chandu

import scala.annotation.{StaticAnnotation, compileTimeOnly}
import scala.language.experimental.macros
import scala.reflect.macros.whitebox.Context

@compileTimeOnly("use macro paradise")
class Extends[T](defaults: Any*) extends StaticAnnotation {
  def macroTransform(annottees: Any*): Any = macro Extends.impl
}

object Extends {

chandu

object BinTreeIterator {
  sealed trait Tree
  case class Node(v: Int, l: Tree, r: Tree) extends Tree
  case object Leaf extends Tree

  def toIterator(node: Tree): Iterator[Int] = {
    def toStream(n: Tree): Stream[Int] = n match {
      case Node(v, l, r) => v #:: toStream(l) #::: toStream(r)
      case Leaf => Stream.empty
    }

chandu

object FinanceDSL extends App {

  trait PrettyPrint[A] {
    def prettify(a: A): String
    class Ops(a: A) {
      def pretty: String = prettify(a)
    }
  }
  object PrettyPrint {

chandu

package sparky

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

import scala.math.random

object Application {
  def runSpark(args: Array[String] ): Unit = {
    val spark = SparkSession

chandu

@echo off
REM Install Ghostscript 64bit from http://www.ghostscript.com/download/gsdnld.html
REM Shrink all pdfs files in the current directory where this script is run and output to the
REM compressed sub-folder
setlocal
set GS_BIN=C:\Program Files\gs\gs9.15\bin\gswin64c.exe
set GS_OUTPUT_DIR=compressed
mkdir %GS_OUTPUT_DIR% 
for %%i in (*.pdf) do "%GS_BIN%" -dNOPAUSE -dBATCH -dSAFER -dPDFSETTINGS=/printer -dCompatibilityLevel=1.4 -sDEVICE=pdfwrite -sOutputFile="%GS_OUTPUT_DIR%\%%i" "%%i"

chandu

const PageNotFoundComponent = { 
	template: `
   	<div class="alert alert-danger" role="alert">
			<h1>Page {{notFoundRoute}} not found</h1>
			We tried hard, but unfotunately could not find a page that matches your request. :(
		</div>
   `,
   	data() {
   		return {
   			notFoundRoute: ""

chandu

/*Code attribution: http://stackoverflow.com/questions/24827964/browserify-with-twitter-bootstrap#answer-24834257*/
{
  "name": "...",
  "version": "0.0.1",
  "description": "...",
  "repository": {
    "type": "git",
    "url": "..."
  },
  "browser": {

chandu

Caveat

The tables in this cheatsheet only make sense after you study all thes mentioned data structures and algorithms below.

Do not memorize them, learn how the underlying algorithms work, read the source.

This cheat sheet is just a quick reference to give an broad brush strokes overview of how the most frequently-used data structures and algorithms relate to each other, in terms of time and space complexity.

chandu

{
  "vars": {
    "@gray-darker": "lighten(#000, 13.5%)",
    "@gray-dark": "lighten(#000, 20%)",
    "@gray": "lighten(#000, 33.5%)",
    "@gray-light": "lighten(#000, 46.7%)",
    "@gray-lighter": "lighten(#000, 93.5%)",
    "@brand-primary": "#428bca",
    "@brand-success": "#5cb85c",
    "@brand-info": "#5bc0de",

chandu

var modules= require('modules');
var jquery = require(modules.jquery);
/// Do something with the jquery