binhngoc17

# Install Docker
curl -sSL https://get.docker.com/ | sh

# Install Compose
curl -L https://github.com/docker/compose/releases/download/1.5.2/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose

binhngoc17

{
    "swagger": "2.0",
    "info": {
        "title": "FixFit API",
        "description": "Promote healthy lifestyle in a fun way!",
        "version": "1.0.0"
    },
    "host": "api.fixfit.com",
    "schemes": [
        "https"

binhngoc17

from django.conf import settings
import elasticsearch
from elasticsearch.helpers import scan
from zopim.util.es_lib import BulkIndexerV2

bulk = BulkIndexerV2()

es1 = elasticsearch.Elasticsearch(['esproxy.zopim.net:80'])
es2 = elasticsearch.Elasticsearch(settings.ES_HOSTS)

binhngoc17

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

binhngoc17

import sys

N = int(sys.stdin.readline())
radiuses = [int(i) for i in sys.stdin.readline().replace('\n', '').split(' ')]
print radiuses
M = int(sys.stdin.readline())
points = []
for i in range(M):
	points.append(
		[int(i) for i in sys.stdin.readline().replace('\n', '').split(' ')]

binhngoc17

from itertools import combinations

N,l = map(int,raw_input().split())

sets = []

idx = dict((i, i) for i in range(N))

for i in xrange(l):
	a,b = map(int,raw_input().split())

binhngoc17

memo_array = {}

def stringReductionHelper(a):
	if len(a) == 1:
		memo_array[1] = (a, 1)
		return memo_array[1]
	if memo_array.get(len(a[:-1])):
		prevChar, prevNum = memo_array.get(len(a[:-1]))
	else:
		prevChar, prevNum = stringReductionHelper(a[:-1])

binhngoc17

import sys

A, B, N = [int(i) for i in sys.stdin.readline().split(' ')]

a_n = A
a_n_1 = B

t = 2
while t < N:
	i = a_n

binhngoc17

import sys
import numpy
import array

factors, numTraining = map(int, sys.stdin.readline().split(' '))

trainSets = []
for i in range(numTraining):
	trainSets.append(map(float, sys.stdin.readline().split(' ')))

binhngoc17

import fileinput

inputs = fileinput.input()
input_vals = []

for n in inputs:
	input_vals.append(n.replace('\n', ''))

numTestCases = int(input_vals[0])