sarthakpranesh

# I use MacOS VMs from github for iOS development.
# By no suprise they are a bit slow and have a lot of things I don't use
# Hence this script for lighter and better VM for my iOS development and builds
# GUI and animation related things to tweak
defaults write NSGlobalDomain NSAutomaticWindowAnimationsEnabled -bool false
defaults write NSGlobalDomain NSWindowResizeTime -float 0.001
defaults write -g QLPanelAnimationDuration -float 0
defaults write com.apple.dock autohide-time-modifier -float 0
defaults write com.apple.dock launchanim -bool false
sudo sysctl debug.lowpri_throttle_enabled=0

jtojnar

Nix is a package manager that you can install in parallel with your system package manager on Linux or MacOS. It allows you to effortlesly build any of the thousands of packages defined in the nixpkgs repository or write your own package expressions. Packages in the nixpkgs repository get periodically built by our CI server so the GIMP dependencies will be obtained from binary cache saving you time.

To obtain Nix, you can simply run an installation script, or use your package manager if it is packaged in your distro repositories. Notably, there is a package in Arch’s AUR and Debian Unstable.

The pull request containing changes for the latest changes for GIMP master is NixOS/nixpkgs#67576. I usually update the branch several times a month to point to t

anatolebeuzon

import logging
import os

from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.common.exceptions import NoSuchElementException, TimeoutException
from joblib import Parallel, delayed

jlafall

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._

object WordCountKafkaCouchbase {
  def main(args: Array[String]) {
    // create spark session with settings
    val spark = SparkSession
      .builder
      .appName("Word Count Test")
      .config("spark.couchbase.username", "[username goes here]")

polvi

Easiest HDFS cluster in the world with kubernetes.

Inspiration from kimoonkim/kubernetes-HDFS

kubectl create -f namenode.yaml
kubectl create -f datanode.yaml

Setup a port-forward to so you can see it is alive:

yoyama

/**
  * Generate Case class from DataFrame.schema
  *
  *  val df:DataFrame = ...
  *
  *  val s2cc = new Schema2CaseClass
  *  import s2cc.implicit._
  *
  *  println(s2cc.schemaToCaseClass(df.schema, "MyClass"))
  *

ursuad

Kafka Topics

List existing topics

bin/kafka-topics.sh --zookeeper localhost:2181 --list

Describe a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --describe --topic mytopic

Purge a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000

... wait a minute ...

ericpulvino

#!/usr/bin/python

import sys
import time
import socket
import struct
import logging
import binascii
import subprocess

zoltanctoth

from pyspark.sql.types import StringType
from pyspark.sql.functions import udf

maturity_udf = udf(lambda age: "adult" if age >=18 else "child", StringType())

df = spark.createDataFrame([{'name': 'Alice', 'age': 1}])
df.withColumn("maturity", maturity_udf(df.age))

df.show()

yeokm1

Adapted from here

1. Install all packages

sudo apt-get update
sudo apt-get install php5 php5-pgsql php5-fpm php-apc php5-curl php5-cli postgresql nginx git

2. Configure PostgresSQL