Eli Pousson elipousson

How I think about Omeka, CollectionBuilder, and Wax

(the messy version)

Tl;dr

the more you move to spreadsheets, text editors, and the command line from applications with admin interfaces:
- the more control you get!
- the more work + thinking you need to put in to the workflow and how it will include your collaborators
sometimes this control is worth it, sometimes it isn't; it depends on your goals + resources.
minimal computing isn't about purity politics! it's a provocation to clarify your goals and consider alternative tools and methods to best suit the goals and resources you have.

#	Name	Type 1	Type 2	Total	HP	Attack	Defense	Sp. Atk	Sp. Def	Speed	Generation	Legendary
1	Bulbasaur	Grass	Poison	318	45	49	49	65	65	45	1	False
2	Ivysaur	Grass	Poison	405	60	62	63	80	80	60	1	False
3	Venusaur	Grass	Poison	525	80	82	83	100	100	80	1	False
3	VenusaurMega Venusaur	Grass	Poison	625	80	100	123	122	120	80	1	False
4	Charmander	Fire		309	39	52	43	60	50	65	1	False
5	Charmeleon	Fire		405	58	64	58	80	65	80	1	False
6	Charizard	Fire	Flying	534	78	84	78	109	85	100	1	False
6	CharizardMega Charizard X	Fire	Dragon	634	78	130	111	130	85	100	1	False
6	CharizardMega Charizard Y	Fire	Flying	634	78	104	78	159	115	100	1	False

Getting Pastec up and running

Pastec is an open source index and search engine for image recognition. This is how I got it working with lots of help from the hard work of Ryan Baumann, Shawn Graham and Matthew Lincoln.

Installation

Either install Ubuntu 14.04.5 as an operating system, or get a virtual machine from osboxes. Fire up with VirtualBox. Ensure VM is connected to the network (Settings>Network).

Install Pastec by following the documentation. Be sure to download and unzip visualWordsORB.dat into the build subdirectory of Pastec.

This Python script utilizes the GeoPy geocoding library to batch geocode a number of addresses, using various services until a pair of latitude/longitude values are returned.

https://gist.github.com/rgdonohue/c4beedd3ca47d29aef01

face	suit	value
king	spades	13
queen	spades	12
jack	spades	11
ten	spades	10
nine	spades	9
eight	spades	8
seven	spades	7
six	spades	6
five	spades	5

This example pulls together various examples of work with trees in D3.js.

The panning functionality can certainly be improved in my opinion and I would be thrilled to see better solutions contributed.

One can do all manner of housekeeping or server related calls on the drop event to manage a remote tree dataset for example.

Dragging can be performed on any node other than root (flare). Dropping can be done on any node.

Panning can either be done by dragging an empty part of the SVG around or dragging a node towards an edge.

	---
	title: "Untitled"
	format:
	pdf:
	latex-tinytex: false
	keep-md: true
	keep-tex: true
	fontsize: "11"
	---

	#!/usr/bin/env ruby

	toc = "# Table of Contents\n"
	newmd = ""

	ARGF.each_line do \|line\|
	newmd << line
	next if !line.start_with?("#")

	heading = line.gsub("#", "").strip