Kamalabot

This is a more wordy, narrative accompaniment to my pretty bare presentation about d3 that I gave to the jQuery DC Meetup.

What is d3?

Not a chart library (though you can make charts with it)
Not a map library (though you can make maps with it)

Which is to say, d3 can be used for building things, but the 'atomic parts' are lower-level than bar graphs or projections or so on. This is a powerful fact. It also means that d3 is a good basis for simple interfaces, like Vega.js, that make its power accessible in other ways.

Not a compatibility layer (it doesn't work with bad browsers)

A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.

Engines and libraries ⚙️

Name	Stars	Last Commit	Description
three.js	![GitHub

	### CMakeLists.txt for CUDA

	cmake_minimum_required(VERSION 2.8)
	find_package(CUDA QUIET REQUIRED)

	# Pass options to NVCC
	set(
	CUDA_NVCC_FLAGS
	${CUDA_NVCC_FLAGS};
	-O3 -gencode arch=compute_22,code=sm_22

	bind-key C-b send-prefix
	bind-key C-o rotate-window
	bind-key C-z suspend-client
	bind-key Space next-layout
	bind-key ! break-pane
	bind-key " split-window
	bind-key # list-buffers
	bind-key $ command-prompt -I #S "rename-session '%%'"
	bind-key % split-window -h
	bind-key & confirm-before -p "kill-window #W? (y/n)" kill-window

	/*
	As you read the data, use Object.keys() method to extract the column names. Might be useful for binding dropdowns.
	*/

	var columns=null;
	d3.csv('nutdata.csv').row(function(row){
	if(columns==null){
	columns=Object.keys(row);
	columns=columns.slice(2,48); //Optional - to remove columns you dont need
	}

	from django.utils.http import urlencode

	def reverse_querystring(view, urlconf=None, args=None, kwargs=None, current_app=None, query_kwargs=None):
	'''Custom reverse to handle query strings.
	Usage:
	reverse('app.views.my_view', kwargs={'pk': 123}, query_kwargs={'search': 'Bob'})
	'''
	base_url = reverse(view, urlconf=urlconf, args=args, kwargs=kwargs, current_app=current_app)
	if query_kwargs:
	return '{}?{}'.format(base_url, urlencode(query_kwargs))

	import pandas as pd
	import pandas.io.sql as sqlio
	import psycopg2

	conn = psycopg2.connect("host='{}' port={} dbname='{}' user={} password={}".format(host, port, dbname, username, pwd))
	sql = "select count(*) from table;"
	dat = sqlio.read_sql_query(sql, conn)
	conn = None