jcmkk3

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

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

jcmkk3

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 '

jcmkk3

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.

jcmkk3

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() |>

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

jcmkk3

// 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)

jcmkk3

jcmkk3

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