Michael Keller mhkeller

🖥️ See Demo

3.5 fps, Paperwhite 3
@adtac_

step 1: jailbreak your Kindle

mobileread.com is your best resource here, follow the instructions from the LanguageBreak thread

I didn't really follow the LanguageBreak instructions because I didn't care about most of the features + I was curious to do it myself, but the LanguageBreak github repo was invaluable for debugging

Installing VisiData via `pipx`

pipx is a command-line tool that allows you to run Python applications in isolated environments. It's a great way to make VisiData available across your system without worrying that its dependencies will conflict with other Python projects. This short guide will show you how.

Step 0: Uninstall global VisiData

If you have have previously VisiData installed globally, uninstall it by running pip3 uninstall visidata.

Otherwise, you can skip this step.

Dev Environment

I do the following on a per project basis.

Install virtualenv

If you don't have virtualenv installed, install it globally by running pip install virtualenv from any folder. If that didn't work because you have no pip try pip3 install virtualenv instead.

Create a new python for the project

Array Iteration

https://gist.github.com/ljharb/58faf1cfcb4e6808f74aae4ef7944cff

While attempting to explain JavaScript's reduce method on arrays, conceptually, I came up with the following - hopefully it's helpful; happy to tweak it if anyone has suggestions.

Intro

JavaScript Arrays have lots of built in methods on their prototype. Some of them mutate - ie, they change the underlying array in-place. Luckily, most of them do not - they instead return an entirely distinct array. Since arrays are conceptually a contiguous list of items, it helps code clarity and maintainability a lot to be able to operate on them in a "functional" way. (I'll also insist on referring to an array as a "list" - although in some languages, List is a native data type, in JS and this post, I'm referring to the concept. Everywhere I use the word "list" you can assume I'm talking about a JS Array) This means, to perform a single operation on the list as a whole ("atomically"), and to return a new list - thus making it mu

Geocoding 10,000 addresses a second with NYC's Geosupport library and Node FFI

Following on Chris Whong's excellent writeup of how to make calls directly to NYC's Geosupport client and this first attempt at generalizing it, here's a way that let me geocode about 10,000 addresses a second on Ubuntu using Node FFI.

Note: this assumes Ubuntu - other Linux is probably fine but may need adjustments.

First, install the basics:

# Update, install Node and unzip (if needed)

	const Pool = require('pg-pool');

	const STATE = {
	CANCELLED: 0,
	ACTIVE: 1,
	WAITING: 2,
	}

	export class ManagedPool extends Pool {
	constructor (options) {

	Mute these words in your settings here: https://twitter.com/settings/muted_keywords

	ActivityTweet
	generic_activity_highlights
	generic_activity_momentsbreaking
	RankedOrganicTweet
	suggest_activity
	suggest_activity_feed
	suggest_activity_highlights
	suggest_activity_tweet

	// test data -- we also use an identical "test.csv" to check streams
	var csv = `
	one,two,three
	1,2,3
	a,b,c
	"1,000",1000,"hey there"
	`.trim();

	// easy numeric indexes for iterables
	var forEach = function*(iter) {