dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

hSATAC

package main

import (
    "log"
    "net/http"
)

func redirect(w http.ResponseWriter, r *http.Request) {

    http.Redirect(w, r, "http://www.google.com", 301)

Mortimerp9

import scala.concurrent.Await
import scala.concurrent.ExecutionContext
import scala.concurrent.Future
import scala.concurrent.blocking
import scala.concurrent.duration.Deadline
import scala.concurrent.duration.Duration
import scala.concurrent.duration.DurationInt
import scala.concurrent.duration.DurationLong
import scala.concurrent.future
import scala.concurrent.promise

heatxsink

/*
glog-example
------------

background
---
You probably want to read the source code comments at the top of the glog.go file in 
the golang/glog repository on github.com. Located here: https://github.com/golang/glog/blob/master/glog.go

setup

fancellu

object MergeSort {

		// recursive merge of 2 sorted lists
	def merge(left: List[Int], right: List[Int]): List[Int] =
        (left, right) match {
	        case(left, Nil) => left
	        case(Nil, right) => right
	        case(leftHead :: leftTail, rightHead :: rightTail) =>
	          if (leftHead < rightHead) leftHead::merge(leftTail, right)
	          else rightHead :: merge(left, rightTail)

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

alexislucena

Install Scala 2.11.8

$ sudo apt-get remove scala-library scala
$ sudo wget www.scala-lang.org/files/archive/scala-2.11.8.deb
$ sudo dpkg -i scala-2.11.8.deb

Check Scala version

$ scala -version

ruzickap

---
- name: Create Instance in AWS
  hosts: localhost
  connection: local
  gather_facts: false

  vars:
    aws_access_key: "xxxxxx"
    aws_secret_key: "xxxxxx"
    security_token: "xxxxxx"

jubel-han

node {
    stage 'Checkout and Build' 
    
    createVirtualEnv 'env'
    executeIn 'env', 'pip install -r requirements.txt'
    executeIn 'env', './manage.py test'
    executeIn 'env', './manage.py integration-test'
    
    virtualEnv('true')
    runCmd('pip install -r requirements.txt')

EvenOldridge

import numpy as np
import tensorflow as tf
import keras as k

from keras.applications.resnet50 import ResNet50

from keras import backend as K
from keras.layers.core import Flatten, Dense, Dropout, Lambda
from keras.models import Model
from keras.preprocessing import image