Chitrank Dixit Chitrank-Dixit

Outdated note: the process is a lot easier now: after you brew install postgresql you can initialize or stop the daemon with these commands: brew services start postgresql or brew services stop postgresql.

new out put may look like

To have launchd start postgresql now and restart at login:
  brew services start postgresql
Or, if you don't want/need a background service you can just run:
  pg_ctl -D /usr/local/var/postgres start

	<!DOCTYPE html>\n
	<html lang="en">
	\n
	<head>
	\n
	<meta charset="UTF-8">
	\n
	<title>\n YGPartner - \n </title>
	\n <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>\n
	</head>

	def base64URLEncode(random_bytes):
	return base64.urlsafe_b64encode(random_bytes)

	def usha256(buffer):
	return sha256(buffer).digest()


	client_id = 'your-client-id'
	client_secret = 'your-client-secret'
	redirect_uri = 'your-redirect-uri'

	# vim:ft=zsh ts=2 sw=2 sts=2 et fenc=utf-8
	################################################################
	# powerlevel9k Theme
	# https://github.com/bhilburn/powerlevel9k
	#
	# This theme was inspired by agnoster's Theme:
	# https://gist.github.com/3712874
	################################################################

	################################################################

	# @Author: xiewenqian <int>
	# @Date: 2016-11-28T20:35:09+08:00
	# @Email: [email protected]
	# @Last modified by: int
	# @Last modified time: 2016-12-01T19:32:48+08:00


	import pandas as pd
	from pymongo import MongoClient

	#!/usr/bin/python

	import time, argparse

	def convert(ctx):

	inputstr = str(ctx.Epoch)
	if len(inputstr) > 10:
	secs = inputstr[:10]
	msecs = inputstr[10:]

	#! /usr/bin/env python
	#
	# Mixpanel, Inc. -- http://mixpanel.com/
	#
	# Python API client library to consume mixpanel.com analytics data.

	import hashlib
	import time
	import urllib #for url encoding
	import urllib2 #for sending requests

	PROJECT_TOKEN = "<mixpanel-project-token>"
	API_SECRET = "<mixpanel-project-api-secret>"
	#from mixpanel import Mixpanel
	#mp = Mixpanel(PROJECT_TOKEN)
	#dir(mp)

	''' people export'''

	import base64
	import csv