How to use:
./wordle.sh
Or try the unlimit mode:
[{ | |
"romaji": "Agari", | |
"kanji": "和がり", | |
"english": "Win", | |
"explanation": "Generic call for winning a hand." | |
}, | |
{ | |
"romaji": "Agaripai", | |
"kanji": "和がり牌", | |
"english": "Winning tile", |
As of January 2018, Raspbian does not yet include the latest Python release, Python 3.6. This means we will have to build it ourselves, and here is how to do it. There is also an ansible role attached that automates it all for you.
Long ago, the first time I read "The Pragmatic Programmer", I read some advice that really stuck with me.
"Don't Use Manual Procedures".
This in the chapter on Ubiquitous Automation. To summarize, they want you to automate all the things.
The trouble was that I hadn't much of an idea how to actually go
{ | |
init: function(elevators, floors) { | |
elevators.forEach(function(e) { | |
e.isDestination = function(floorNum) { | |
return e.destinationQueue.indexOf(floorNum) != -1; | |
} | |
e.on("floor_button_pressed", function(floorNum) { | |
if (!e.isDestination(floorNum)) | |
e.goToFloor(floorNum); |
I wanted to install gitlab on my shared hosting server at webfaction and here's how I did it. Be warned it's a memory hog. I couldn't get it below 450Mb. Also... this is for their newer 64 bit servers. I tried on a 32 bit server and didn't want to waste a day tracking down dependencies.
Create a new app (using python)
import cv2 | |
import numpy as np | |
canny = rho = threshold = minLen = maxGap = None | |
def draw(): | |
lines = cv2.HoughLinesP(canny, rho, np.pi / 180, | |
threshold, None, minLen, maxGap) | |
dst = cv2.cvtColor(canny, cv2.COLOR_GRAY2BGR) |
This is my default career advice for people starting out in geo/GIS, especially remote sensing, adapted from a response to a letter in 2013.
I'm currently about to start a Geography degree at the University of [Redacted] at [Redacted] with a focus in GIS, and I've been finding that I have an interest in working with imagery. Obviously I should take Remote Sensing and other similar classes, but I'm the type of person who likes to self learn as well. So my question is this: What recommendations would you give to a student who is interested in working with imagery? Are there any self study paths that you could recommend?
I learned on my own and on the job, and there are a lot of important topics in GIS that I don’t know anything about, so I can’t give comprehensive advice. I haven’t arrived anywhere; I’m just ten minutes ahead in the convoy we’re both in. Take these recommendations critically.
Find interesting people. You’ll learn a lot more from a great professor (or mentor, or friend, or conference) o
#!/usr/local/bin/node | |
// PBS 12/5/13 | |
// This is a BBEdit text filter for indenting (and beautifying) JavaScript. | |
// It goes in ~/Library/Application Support/BBEdit/Text Filters/ | |
// | |
// On my machine I assigned it a keyboard shortcut: cmd-' | |
// | |
// It requires the js-beautify Node module: https://github.com/einars/js-beautify | |
// |
git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."
bumpversion patch