Rohit Gupta guptarohit

Learning Object Oriented Python

I wrote this as a guide for a financial analyst friend of mine looking to learn Python. He is already fairly well versed in doing Project Euler problems in Ruby. All italicized text is for the benefit of any other readers, such as yourself.

Each section is divided into a short resource (10 minutes or less), a long resource (days to weeks or more), and a challenge.

~

So what you're looking to do is to be able to recreate financial models in code. And other types of models. This is a noble pursuit.

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

##MONGODB & PYTHON

###Ubuntu Install

sudo apt-get install mongodb
pip install pymongo

Table - Collection
Column - Property
Row - Document

Plotting

Last Update: May 13, 2019
Offline Version

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
Scaling Twitter: Making Twitter 10000 Percent Faster

	#
	# CORS header support
	#
	# One way to use this is by placing it into a file called "cors_support"
	# under your Nginx configuration directory and placing the following
	# statement inside your location block(s):
	#
	# include cors_support;
	#
	# As of Nginx 1.7.5, add_header supports an "always" parameter which

	PYTHON_PATH=$(which python)
	PSQL_PATH=$(which psql)

	MYSQL_SCRIPT='mysql2file.py'
	MYSQL_SERVER=
	MYSQL_PORT=3306
	MYSQL_DATABASE=
	MYSQL_USER=
	MYSQL_PASSWORD=

	#!flask/bin/python
	from flask import Flask, jsonify, abort, request, make_response, url_for
	from flask_httpauth import HTTPBasicAuth

	app = Flask(__name__, static_url_path = "")
	auth = HTTPBasicAuth()

	@auth.get_password
	def get_password(username):
	if username == 'miguel':

	# to generate your dhparam.pem file, run in the terminal
	openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048