Adam H. Sparks adamhsparks

brew is a bad neighbor

This isn't a guide about locking down homebrew so that it can't touch the rest of your system security-wise.

This guide doesn't fix the inherent security issues of a package management system that will literally yell at you if you try to do something about "huh, maybe it's not great my executables are writeable by my account without requiring authorization first".

But it absolutely is a guide about shoving it into its own little corner so that you can take it or leave it as you see fit, instead of just letting the project do what it likes like completely taking over permissions and ownership of a directory that might be in use by other software on your Mac and stomping all over their contents.

By following this guide you will:

Never have to run sudo to forcefully change permissions of some directory to be owned by your account

NASA POWER Cheatsheet

Meteorology

Spatial resolution of 0.5 x 0.625 degrees of latitude and longitude respectively

	# Fetch historical weather data with Python using various packages

	# use plotnine for graphing
	from plotnine import *
	import pandas as pd
	import pathlib


	# pynasapower
	# Fetches NASA POWER data

	library("nasapower")
	library("purrr")
	library("dplyr")

	df <- data.frame(
	stringsAsFactors = FALSE,
	lon = c(151.81, 112.5, 115.5),
	lat = c(-27.48, -55.5, -50.5),
	date = c("3/3/2023", "5/12/2023", "1/3/2024")
	)

	# Get all DPIRD boundary data sets available from the Public Services Slip WA and save data for use in an R package.

	# HT to Thierry Onkelinx, Hans Van Calster, Floris Vanderhaeghe for their post,
	# <https://inbo.github.io/tutorials/tutorials/spatial_wfs_services/>, but I
	# modified this to work to save .Rds files for use in an R package, not just
	# saving to disk and chose to use {httr2} in place of {httr}.

	# NOTE: This URL is only for public boundaries,
	<https://public-services.slip.wa.gov.au/public/services/SLIP_Public_Services/Boundaries_WFS/MapServer/WFSServer>,
	there are others, see <https://catalogue.data.wa.gov.au/dataset> for other orgs and types of data

	window:
	# Window dimensions (changes require restart)
	#
	# Number of lines/columns (not pixels) in the terminal. The number of columns
	# must be at least `2`, while using a value of `0` for columns and lines will
	# fall back to the window manager's recommended size.
	dimensions:
	columns: 500
	lines: 30

	# This is now available into ggpercentogram.
	# https://github.com/eliocamp/ggpercentogram/
	StatQuantileBin <- ggplot2::ggproto("StatQuantileBin", ggplot2::StatBin,
	default_aes = ggplot2::aes(x = ggplot2::after_stat(density), y = ggplot2::after_stat(density), weight = 1),
	compute_group = function(data, scales,
	binwidth = NULL, bins = 30, breaks = NULL, trim = 0,
	closed = c("right", "left"), pad = FALSE,
	flipped_aes = FALSE,
	# The following arguments are not used, but must
	# be listed so parameters are computed correctly

	## Goal: reproduce e.g. https://www.reddit.com/r/oddlysatisfying/comments/uc054a/lissajous_polygons

	using Plots
	import GeometryBasics: Point

	## https://jcarroll.xyz/2022/04/07/interpolation-animation-in.html
	interpolate(a, b) = t -> ((1.0 - t) * a + t * b)

	## define the vertices of an N-gon

	function audpc(evaluation, dates)
	n = length(evaluation) - 1
	disvec = Base.zeros(n)
	datevec = Base.zeros(n)
	out = 0.0

	for i in 1:n
	disvec[i] = (evaluation[i] + evaluation[i + 1]) / 2
	datevec[i] = dates[i + 1] - dates[i]
	out = sum(disvec .* datevec)

	library(tidyverse)
	library(scholar)

	# get from scholar profile urlafter "/citations?user=" and before "=en"
	id_authorname <- "TQQzkCwAAAAJ&hl"
	profile_authorname <- get_profile(id_authorname)
	profile_authorname


	library(googlesheets4)

Adam H. Sparks adamhsparks

brew is a bad neighbor

NASA POWER Cheatsheet

Table of contents

Meteorology