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Deepakdubey90 / app.py
Created October 22, 2019 08:11 — forked from mozillazg/app.py
A simple demo for how to use flask-paginate.
from flask import Flask, render_template
from flask_paginate import Pagination, get_page_args
app = Flask(__name__)
app.template_folder = ''
users = list(range(100))
def get_users(offset=0, per_page=10):
@Deepakdubey90
Deepakdubey90 / app.py
Created October 22, 2019 08:11 — forked from mozillazg/app.py
A simple demo for how to use flask-paginate.
from flask import Flask, render_template
from flask_paginate import Pagination, get_page_args
app = Flask(__name__)
app.template_folder = ''
users = list(range(100))
def get_users(offset=0, per_page=10):
@Deepakdubey90
Deepakdubey90 / models.py
Created December 14, 2018 18:03 — forked from mrob11/models.py
Simple follower/following relationship in Django
$ ./manage.py shell
Python 2.7.5 (default, Aug 25 2013, 00:04:04)
[GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.0.68)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
(InteractiveConsole)
>>> from followers.models import *
>>> john = User.objects.create_user('john', 'lennon@thebeatles.com', 'password')
>>> paul = User.objects.create_user('paul', 'mccartney@thebeatles.com', 'password')
>>> george = User.objects.create_user('george', 'harrison@thebeatles.com', 'password')
>>> ringo = User.objects.create_user('ringo', 'starr@thebeatles.com', 'password')
@Deepakdubey90
Deepakdubey90 / O'Reilly Free Books in PDF format
Last active November 15, 2024 14:52 — forked from stripedpurple/O'Reilly Free Books
http://www.oreilly.com/data/free/files/2014-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/2015-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/Data_Analytics_in_Sports.pdf
http://www.oreilly.com/data/free/files/advancing-procurement-analytics.pdf
http://www.oreilly.com/data/free/files/ai-and-medicine.pdf
http://www.oreilly.com/data/free/files/analyzing-data-in-the-internet-of-things.pdf
http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf
http://www.oreilly.com/data/free/files/architecting-data-lakes.pdf
http://www.oreilly.com/data/free/files/being-a-data-skeptic.pdf
http://www.oreilly.com/data/free/files/big-data-analytics-emerging-architecture.pdf
@Deepakdubey90
Deepakdubey90 / notes.md
Created November 23, 2017 06:28 — forked from DavidWittman/notes.md
A Brief Introduction to Fabric

A Brief Introduction to Fabric

Fabric is a deployment management framework written in Python which makes remotely managing multiple servers incredibly easy. If you've ever had to issue a change to a group servers, this should look pretty familiar:

for s in $(cat servers.txt); do ssh $s service httpd graceful; done

Fabric improves on this process by providing a suite of functions to run commands on the servers, as well as a number of other features which just aren't possible in a simple for loop. While a working knowledge of Python is helpful when using Fabric, it certainly isn't necessary. This tutorial will cover the steps necessary to get started with the framework and introduce how it can be used to improve on administering groups of servers.