J. Voigt joyrexus

I've heard a number of people praise the Greiner-Hormann algorithm for clipping arbitrary polygons. They say it has a certain conceptual simplicity and elegance.

@jasondavies is utilizing Greiner-Hormann for D3's polygon clipping operations (2D and spherical). He recently gave a demo of boolean operations on polygons based on as-of-yet unreleased work here.

His earlier clipping demos can be found here and here.

@w8r has a nice, clean implementation of the algorithm for 2D clipping operations with no dependencies. He provides an adapter for clipping polygon regions defin

The three great virtues of a programmer (per Larry Wall)

Laziness

The quality that makes you go to great effort to reduce overall energy expenditure. It makes you write labor-saving programs that other people will find useful and document what you wrote so you don't have to answer so many questions about it.

Impatience

Quick tire kick of KaTeX.

npm install
npm run demo

Regex Testing

One way to deal with building and testing complex regular expressions is to break the overall pattern into component pieces, each of which can be tested individually.

Here's one example of a complex pattern and it's componentization:

thru stream - a transform stream operating in objectMode.

Components

through2 - makes it easy to generate transform streams without all the subclassing boilerplate
through2-map - Array.prototype.map analog for streams
through2-filter -

The aim is to develop a simple generic crossfilter interface for timeseries data. The tag line for crossfilter applies: we want fast multidimensional filtering with coordinated views.

We'd like a consistent ui for visualizing/querying/filtering all columns with visual summarizers/selectors appropriate to a column's type (e.g., brushable histograms for numeric types, selectable histograms for enumerated types, typeahead keyword search for text, etc.).

I'd like it to be useful primarily as a table filter and query tool, but provide simple summary visualizations and statistics of the current selection. As in the various crossfilter demos, any data visualization should also function as part of the query interface.

big-picture questions for dat

Is there a preferred way to include schema definitions with a dat?
How might one handle datasets with multiple related tables?
Do you see dat as similar to Qu in its longer term ambitions? Complementary?

Notes

pure js variant of ipython notebook

i.js - IPython-inspired js environment
atom-shell - node.js apis that let you access local system resources from web pages

background and context
12-factor app - the manifesto for paas-friendly apps
etcd - k/v store for shared configuration and service discovery
octohost - simple web focused Docker based mini-PaaS server
flynn - heroku for the rest of us

	# Show all declared functions
	funcs () {
	declare -f
	}

	# Show all declared function names (omitting underscored stuff)
	functions () {
	declare -F \| grep -v _
	}