-meta-tags/

Basic HTML Meta Tags

jonathonbyrdziak

// Giant List of Negative Porn Keywords To Exclude From Google Adwords
adult film
adult movie
adult video
anal
ass
bara
barely legal
bdsm
bestiality

marko-asplund

--
-- ** setting up example tables and data **
-- 
-- 

CREATE TABLE task (
  id BIGSERIAL ,
  name TEXT,
  parent_id BIGINT REFERENCES task(id),
  PRIMARY KEY (id)

brainsik

import logging
from termcolor import colored


class ColorLog(object):

    colormap = dict(
        debug=dict(color='grey', attrs=['bold']),
        info=dict(color='white'),
        warn=dict(color='yellow', attrs=['bold']),

letmaik

from sqlalchemy import create_engine, event, orm
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm.session import Session as SessionBase, object_session
from sqlalchemy.event.api import listen

# The following adds delete, insert, and update events after successful commits.
# SQLAlchemy provides only events after flushes, but not after commits.
# The classes are adapted from Flask-SQLAlchemy.
# see also https://stackoverflow.com/a/12026787/60982

rwalk

#!/usr/bin/python3
#   This script is a simple introduction to the python elasticsearch API. 
#
#   This script will populate an elasticsearch index from a file and then give a simple command line query interface.
#   Each line of the input file will be mapped into a JSON document of the form { "text": "my file line..." } and added
#   to the index. 
#
#   You can use Docker to spin up a local elasticsearch instance to play around with, e.g.
#   docker run --name elasticsearch -d -p 9200:9200 elasticsearch:latest
#

mprymek

# This is an example of metaprogramming in the Elixir language.
# 
# We will define a domain specific language (DSL) for the definition
# of a service which is watched by several sensors.
# Each sensor watches some property/functionality of the service and
# returns the result of the check.
# 
# To determine if the service is functioning properly, we need functions
# to run all the sensors' code and gather the returned data.
# 

thomasleveil

/.vscode
__pycache__
.pytest_cache
log.txt

sinkers

#!/bin/sh

#  encode_bitrate_overlay.sh
#  
#
#  Created by Andrew Sinclair on 11/07/2014.
#
#!/bin/bash
VIDSOURCE=$1
OUTNAME=$2