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Leonid Shvechikov shvechikov

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def my_local(init):
key = object()
def getter():
t = _app_ctx_stack.top
l = getattr(t, 'my_locals')
if l is None:
t.my_locals = l = {}
if key not in l:
l[key] = init()
return l[key]
from inspect import getattr_static
class dep:
name = None
def __init__(self, type):
self.type = type
__author__ = 'archeg'
import httplib
import urllib
import urllib2
import re
def URLRequest(url, params, headers, method="GET"):
if method == "POST":

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

@shvechikov
shvechikov / fmtcsv.py
Created March 27, 2012 12:06 — forked from astanin/fmtcsv.py
Pretty-print CSV file with fixed width columns.
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Usage: %prog [width [columns]] < table.csv
Pretty-print CSV file with fixed width columns.
Arguments:
@shvechikov
shvechikov / pyhash.py
Created December 9, 2013 18:09 — forked from jbenet/pyhash.py
#!/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
shvechikov / timed_code.py
Created July 9, 2018 05:54 — forked from lericson/timed_code.py
Python Timer Class - Context Manager for Timing Code Blocks
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
shvechikov / README.md
Last active July 20, 2018 06:01 — forked from snehesht/Concurrent HTTP Requests with Python3 and asyncio
Concurrent HTTP Requests with Python3 and asyncio

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.