Noah Huber-Feely huberf

Good dot paper is an immensely valuable tool for notetaking, but finding dot paper with the right spacing and margins is a significant challenge.

http://paperkit.net/dottedpaper provides a very customizable way to generate it, but unfortunately the dot paper generator is broken and further, has a large watermark at the bottom. To get around this simply navigate to that page, put in the configuration you want, and then instead of clicking Download PDF. Paste the following into your console. Note: You may need to click enable pop-ups and then re-run the code again for it to work.

var doc = new jsPDF('p','mm',format);

Sometimes changing the time zone on a server to ones own can simplify product prototyping. Luckily this is a painless process.

The below is for Eastern time, but one must merely look around in the /usr/share/zoneinfo directory to find the proper file for your setup. When found simply run ln -sf /usr/share/zoneinfo/US/Eastern /etc/localtime replacing /US/Eastern with the appropriate file.

If you are running OSX 10.6.8 or later you can skip this step. The OSX 10.6.8 system asks for your connection parameters the first time you try to establish a SSH connection. Then, it automatically starts the ssh-agent for you. If you don't have OSX 10.6.8 or are running another Linux operating system, do the following: Open a terminal window and enter the ps -e | grep [s]sh-agent command to see if the agent is running.

$ ps -e | grep [s]sh-agent 
 9060 ?? 0:00.28 /usr/bin/ssh-agent -l

If the agent isn't running, start it manually with the following command:

$ ssh-agent /bin/bash

Now that your application is running, and listening on a private IP address, you need to set up a way for your users to access it. We will set up an Nginx web server as a reverse proxy for this purpose. This tutorial will set up an Nginx server from scratch. If you already have an Nginx server setup, you can just copy the location block into the server block of your choice (make sure the location does not conflict with any of your web server's existing content).

On the web server, let's update the apt-get package lists with this command:

sudo apt-get update

Then install Nginx using apt-get:

sudo apt-get install nginx

Quantified Self Trackers and Utilities I Use

This is divided into three sections based upon the role they play in my life.

Trackers (items that provide data)

• Garmin Connect
• WakaTime
• RescueTime
• Moves
• Arc
• Last.fm

This setup uses the Nomie Pro API and IFTTT.

Steps

First you will need to setup the Nomie Proxy service, located at https://github.com/huberf/nomieproxy. This is required because when asking Google 'log that I am angry', you will need to modify the keyword angry to equal the tracker, 'Angry' in my case.
Next, go to IFTTT and create a new applet at the applet creation page.
For the This field, select Google Assistant, and select the trigger Say a phrase with a text ingredient. Now create several phrases. I recommend *log that I just $` as one. Use the $ figure where you want to tracker name to be stated.
After this, for the Then field, select Maker Webhook. Now you just need to put the following format in the URL field: https://YOUR_SERVER.herokuapp.com/PROXY_PASS/{{TextField}}. Replace, YOUR_SERVER and PROXY_PASS with the corresponding values.
Now you just need to press Create and start logging via the Google Assistant.

	import datetime
	import requests as r

	USERNAME = '<PLACEHOLDER>'
	TIMEZONE = -5 # EST timezone offset
	IFTTT_MAKER_KEY = '<PLACEHOLDER>'
	GOAL = 10000

	tz = datetime.timezone(datetime.timedelta(hours=TIMEZONE))
	date = str(datetime.datetime.now(tz))[:10] # gets current date of format '2021-01-14'

	# General likelhod calculation function
	def calc(floorSize, classSize):
	# Calculate likelihood of person A being on any given floor
	chanceOnCertainFloor = floorSize/classSize
	# Chance of person B being in any room on any given floor
	chanceFloorMate = (classSize/floorSize) / classSize
	# Return chance of person A and person B being on the same random floor
	return chanceOnCertainFloor * chanceFloorMate

	# Function to prettify the results

	06-12-2017
	#1-10:00
	Coffee-10:15-1
	#1-10:40
	Soylent-15:00
	Eat-15:00
	#2-16:20
	Water-16:25-1
	#1-17:50
	Water-18:29-1

	# Clear duplicates from Dropbox backup
	import json

	file = open('Android-Nexus 5X-559865688.nomie.json')
	dataRaw = file.read()

	data = json.loads(dataRaw)
	events = data['events']
	cleanedEvents = []
	lastId = ''