Kyle Mitchell jcmkk3

Hario SWITCH Immersion Dripper 03
Fellow Stagg Double Wall Carafe
Darn Tough socks (Men's 10)
Bivo Duo 25 oz (non-insulated) water bottle (any color)
Leatherman Micra (stainless steel)
6 pack IPA
Bottle of bourbon
(Book) Open Circuits: The Inner Beauty of Electronic Components
(Book) Q Tips: Fast, Scalable and Maintainable Kdb+
(Book) To Mock a Mockingbird

Simple Average in Many Languages

This was an exercise to take a peek at some different languages using a simple algorithm.

Average is an interesting algorithm to compare languanges. It is simple, but has enough complexity to demonstrate some differences between the languages.

Average requires calculating two different summary statistics (sum and count), then combining those two (division) into a single number. An efficient solution would only traverse the collection of numbers once.

Each of these are written as a function that would be given a collection of numbers. Whatever a collection means in that particular language. Some languages have multiple solutions that might have different tradeoffs.

hands down neu23332

w c l d _   _ u o y '
r s n t p   k a e i h
_ f m g b   j x , . _

hands down neu23332-hindex

w c l d _   _ y o u '

To use, copy file to ~/.config/kak/ directory and add the following lines to your kakrc:

set -add global windowing_modules windowsterminal
require-module windowsterminal

	import cadquery as cq, math
	from typing import Optional
	from dataclasses import dataclass

	rot_axis_z = ((0, 0, 0), (0, 0, 1))

	@dataclass
	class Config:
	x: float = 18 # Width of key (not keycap) outline; length for thumbs
	y: float = 17 # Length of key (not keycap) outline; width for thumbs

	// Paste this into new blank query called Complete2

	(table as table, columnName1 as text, columnName2 as text) as table =>
	let
	allColumnNames = Table.ColumnNames(table),
	otherColumnNames = List.RemoveMatchingItems(allColumnNames, {columnName1, columnName2}),
	crossed = Crossing2(table, columnName1, columnName2),
	joined = Table.NestedJoin(crossed, {columnName1, columnName2}, table, {columnName1, columnName2}, "crossing", JoinKind.FullOuter),
	expanded = Table.ExpandTableColumn(joined, "crossing", otherColumnNames),
	reordered = Table.ReorderColumns(expanded, allColumnNames)

	library(tidyverse)

	inventory <- read_csv(
	"day01.txt", col_names = "calories", skip_empty_rows = FALSE
	)

	calories_by_elf <-
	inventory \|>
	mutate(elf = cumsum(is.na(calories))) \|>
	drop_na() \|>

	units:
	# Parameters
	# ==========
	capx: 14.5 # Keycap dimensions
	capy: 14.5
	kx: 15 # Key spacing dimensions
	ky: 15

	# Constants
	# =========

	(setq custom-file (locate-user-emacs-file "custom.el"))
	(load custom-file :no-error-if-file-is-missing)

	;;; Set up the package manager

	(require 'package)
	(package-initialize)

	(add-to-list 'package-archives '("melpa" . "https://melpa.org/packages/"))