Abe Kazemzadeh abecode

brew cask install dia

After his it won't run because DISPLAY=:0 env var is not set

vim /Applications/Dia.app/Contents/Resources/bin/dia

Makefile cheat sheet

Mostly geared towards GNU make

I've used ->| to indicate a tab character, as it's clearer to read than ⇥

Set a target, its dependencies and the commands to execute in order

target: [dependencies]
-&gt;|

Why build Apache Arrow from source on ARM?

Apache Arrow is an in-memory data structure used in several projects. It's python module can be used to save what's on the memory to the disk via python code, commonly used in the Machine Learning projects. With low RAM, ARM devices can make use of it but there seems to be an configuration error with the packaged binaries as of version 0.15.1 and so we're forced to build and install from the source.

The installation build steps are based on official guidelines but modified for ARM and has taken clues from building Ray for ARM.

My setup

I'm using Nvidia Jetson nano.

Quad-core ARM® Cortex®-A57 MPCore processor

Set Org Directory

(after! org
    (setq org-directory "~/org/"))

org-roam

Taken from Making Connections in your Notes (10:24) by Matt Williams:

(setq org-roam-directory "~/org/roam")
(setq org-roam-graph-viewer "qiv")

This was a response to a Hacker News comment asking me what I've been up to since 2010. I'm posting it here since HN rejects it with "that comment is too long." I suppose that's fair, since this ended up being something of an autobiography.

--

What happened after 2010?

	import re, sys # this file requires python 3
	def parse(tokens):
	stack = ([], None)
	for t in tokens:
	if t == '(':
	stack = ([], stack)
	elif t == ')':
	(finished_list, stack) = stack
	stack[0].append(finished_list)
	elif not t.startswith(';;'):

	# Author
	# Linwood Creekmore III
	# April 8 2017
	# heavy input from http://socialmedia-class.org/twittertutorial.html
	# [email protected]

	import re
	import copy
	import numpy as np
	import pandas as pd

	''' Script for downloading all GLUE data.

	Note: for legal reasons, we are unable to host MRPC.
	You can either use the version hosted by the SentEval team, which is already tokenized,
	or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
	For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
	You should then rename and place specific files in a folder (see below for an example).

	mkdir MRPC
	cabextract MSRParaphraseCorpus.msi -d MRPC

	########loading the Titanic Train Data Set
	TitanicTrain<-train1

	######Checking Missing Values in the Train Data Set
	sapply(TitanicTrain, function(x)sum(is.na(x)))

	#######Loading the Titanic Test Data Set
	TitanicTest<-test11

	#######Checking Missing Values in the Test Data Set

	#!/usr/bin/awk -f

	# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
	# My copy here is written in awk instead of C, has no compelling benefit.
	# Public domain. @thingskatedid

	# Run as awk -v x=xyz ... or env variables for stuff?
	# Assumptions: the data is evenly spaced along the x-axis

	# TODO: moving average