Yuriy Dybskiy html5cat

Brief notes on Meteor for CS 294-101. Many of the key architectural ideas in Meteor are described at https://www.meteor.com/projects.

BSD as example of great system design. Application primitives: processes run by a scheduler, sockets, sys calls, virtual memory, mbufs. What makes something a platform. Unix vs Multics.
History of application architectures. Mainframes (e.g. IBM 360 / 3270), client-server (e.g. Win32), web (e.g. LAMP), cloud-client. Oscillation of where the software runs. Thin vs thick clients, data vs presentation on the wire. Changes driven by massive forces (cheap CPUs, ubiquitous internet, mobile). New architecture for each era.
What it takes to make modern UI/UX. Mobile. Live updating. Collaboration. No refresh button. All drive the need for “realtime” or “reactive” system. Very different from HTTP era.
Four questions: 1 — how do we move data around; 2 — where does it come from; 3 — where do we put it; 4 — how do we use it?

Interdisciplinary Open Source Community Conferences

Criteria

Must be an event that someone involved in open source would be interested in attending
Must be a community oriented event (no corporate owned for-profit events here please)
Can't be about a specific language/framework.

Leave suggestions in the comments below

You got your hands on some data that was leaked from a social network and you want to help the poor people.

Luckily you know a government service to automatically block a list of credit cards.

The service is a little old school though and you have to upload a CSV file in the exact format. The upload fails if the CSV file contains invalid data.

The CSV files should have two columns, Name and Credit Card. Also, it must be named after the following pattern:

YYYYMMDD.csv.

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

Can't share the complete code because the app's closed source and still in stealth mode, but here's how I'm using React Router and Redux in a large app with server rendering and code splitting on routes.

Server

Wildcard Express route configures a Redux store for each request and makes an addReducers() callback available to the getComponents() method of each React Router route. Each route is responsible for adding any Redux reducers it needs when it's loaded. (This isn't really necessary on the

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

	# Manually download each month's call history from t-mobile.com and toss them in
	# a directory. Or do it automatically using computers, who cares.
	#
	# Install spark: https://github.com/holman/spark

	cat * \| grep 266-2278 \| sort \| cut -d, -f5 \| spark
	# ▂█▁▃▅

	echo "fuck comcastttttttttttttttttttttttttttttttttttttttttt"
	# ⒻⓊⒸⓀ ⒸⓄⓂⒸⒶⓈⓉ

	function mapValues(obj, fn) {
	return Object.keys(obj).reduce((result, key) => {
	result[key] = fn(obj[key], key);
	return result;
	}, {});
	}

	function pick(obj, fn) {
	return Object.keys(obj).reduce((result, key) => {
	if (fn(obj[key])) {

	-- Active issues
	-- Count of total active issues in the specified time frame
	-- Source: githubarchive public data set via Google BigQuery http://githubarchive.org/

	SELECT
	COUNT(DISTINCT JSON_EXTRACT_SCALAR(events.payload, '$.issue.id')) AS events_issue_count
	FROM (SELECT * FROM TABLE_DATE_RANGE([githubarchive:day.],TIMESTAMP('2015-09-01'),TIMESTAMP('2016-08-31')))
	AS events

	-- 10,723,492 active issues

	document.querySelector('.player-video-wrapper').addEventListener('click', function() {
	document.querySelector('.player-play-pause').dispatchEvent(new MouseEvent('click'));
	});