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Adam Menges adammenges

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View gist:d2c0bca7380f33288cdb
TASK: [common | upgrade system packages] **************************************
failed: [celery_stats_testing] => {"failed": true, "item": ""}
stdout: Reading package lists...
Building dependency tree...
Reading state information...
Initializing package states...
Writing extended state information...
Resolving dependencies...
The following NEW packages will be installed:
liblcms2-2{a} linux-headers-3.2.0-64{a} linux-headers-3.2.0-64-virtual{a}
View gist:79c7d21833fd33243d6f
with open('./search/data/seo_service_landing_service_data.yml') as f:
service_data = yaml.safe_load(f)
for x in service_data:
service_data[x]['see_also'] = [TOP_TEN[i] for i in (random.sample(xrange(len(TOP_TEN)), 4))]
with open('./search/data/seo_service_landing_service_data.yml', 'w') as f:
pyaml.dump(service_data, f)
View gist:c1cb3024040025a5b706
$(document).ready(function() {
var closeMenu = function() {
$('#container').unbind('touchmove');
$("#container").animate({"margin-left": "0"}, {
duration: 700,
complete: function() {
$('#content').css('width', 'auto');
$('#contentLayer').css('display', 'none');
View balancedParens.py
def balancedParens(s):
stack, opens, closes = [], ['(', '[', '{'], [')', ']', '}']
for c in s:
if c in opens:
stack.append(c)
elif c in closes:
try:
if opens.index(stack.pop()) != closes.index(c):
return False
except (ValueError, IndexError):
@adammenges
adammenges / youtube.py
Last active Aug 29, 2015
Download whole playlist of videos from youtube with Python
View youtube.py
#############################
#
# Needed it to download this guy: https://www.youtube.com/playlist?list=PLPemlF-zX2ydW5QoNsHpQiLCQKIKdjvoo
#
# Figured why not stick it up on github too.
#
#############################
import pafy
import os
View gist:71b3ac3d851b59de3ddb
### Keybase proof
I hereby claim:
* I am adammenges on github.
* I am adammenges (https://keybase.io/adammenges) on keybase.
* I have a public key whose fingerprint is 4C50 C670 FDCD 994E EC08 D308 C8A2 1C16 63B6 3476
To claim this, I am signing this object:
View ml-bot.py
##############################################################################
## ##
## ##
## ( \/ )( ) ___( _ \ / \(_ _) ##
## / \/ \/ (_/\(___)) _ (( O ) )( ##
## \_)(_/\____/ (____/ \__/ (__) ##
## ##
## ##
## ##
## The beginings of an ml-bot. To start, he'll let us know when ##
@adammenges
adammenges / hackernewscorpus.py
Last active Aug 29, 2015
get hacker news corpus
View hackernewscorpus.py
# coding: utf-8
import requests
import os.path
import time
def multiple_tries(func, times, timeout):
for cnt in xrange(1, times + 1):
try:
return func()
except Exception, e:
View sklearn.py
import string, sklearn, random
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.svm import SVC
from sklearn.pipeline import Pipeline
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import StratifiedKFold
def tok(m):
return m.split()
@adammenges
adammenges / min-char-rnn.py
Created Jan 6, 2017 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
View min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)