Faris Chebib octaflop

Angular 2 Core Concepts

Dan Walin and John Papa.

We use components to figure parts / sections of our single-page apps.

Imports are awesome because we don't worry about ordering any more. They also help compress our js files.

I hereby claim:

To claim this, I am signing this object:

	class asobj(object):
	"""
	Convert a python dictionary to an object accessible as attributes.

	Args:
	d: a python dictionary
	Returns:
	object: a python object with keys as attributes
	"""
	def __init__(self, d):

	#!/usr/bin/python

	"""
	This stupid function produces randomly capitalized text for usage in the
	god-awful spongebob meme.
	I can't believe I've done this.
	"""

	import random

	#!/usr/bin/python

	"""
	Command line utilities to help start a clean boilerplate project

	Requirements:

	- Click command line: `pip install Click`

	Examples taken from https://www.svds.com/jupyter-notebook-best-practices-for-data-science/ # noqa

	#!/bin/bash

	# export DBUS_SESSION_BUS_ADDRESS environment variable because cron hates me
	PID=$(pgrep -u USER gnome-session-b)
	export DBUS_SESSION_BUS_ADDRESS=$(grep -z DBUS_SESSION_BUS_ADDRESS /proc/$PID/environ\|cut -d= -f2-)

	/usr/bin/gsettings set org.gnome.shell.extensions.user-theme name 'Flat-Plat'
	/usr/bin/gsettings set org.gnome.desktop.interface gtk-theme 'Flat-Plat'
	/usr/bin/gsettings set org.gnome.desktop.background picture-uri 'file://WALLPAPER-PATH'
	/usr/bin/gsettings --schemadir ~/.local/share/gnome-shell/extensions/[email protected] set org.zzrough.gs-extensions.drop-down-terminal background-color 'rgb(69,90,100)'

	# List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	# Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	# Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(valuelist)]

	from django.contrib.gis.measure import D
	from django.contrib.gis.geos import Point
	SRID = 4326
	pnt = Point(lat, lon, srid=SRID)

	class Location(models.Model):
	point = models.PointField()
	objects = models.GeoManager()

	campuses = Location.objects.filter(

	angular.module('BasicModule', [])
	.config(['$httpProvider', function($httpProvider) {
	$httpProvider.defaults.useXDomain = true;
	delete $httpProvider.defaults.headers.common['X-Requested-With'];
	}
	])
	.controller('BasicCtrl', function BasicCtrl($http){
	var basic = this;

	basic.events_api_url = "https://gdata.youtube.com/feeds/api/videos/?v=2&alt=json";