andriisoldatenko

from functools import wraps

def teamcity_messages(f):
    """
    Decorator for Build Script Interaction with TeamCity
    https://confluence.jetbrains.com/display/
    TCD9/Build+Script+Interaction+with+TeamCity
    """
    @wraps(f)
    def wrapper(*args, **kwds):

andriisoldatenko

#!/usr/bin/env python
from __future__ import with_statement
import os
import re
import shutil
import subprocess
import sys
import tempfile

andriisoldatenko

curl -XPUT 'http://localhost:9200/us/user/1?pretty=1' -d '
{
   "email" : "john@smith.com",
   "name" : "John Smith",
   "username" : "@john"
}
'

curl -XPUT 'http://localhost:9200/gb/user/2?pretty=1' -d '
{

andriisoldatenko

#!/usr/bin/env ruby

# 1. Install hunspell
# $ brew install hunspell

# 2. Download a dictionary and install it in a path listed by `hunspell -D`
# $ open http://wiki.services.openoffice.org/wiki/Dictionaries

# 3. Move this file into your repository
# $ mv commit-msg /path/to/repo/.git/hooks

andriisoldatenko

#!/usr/bin/env ruby

# 1. Install hunspell
# $ brew install hunspell

# 2. Download a dictionary and install it in a path listed by `hunspell -D`
# $ open http://wiki.services.openoffice.org/wiki/Dictionaries

# 3. Move this file into your repository
# $ mv commit-msg /path/to/repo/.git/hooks

andriisoldatenko

Latency Comparison Numbers
--------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

andriisoldatenko

import pprint
from nltk.corpus import stopwords
from nltk.corpus import webtext
from nltk.collocations import BigramCollocationFinder
from nltk.metrics import BigramAssocMeasures

stopset = set(stopwords.words('english'))
filter_stops = lambda w: len(w) < 3 or w in stopset

words = [w.lower() for w in webtext.words('grail.txt')]

andriisoldatenko

import re

replacement_patterns = [
    (r'won\'t', 'will not'),
    (r'can\'t', 'can not'),
    (r'i\'m', 'i am'),
    (r'ain\'t', 'is not'),
    (r'(\w+)\'ll', '\g<1> will'),
    (r'(\w+)n\'t', '\g<1> not'),
    (r'(\w+)\'ve', '\g<1> have'),

andriisoldatenko

from django.core.files.storage import get_storage_class
from storages.backends.s3boto3 import S3Boto3Storage


class StaticS3Boto3Storage(S3Boto3Storage):
    file_overwrite = True


class CachedS3BotoStorage(S3Boto3Storage):
    """

andriisoldatenko

Keybase proof

I hereby claim:

• I am andriisoldatenko on github.
• I am andriisoldatenko (https://keybase.io/andriisoldatenko) on keybase.
• I have a public key whose fingerprint is A0D6 256A D866 BB57 9B69 FCAD 1B11 C0C2 8C75 CD5A

To claim this, I am signing this object: