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@OrionReed
OrionReed / dom3d.js
Last active October 5, 2024 08:53
3D DOM viewer, copy-paste this into your console to visualise the DOM topographically.
// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
const SHOW_SIDES = false; // color sides of DOM nodes?
const COLOR_SURFACE = true; // color tops of DOM nodes?
const COLOR_RANDOM = false; // randomise color?
const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
const MAX_ROTATION = 180; // set to 360 to rotate all the way round
const THICKNESS = 20; // thickness of layers
const DISTANCE = 10000; // ¯\\_(ツ)_/¯
@bastman
bastman / docker-cleanup-resources.md
Created March 31, 2016 05:55
docker cleanup guide: containers, images, volumes, networks

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

@ericclemmons
ericclemmons / example.md
Last active September 20, 2024 12:46
HTML5 <details> in GitHub

Using <details> in GitHub

Suppose you're opening an issue and there's a lot noisey logs that may be useful.

Rather than wrecking readability, wrap it in a <details> tag!

<details>
 Summary Goes Here
@killercup
killercup / pandoc.css
Created July 3, 2013 11:31
Add this to your Pandoc HTML documents using `--css pandoc.css` to make them look more awesome. (Tested with Markdown and LaTeX.)
/*
* I add this to html files generated with pandoc.
*/
html {
font-size: 100%;
overflow-y: scroll;
-webkit-text-size-adjust: 100%;
-ms-text-size-adjust: 100%;
}
@lmullen
lmullen / gist:3767386
Created September 22, 2012 18:50
Make all markdown files in directory into PDFs
# Produce PDFs from all Markdown files in a directory
# Lincoln Mullen | http://lincolnmullen.com | lincoln@lincolnmullen.com
# List files to be made by finding all *.md files and appending .pdf
PDFS := $(patsubst %.md,%.md.pdf,$(wildcard *.md))
# The all rule makes all the PDF files listed
all : $(PDFS)
# This generic rule accepts PDF targets with corresponding Markdown
@jrsmith3
jrsmith3 / doi2bib.py
Last active May 17, 2024 17:43
Python method to access crossref.org DOI bibtex metadata resolver
import requests
def doi2bib(doi):
"""
Return a bibTeX string of metadata for a given DOI.
"""
url = "http://dx.doi.org/" + doi
headers = {"accept": "application/x-bibtex"}

Screencapture and animated gifs

I say "animated gif" but in reality I think it's irresponsible to be serving "real" GIF files to people now. You should be serving gfy's, gifv's, webm, mp4s, whatever. They're a fraction of the filesize making it easier for you to deliver high fidelity, full color animation very quickly, especially on bad mobile connections. (But I suppose if you're just doing this for small audiences (like bug reporting), then LICEcap is a good solution).

Capturing (Easy)

  1. Launch quicktime player
  2. do Screen recording

screen shot 2014-10-22 at 11 16 23 am

@hadley
hadley / ds-training.md
Created March 13, 2015 18:49
My advise on what you need to do to become a data scientist...

If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?

I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:

  • Statistical knowledge
  • Programming/hacking skills
  • Domain expertise

Statistical knowledge

@emilyriederer
emilyriederer / ugliest-ggplot-theme.R
Last active May 11, 2023 06:35
A very, very ugly ggplot2 to demonstrate the wide variety of ggplot2 theme() options
library(ggplot2)
# sample data for plot ----
points <-
data.frame(
x = rep(1:10,3),
y = rep(1:10,3),
z = sort(rep(letters[1:2], 15)),
w = rep(letters[3:4], 15)
)
# ggplot using many theme options ----
msg <- function(..., prob = 0.25) {
if (runif(1) > prob) {
return(invisible())
}
messages <- c(...)
message(sample(messages, 1))
}
encourage <- function() {