shvechikov

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

"""
Usage: %prog [width [columns]] < table.csv

Pretty-print CSV file with fixed width columns.

Arguments:

shvechikov

def find_best_subarray(array):
    best_sum = 0
    best_start = 0
    best_end = 0

    cur_sum = 0
    cur_start = 0
    cur_end = 0

    for i, x in enumerate(array):

shvechikov

#!/usr/bin/env python2.7
# 
# Install this in your PATH as `pyhash`.
#
# curl https://gist.github.com/jbenet/6502583/raw/pyhash.py -o pyhash
# mv pyhash /usr/bin/local/pyhash
# chmod +x /usr/bin/local/pyhash
#
# If you want more cryptographic hashing functions, try the PassLib module.
#

shvechikov

from __future__ import unicode_literals

import sys

from sh import ffmpeg
from unipath import Path

_, src_dir, dest_dir = sys.argv

src_dir = Path(src_dir)

shvechikov

# -*- coding: utf-8 -*-
import sys
from pprint import PrettyPrinter


class UnicodePrettyPrinter(PrettyPrinter):
    """Unicode-friendly PrettyPrinter

    Prints:
      - u'привет' instead of u'\u043f\u0440\u0438\u0432\u0435\u0442'

shvechikov

"""
This module is no more needed. It could be useful for implementing Django-level authentication.
Now it works using DRF-level authentication -- dating.apps.mongo_auth.authentication.MongoTokenAuthentication.
So it's here JFYI.
"""


# from django.contrib import auth
from django.utils.functional import SimpleLazyObject
from .models import User, AnonymousUser

shvechikov

import requests
from boto.s3.connection import S3Connection

c = S3Connection(AWS_ACCESS_KEY, AWS_SECRET_KET)

data = 'file content'
filename = 'dir/name.txt'
bucket_name = 'your-bucket-name'
headers = {'Content-Type': 'text/plain'}

shvechikov

import logging
from contextlib import contextmanager
from timeit import default_timer

time_logger = logging.getLogger(__package__ + ".timer")

@contextmanager
def timed_code(name=None):
    next_unit = iter(("s", "ms", "ns", "us")).next
    msg = "section %s took" % (name,) if name else "section took"

shvechikov

Concurrent HTTP Requests with Python3 and asyncio

http://geekgirl.io/concurrent-http-requests-with-python3-and-asyncio/

My friend who is a data scientist had wipped up a script that made lots (over 27K) of queries to the Google Places API. The problem was that it was synchronous and thus took over 2.5 hours to complete.

Given that I'm currently attending Hacker School and get to spend all day working on any coding problems that interests me, I decided to go about trying to optimise it.

I'm new to Python so had to do a bit of groundwork first to determine which course of action was best.

shvechikov

#!/usr/bin/env python2.7
# -*- coding: utf-8 -*-

###################################################
##  Evgeny Muravjev Typograph, http://mdash.ru   ##
##  Version: 3.2-py (beta)                       ##
##  Release Date: February 6, 2014               ##
##  Authors: Evgeny Muravjev & Alexander Drutsa  ##
###################################################