mightybyte

Haskell Language Extension Taxonomy

Caveat: It's just personal opinion, and was written to be a bit provocative and encourage discussion . It is also something that is constantly evolving. Some of the main criteria I used in constructing this taxonomy are age, how widely used it us, and how well understood it is by the average Haskell programmer. These things will change over time.

Aso, this is focused on appropriateness for use in commercial production code bases. If you are not thinking about commercial use with a team of multiple

joshbuchea

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

bembu

"""
	A script that acts as a messaging bridge between Telegram and IRC.
	Works in Python 3.x

	Installation:
	1.	pip install pydle
	2.	go create a Telegram bot by talking to BotFather (https://telegram.me/botfather)
	3.	create a telegram group, and send a curl to:
		curl -s -X POST "https://api.telegram.org/bot<BOT_TOKEN>w/getUpdates"
	4.	get the group_id from the response

magarcia

layout	title	description	date	tags
page	YumML, use YumML, not XML	Yet Another Recipe Metadata Language - you know, for food.	2011-09-21	food yumml

I won't beat around the bush - existing metadata formats for food recipes suck. Alone that would be my typical bold/arrogant claim, so I present my findings on five different formats (RecipeML, Recipe Exchange Markup Language, CookML and RecipeBook XML) to backup that statement, and then my proposed format. There was a sixth format I was looking into - MealMaster - but the recipe structure doesn't seem to be defined anywhere and as far as I know the only program to use it is MealMaster itself.

logrusorgru

-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
--                                                                            --
--                                  mysql                                     --
--                                                                            --
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --

--
-- mysql <http://sqlfiddle.com/#!9/91afb5/2>
--        note: sqlfiddle is very stupid

jezen

 __   __    _     ___ _             _           
 \ \ / /_ _| |__ / __| |_  __ ___ _(_)_ _  __ _ 
  \ V / _` | / / \__ \ ' \/ _` \ V / | ' \/ _` |
   |_|\__,_|_\_\ |___/_||_\__,_|\_/|_|_||_\__, |
                                          |___/                  YAK SHAVING LTD
                                                                 ═══════════════
                                                        Company Number: 09522289

                                                            73 Douglas Buildings
                                                                 Marshalsea Road

nylki

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.

4z3

#! /bin/sh
set -euf

# TODO NIX_GHC=$(type -P ghc) NIX_GHC_DOCDIR=$(dirname $(dirname $(type -P ghc)))/share/doc/ghc/html
#       if unset: this is for e.g. emse-hdsb

main() {

  pkg=$(dirname $(dirname $NIX_GHC))
  

mboersma

python3 -c 'import sys, yaml, json; y=yaml.safe_load(sys.stdin.read()); print(json.dumps(y))'