tomislater

import datetime
import thread
import _strptime

[thread.start_new_thread(lambda : datetime.datetime.strptime("20161015","%Y%m%d"), ()) for _ in range(2)]

tomislater

import datetime
import thread

[thread.start_new_thread(lambda : datetime.datetime.strptime("20161015","%Y%m%d"), ()) for _ in range(2)]

tomislater

def handler_function(event, context): 
    # event - some event data (usually dict)
    # context - runtime information 
    return 'ok'

tomislater

tomislater

>>> import bisect
>>> from timeit import timeit
>>> from random import randint

>>> def bisect_sort():
>>>     l = [randint(0, 300000) for x in xrange(1000000)]
>>>     bisect.bisect_left(l, 42)

>>> print timeit(bisect_sort, number=100)
117.30470705

tomislater

>>> import heapq
>>> from random import randint

>>> my_heap = []

>>> for _ in xrange(20):
>>>     heapq.heappush(my_heap, randint(0, 3000))

>>> print my_heap
[134, 541, 156, 895, 706, 1700, 427, 2049, 1108, 1092, 1895, 2807, 2469, 811, 717, 2962, 2992, 2356, 1935, 2834]

tomislater

>>> from __future__ import division
>>> from collections import namedtuple

>>> json_data = {
>>>     "id": 63082999,
>>>     "title": "Le retour",
>>>     "upload_date": "2013-04-01 08:46:22",
>>>     "user_id": 13095550,
>>>     "user_name": "Natalia Chernysheva",
>>>     "likes": 930,

tomislater

>>> from collections import defaultdict

>>> d = defaultdict(int)
>>> for x in ["hell", "camp", "four", "walls", "only", "hell", "pity", "party"]:
>>>     d[x] += 1

>>> print d["hell"]
2
>>> print d["pity"]
1

tomislater

>>> from collections import deque
>>> l = deque([])

>>> for x in xrange(15):
>>>     l.appendleft(x)
>>>     l.append(x)

>>> print l
deque([14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14])

tomislater

>>> from random import randint
>>> from collections import Counter
>>> l = [randint(0, 333) for x in xrange(100)]
>>> c = Counter(l)
>>> c.most_common(5)
[(286, 3), (314, 3), (133, 2), (139, 2), (142, 2)]

>>> c[286]
3