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@friggeri
friggeri / haiku
Created October 6, 2011 07:30
random heroku-like name generator
haiku = ->
adjs = [
"autumn", "hidden", "bitter", "misty", "silent", "empty", "dry", "dark",
"summer", "icy", "delicate", "quiet", "white", "cool", "spring", "winter",
"patient", "twilight", "dawn", "crimson", "wispy", "weathered", "blue",
"billowing", "broken", "cold", "damp", "falling", "frosty", "green",
"long", "late", "lingering", "bold", "little", "morning", "muddy", "old",
"red", "rough", "still", "small", "sparkling", "throbbing", "shy",
"wandering", "withered", "wild", "black", "young", "holy", "solitary",
"fragrant", "aged", "snowy", "proud", "floral", "restless", "divine",
@jlong
jlong / uri.js
Created April 20, 2012 13:29
URI Parsing with Javascript
var parser = document.createElement('a');
parser.href = "http://example.com:3000/pathname/?search=test#hash";
parser.protocol; // => "http:"
parser.hostname; // => "example.com"
parser.port; // => "3000"
parser.pathname; // => "/pathname/"
parser.search; // => "?search=test"
parser.hash; // => "#hash"
parser.host; // => "example.com:3000"
@dentearl
dentearl / haiku.py
Created August 23, 2012 21:31 — forked from hasenj/haiku.py
Heroku-ish name generator, Python
from random import choice
def heroku(hex=False):
# modified by @dentearl https://gist.github.com/3442096
# who forked from @hasenj https://gist.github.com/3205543
# who forked from: @afriggeri https://gist.github.com/1266756
# example output:
# 'golden-horizon-2076'
adjs = ['afternoon', 'aged', 'ancient', 'autumn', 'billowing',
'bitter', 'black', 'blue', 'bold', 'broken',
'calm', 'caring', 'cold', 'cool', 'crimson',
@amaxwell01
amaxwell01 / interviewitems.MD
Created September 15, 2012 14:17
My answers to over 100 Google interview questions

##Google Interview Questions: Product Marketing Manager

  • Why do you want to join Google? -- Because I want to create tools for others to learn, for free. I didn't have a lot of money when growing up so I didn't get access to the same books, computers and resources that others had which caused money, I want to help ensure that others can learn on the same playing field regardless of their families wealth status or location.
  • What do you know about Google’s product and technology? -- A lot actually, I am a beta tester for numerous products, I use most of the Google tools such as: Search, Gmaill, Drive, Reader, Calendar, G+, YouTube, Web Master Tools, Keyword tools, Analytics etc.
  • If you are Product Manager for Google’s Adwords, how do you plan to market this?
  • What would you say during an AdWords or AdSense product seminar?
  • Who are Google’s competitors, and how does Google compete with them? -- Google competes on numerous fields: --- Search: Baidu, Bing, Duck Duck Go
#!/bin/bash
# Usage: ./gen.sh collected-stacks.txt
TMPSTACKS=/tmp/flamegraph-stacks-collapsed.txt
TMPPALETTE=/tmp/flamegraph-palette.map
./stackcollapse-jstack.pl $1 > $TMPSTACKS
# 1st run - hot: default
@gubatron
gubatron / compiling_building_c_cpp_notes.md
Last active October 2, 2024 03:02
Things to remember when compiling and linking C/C++ programs

Things to remember when compiling/linking C/C++ software

by Angel Leon. March 17, 2015;

Last update on December 14, 2023

Updated on February 27, 2023

Updated August 29, 2019.

Generating Flame Graphs for Apache Spark

Flame graphs are a nifty debugging tool to determine where CPU time is being spent. Using the Java Flight recorder, you can do this for Java processes without adding significant runtime overhead.

When are flame graphs useful?

Shivaram Venkataraman and I have found these flame recordings to be useful for diagnosing coarse-grained performance problems. We started using them at the suggestion of Josh Rosen, who quickly made one for the Spark scheduler when we were talking to him about why the scheduler caps out at a throughput of a few thousand tasks per second. Josh generated a graph similar to the one below, which illustrates that a significant amount of time is spent in serialization (if you click in the top right hand corner and search for "serialize", you can see that 78.6% of the sampled CPU time was spent in serialization). We used this insight to spee

@sadikovi
sadikovi / Tree.java
Created March 5, 2017 05:01
BST with AVL balancing, only supports inserts and check if element is in the tree
public class Tree<T extends Comparable<T>> {
static class TreeNode<T> {
T value;
int height;
TreeNode<T> left;
TreeNode<T> right;
public TreeNode(T value) {
this.value = value;
this.height = 0;