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@chitchcock
chitchcock / 20111011_SteveYeggeGooglePlatformRant.md
Created October 12, 2011 15:53
Stevey's Google Platforms Rant

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

@hrldcpr
hrldcpr / tree.md
Last active September 1, 2024 07:04
one-line tree in python

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

@jboner
jboner / latency.txt
Last active November 17, 2024 11:32
Latency Numbers Every Programmer Should Know
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
@econchick
econchick / gist:4666413
Last active December 22, 2023 13:32
Python implementation of Dijkstra's Algorithm
class Graph:
def __init__(self):
self.nodes = set()
self.edges = defaultdict(list)
self.distances = {}
def add_node(self, value):
self.nodes.add(value)
def add_edge(self, from_node, to_node, distance):
@Stanback
Stanback / nginx.conf
Last active October 1, 2024 23:28 — forked from michiel/cors-nginx.conf
Example Nginx configuration for adding cross-origin resource sharing (CORS) support to reverse proxied APIs
#
# CORS header support
#
# One way to use this is by placing it into a file called "cors_support"
# under your Nginx configuration directory and placing the following
# statement inside your **location** block(s):
#
# include cors_support;
#
# As of Nginx 1.7.5, add_header supports an "always" parameter which
@kevin-smets
kevin-smets / iterm2-solarized.md
Last active November 14, 2024 15:40
iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)

Default

Default

Powerlevel10k

Powerlevel10k

@whyvez
whyvez / install-psycopg2.sh
Last active July 13, 2022 02:58
install psycopg2 on aws linux
sudo yum install gcc python27 python27-devel postgresql-devel
sudo curl https://bootstrap.pypa.io/ez_setup.py -o - | sudo python27
sudo /usr/bin/easy_install-2.7 pip
sudo pip2.7 install psycopg2
@oubiwann
oubiwann / ring.lfe
Last active December 14, 2019 00:43
Ring Benchmark in Lisp Flavored Erlang
;; The code below was translated from the Erlang ring benchmark hosted
;; at http://benchmarksgame.alioth.debian.org, written by Jiri Isa and
;; optimized by Shun Shino:
;; http://goo.gl/5YOjg3
;;
;; The LFE version split the logic of the above-mentioned Erlang code
;; into more functions for increased clarity.
;;
(defmodule ring
(export
@alexsavio
alexsavio / mcmc
Last active October 2, 2020 22:35 — forked from osdf/gist:5133737
Simple MCMC sampling with Python
"""
Some python code for
Markov Chain Monte Carlo and Gibs sampling
by Bruce Walsh
"""
import numpy as np
import numpy.linalg as npla
@vasanthk
vasanthk / System Design.md
Last active November 17, 2024 14:09
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?