abelsonlive

Thanks for stopping on our website and dropping your request. I am <name>, your point of contact to help turn your idea to a Mobile App.

I would like to share that our team has develop a Demo app that is a combination of Yo/SnapChat in iOS 8 to test the features/functionality. Following is the video for reference: https://www.dropbox.com/s/fowvyi8a48ur0cz/YoME.MOV

As I see that you would like to develop an app that is similar to Yo! with some additional feature, to provide you a ball-park an app similar to Yo! would roughly cost between $3500 - $5000 USD for iPhone and it would take approx 4 - 6 weeks.

Above estimation includes. 
-- Development of UI/UX design for iOS app
-- Development of iOS application.

abelsonlive

Performance of Flask, Tornado, GEvent, and their combinations

Wensheng Wang, 10/1/11

Source: http://blog.wensheng.org/2011/10/performance-of-flask-tornado-gevent-and.html

When choosing a web framework, I pretty much have eyes set on Tornado. But I heard good things about Flask and Gevent. So I tested the performance of each and combinations of the three. I chose something just a little more advanced than a "Hello World" program to write - one that use templates. Here are the codes:

1, Pure Flask (pure_flask.py)

abelsonlive

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

from functools import wraps 

import requests
from requests import Session, ConnectionError
from requests.exceptions import MissingSchema
from requests.packages.urllib3.exceptions import ProtocolError, LocationParseError
from socket import error as SocketError

abelsonlive

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

from functools import wraps 

import requests
from requests import Session, ConnectionError
from requests.exceptions import MissingSchema
from requests.packages.urllib3.exceptions import ProtocolError, LocationParseError
from socket import error as SocketError

abelsonlive

from suds.xsd.doctor import ImportDoctor, Import
from suds.client import Client

def connect_to_soap_service():
  url = 'https://cgmix.uscg.mil/xml/PSIXData.asmx?WSDL'
  imp = Import('http://www.w3.org/2001/XMLSchema', location='http://www.w3.org/2001/XMLSchema.xsd')
  imp.filter.add('http://cgmix.uscg.mil')
  doctor = ImportDoctor(imp)
  return Client(url, doctor=doctor)

abelsonlive

import hashlib
import s3plz 
import os
import requests

class Cache(object):
	"""
	An Abstract class for caching
	urls.
	"""

abelsonlive

abelsonlive

require("rjson")

#generate urls to scrape
#I determined the lowest and highest unique ids 
#by looking at the page that had just the coordinates

root.url <- "http://a841-tfpweb.nyc.gov/bikeshare/get_point_info?point="
id<- seq(11992,12404, by=1) 
urls <- paste(root.url, id, sep="")

abelsonlive

library("foreign")
library("rgdal")
library("sp")
library("spdep")
library("maptools")
library("SpatialEpi")
library("plyr")

data <- read.dbf("counts.dbf")
shapes <- readShapePoly("counts.shp")

abelsonlive

data$date <- as.POSIXlt(data$unix_time, origin="1970-01-01", tz="America/New_York")
data$date <- as.Date(data$date, format="%Y-%m-%d")