View code.kt
/*
* Copyright 2017 Google, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
View example.html
<!DOCTYPE NETSCAPE-Bookmark-file-1>
<META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=UTF-8">
<!-- This is an automatically generated file.
It will be read and overwritten.
Do Not Edit! -->
<TITLE>Bookmarks</TITLE>
<H1>Bookmarks</H1>
<DL><p>
<DT><A HREF="https://developer.apple.com/library/mac/releasenotes/InterapplicationCommunication/RN-JavaScriptForAutomation/index.html#//apple_ref/doc/-%20uid/TP40014508" ADD_DATE="1414706885" PRIVATE="0" TAGS="javascript,mac,osx,yosemite">JavaScript for Automation Release Notes</A>
<DD>This article describes JavaScript for Automation, a new feature in OS X Yosemite.
View install.sh
# check for updates
sudo apt-get update
sudo apt-get upgrade
# install necessary software
sudo apt-get install mysql-server apache2 php5 libapache2-mod-php5 php5-mysql libapache2-mod-auth-mysql php5-curl git sendmail
# create DB
echo "CREATE DATABASE OpenVBX; GRANT ALL PRIVILEGES ON OpenVBX.* TO ubuntu@localhost IDENTIFIED BY {PASSWORD_HERE}; FLUSH PRIVILEGES" | sudo mysql -p
View tf.sh
# 1. Install CUDA
# Preparation
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install tmux build-essential gcc g++ make binutils
sudo apt-get install software-properties-common
# Download Cuda toolkit (Nvidia driver included)
cd ~/Downloads
# Download CUDA 8.0 from this https://developer.nvidia.com/cuda-80-ga2-download-archive, not 9.0
View install-proxychains-ng.sh
#!/bin/sh
# Usage:
# wget -O- https://gist.githubusercontent.com/ifduyue/dea03b4e139c5758ca114770027cf65c/raw/install-proxychains-ng.sh | sudo bash -s
set -eu
version=4.12
wget https://github.com/rofl0r/proxychains-ng/archive/v$version.tar.gz
tar xf v$version.tar.gz
View latency.txt
Latency Comparison Numbers
--------------------------
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
View extract android kernel.md

Extracting Existing Kernel + Ramfs

Enter the machine using adb shell

Run cat /proc/partitions

  #  Path                     Purpose        Size
  0 /dev/block/mmcblk0                       7761920
  1 /dev/block/mmcblk0p1      data           6085631
View useful_pandas_snippets.py
# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()
# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])
# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!
View CustomRules.js
import System;
import System.Windows.Forms;
import Fiddler;
// INTRODUCTION
//
// Well, hello there!
//
// Don't be scared! :-)
//
View min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)