rwaldron

git branch | wc -l

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

kethinov

// List all files in a directory in Node.js recursively in a synchronous fashion
var walkSync = function(dir, filelist) {
  var fs = fs || require('fs'),
      files = fs.readdirSync(dir);
  filelist = filelist || [];
  files.forEach(function(file) {
    if (fs.statSync(dir + file).isDirectory()) {
      filelist = walkSync(dir + file + '/', filelist);
    }
    else {

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

tadast

ariel-symphony

onPrepare: function() {
    var disableNgAnimate = function() {
        angular
            .module('disableNgAnimate', [])
            .run(['$animate', function($animate) {
                $animate.enabled(false);
            }]);
    };

    var disableCssAnimate = function() {

kylemcdonald

import PIL.Image
from cStringIO import StringIO
import IPython.display
import numpy as np
def showarray(a, fmt='png'):
    a = np.uint8(a)
    f = StringIO()
    PIL.Image.fromarray(a).save(f, fmt)
    IPython.display.display(IPython.display.Image(data=f.getvalue()))

joyrexus

collapsible markdown?

CLICK ME

yes, even hidden code blocks!

print("hello world!")

ro31337

Docker Completion for Zsh (Official)

• mkdir -p ~/.oh-my-zsh/plugins/docker/
• curl -fLo ~/.oh-my-zsh/plugins/docker/_docker https://raw.githubusercontent.com/docker/cli/master/contrib/completion/zsh/_docker
• Add docker to plugins section in ~/.zshrc
• exec zsh

jganzabal

This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware