Magnus Nissel magnusnissel

How To Serve Flask Applications with uWSGI and Nginx on Ubuntu 14.04

@credit Yan Zhu (https://github.com/nina-zhu)

Introduction

Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions, it can help you get your Python application or website off the ground. Flask includes a simplified development server for testing your code locally, but for anything even slightly production related, a more secure and powerful web server is required.

In this guide, we will demonstrate how to install and configure some components on Ubuntu 14.04 to support and serve Flask applications. We will configure the uWSGI application container server to interface with our applications. We will then set up Nginx to reverse proxy to uWSGI, giving us access to its security and performance features to serve our apps.

	#!/usr/bin/python

	import rtmidi, time

	buttons = {
	58: 'track_left',
	59: 'track_right',
	46: 'cycle',
	60: 'marker_set',
	61: 'marker_left',

	import os
	import glob

	import pandas as pd

	def check_lineup(r):
	a_cols = ["A1", "A2", "A3", "A4", "A5"]
	h_cols = ["H1", "H2", "H3", "H4", "H5"]
	a = [True for p in r[a_cols] if p != ""]
	h = [True for p in r[h_cols] if p != ""]

	def compare_on_dataset(data, target_variable=None, lr=0.001, patience=150):

	from IPython.display import display

	df = (
	pd.read_csv(data)

	# Rename columns to lowercase and underscores
	.pipe(lambda d: d.rename(columns={
	k: v for k, v in zip(

	import tweepy
	import os
	import sys
	import datetime
	import pandas as pd
	import glob
	import time

	TWITTER_LIST_DIR ="PATH/TO/THE/LIST/FOLDER"

	#This function depends on the knitr and webshot packages, uncomment lines 2-6 below if you need to install them first
	#install.packages("knitr")
	#install.packages("devtools")
	#library(devtools)
	#devtools::install_github("wch/webshot")
	#webshot::install_phantomjs()

	#Feel free to move the library() calls for knitr and webshot outside the function.

	#!/usr/bin/env python
	# encoding: utf-8

	import tweepy #https://github.com/tweepy/tweepy
	import csv

	#Twitter API credentials
	consumer_key = ""
	consumer_secret = ""
	access_key = ""

	import re

	"""
	This program is free software: you can redistribute it and/or modify
	it under the terms of the GNU General Public License as published by
	the Free Software Foundation, either version 3 of the License, or
	(at your option) any later version.

	This program is distributed in the hope that it will be useful,
	but WITHOUT ANY WARRANTY; without even the implied warranty of

	import pandas as pd
	import re


	class LabMTScorer():

	""" A simple class to score text with LabMT and pandas,
	based on the example provided by Finn Årup Nielsen
	at http://neuro.imm.dtu.dk/wiki/LabMT """

Magnus Nissel magnusnissel

How To Serve Flask Applications with uWSGI and Nginx on Ubuntu 14.04

Introduction

Prerequisites and Goals