Will Angley willangley

The introduction to Reactive Programming you've been missing

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

Around 2006-2007, it was a bit of a fashion to hook lava lamps up to the build server. Normally, the green lava lamp would be on, but if the build failed, it would turn off and the red lava lamp would turn on.

By coincidence, I've actually met, about that time, (probably) the first person to hook up a lava lamp to a build server. It was Alberto Savoia, who'd founded a testing tools company (that did some very interesting things around generative testing that have basically never been noticed). Alberto had noticed that people did not react with any urgency when the build broke. They'd check in broken code and go off to something else, only reacting to the breakage they'd caused when some other programmer pulled the change and had problems.

¯\_(ツ)_/¯

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

	# you can make a text file of request times (in ms, one number per line) and import it here, or you can use a probability distribution to simulate request times (see below where setting req_durations_in_ms)
	# rq = read.table("~/Downloads/request_times.txt", header=FALSE)$V1

	# argument notes:
	# parallel_router_count is only relevant if router_mode is set to "intelligent"
	# choice_of_two, power_of_two, and unicorn_workers_per_dyno are only relevant if router_mode is set to "naive"
	# you can only select one of choice_of_two, power_of_two, and unicorn_workers_per_dyno

	run_simulation = function(router_mode = "naive",
	reqs_per_minute = 9000,

	#!/bin/bash
	IPT="/sbin/iptables"

	# Server IP
	SERVER_IP="$(ip addr show eth0 \| grep 'inet ' \| cut -f2 \| awk '{ print $2}')"

	# Your DNS servers you use: cat /etc/resolv.conf
	DNS_SERVER="8.8.4.4 8.8.8.8"

	# Allow connections to this package servers

	# Install QEMU OSX port with ARM support
	sudo port install qemu +target_arm
	export QEMU=$(which qemu-system-arm)

	# Dowload kernel and export location
	curl -OL \
	https://github.com/dhruvvyas90/qemu-rpi-kernel/blob/master/kernel-qemu-4.1.7-jessie
	export RPI_KERNEL=./kernel-qemu-4.1.7-jessie

	# Download filesystem and export location

	from keras.models import Sequential
	from keras.layers import Dense

	x, y = ...
	x_val, y_val = ...

	# 1-dimensional MSE linear regression in Keras
	model = Sequential()
	model.add(Dense(1, input_dim=x.shape[1]))
	model.compile(optimizer='rmsprop', loss='mse')

	# Makefile for transpiling with Babel in a Node app, or in a client- or
	# server-side shared library.

	.PHONY: all clean

	# Install `babel-cli` in a project to get the transpiler.
	babel := node_modules/.bin/babel

	# Identify modules to be transpiled by recursively searching the `src/`
	# directory.

	# Tutorial https://www.daimto.com/how-to-get-a-google-access-token-with-curl/
	# YouTube video https://youtu.be/hBC_tVJIx5w
	# Client id from Google Developer console
	# Client Secret from Google Developer console
	# Scope this is a space seprated list of the scopes of access you are requesting.

	# Authorization link. Place this in a browser and copy the code that is returned after you accept the scopes.
	https://accounts.google.com/o/oauth2/auth?client_id=[Application Client Id]&redirect_uri=http://127.0.0.1&scope=[Scopes]&response_type=code

	# Exchange Authorization code for an access token and a refresh token.