timbennett

# Find top artists/tracks you've listened to within the past year but not the past 90 days
# Before starting, download your Last.fm history from here: https://benjaminbenben.com/lastfm-to-csv/

import datetime
import pandas as pd

# add column names (at time of publishing, the site above didn't do this)
df = pd.read_csv("username.csv",header=0,names=["artist","album","title","timestamp"])
df.timestamp = pd.to_datetime(df.timestamp)
df['trackid'] = df['artist']+df['title']

timbennett

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

ActivityTweet
generic_activity_highlights
generic_activity_momentsbreaking
RankedOrganicTweet
suggest_activity
suggest_activity_feed
suggest_activity_highlights
suggest_activity_tweet

timbennett

from collections import *
from random import random
import argparse

parser = argparse.ArgumentParser(description='Generate new list items using an existing \
                                             list and a character-level language model')

parser.add_argument('-filename', action="store", dest="filename",
                    help='Name of the file containing the sample text.')
parser.add_argument('-order', action="store", dest="order", type=int, default=4,

timbennett

# This script takes a video's individual frames and overlays them to produce a composite "long exposure" image.
#
# Usage: python expose.py video.mp4 width height
#
# IMPORTANT: you'll need to edit this script to set the value of 'alpha' appropriate for your video's length and desired brightness.

from __future__ import division
import subprocess as sp
import numpy
from PIL import Image, ImageDraw

timbennett

Copy of http://pastebin.com/5HUwk2jA

ABC Radio appears to be using a service from http://newrelic.com. You can get the ten most recently played tracks across their enabled stations here:
 
http://music.abcradio.net.au/api/v1/plays/search.json
 
Or you can add these parameters (as their web apps do to generate playlists):
 
from=yyyy-mm-ddThh:mm:ss.000Z   // Date range start in UTC e.g. 2014-04-30T00:00:00.000Z
to=yyyy-mm-ddThh:mm:ss.000Z     // Date range end in UTC e.g. 2014-04-30T00:00:00.000Z

timbennett

## Check whether a specified Twitter username is available.
## Usage: 'check.py username'

## IFTTT.com instructions:
## You will need an ifttt.com account. Activate the maker channel (https://ifttt.com/maker) and copy your key to this script.
## Create a new recipe with trigger "Receive a web request" from the Maker channel.
## The script will send the username as Value1 and status as Value2. You can use these in your recipe. 
## e.g. "Twitter username {{Value1}} {{Value2}}" will come across as "Twitter username jack available"

import requests

timbennett

timbennett

## Check whether a specified Twitter username is available for registration.
## Usage: 'check_username_available.py username'

## IFTTT.com instructions:
## You will need an ifttt.com account. Activate the maker channel (https://ifttt.com/maker) and copy your key to this script.
## Create a new recipe with trigger "Receive a web request" from the Maker channel.
## The script will send the username as Value1 and status as Value2. You can use these in your recipe. 
## e.g. "Twitter username {{Value1}} {{Value2}}" will come across as "Twitter username jack available"

import requests

timbennett

# based entirely on http://nbviewer.ipython.org/gist/yoavg/d76121dfde2618422139 by Yoav Goldberg
# inputfile.txt (specified on line 42): is the corpus you want to learn & generate from
# nletters=1000 (on line 33): is how many characters you want to generate
# order=10 (line 42): is the history length (higher generally gives better output with diminishing returns above 7ish)
# print generate_text(lm, 10) (line 43): 10 is the order again, but for generation

from collections import *

def train_char_lm(fname, order=4):
    data = file(fname).read()

timbennett

<?php

// this gets the data used to power charts at roadsreport.rms.nsw.gov.au

date_default_timezone_set('Australia/Sydney'); // doesn't matter
$date = '2013-09-02'; // earliest date for available data

// Set up the query loop (I should really do this by end date)
for ($i = 1; $i <= 460; $i++) {