Changsu Jiang chsjiang

I get asked pretty regularly what my opinion is on merge commits vs rebasing vs squashing. I've typed up this response so many times that I've decided to just put it in a gist so I can reference it whenever it comes up again.

I use merge, squash, rebase all situationally. I believe they all have their merits but their usage depends on the context. I think anyone who says any particular strategy is the right answer 100% of the time is wrong, but I think there is considerable acceptable leeway in when you use each. What follows is my personal and professional opinion:

Cryptography

https://github.com/spieglt/cloaker - password-based file encryptor (NOTE: uses Qt)
https://github.com/str4d/rage - file encryption tool and librarary that uses the age format

Media

https://github.com/mohanson/gameboy - gameboy emulator
https://github.com/bartwillems/lyriek - fetch the lyrics of a song playing in an mpris-compatible player
https://github.com/JakeStanger/mpd-discord-rpc - discordrpc for mpd

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

Linux NetFilter, IP Tables and Conntrack Diagrams

IPTABLES TABLES and CHAINS

IPTables has the following 4 built-in tables.

1) Filter Table

Filter is default table for iptables. So, if you don’t define you own table, you’ll be using filter table. Iptables’s filter table has the following built-in chains.

Feature Learning

Learning Feature Representations with K-means by Adam Coates and Andrew Y. Ng
The devil is in the details: an evaluation of recent feature encoding methods by Chatfield et. al.
Emergence of Object-Selective Features in Unsupervised Feature Learning by Coates, Ng
Scaling Learning Algorithms towards AI Benjio & LeCun
A Theory of Feature Learning by Brendan van Rooyen, Robert C. Williamson

Deep Learning

Dropout: A Simple Way to Prevent Neural Networks from Overfitting by Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov
[Understanding

	--[[
	Provides custom authorization for nginx.
	See the `nginx_authorize_by_lua.conf` for the Nginx config. This lua file is referenced in the config
	See testWebserverAccess.sh for unit tests.

	To Run nginx (make sure you have the lua, config and htpasswd file):
	$ /usr/local/openresty/nginx/sbin/nginx -c /etc/nginx/conf/nginx_authorize_by_lua.conf

	Logs are available at: /usr/local/openresty/nginx/logs/lua.log
	To write to the log:

	package main

	import (
	"net/http"
	"database/sql"
	"fmt"
	"log"
	"os"
	)

	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

	package mojolly.io

	import org.jboss.netty.bootstrap.ClientBootstrap
	import org.jboss.netty.channel._
	import socket.nio.NioClientSocketChannelFactory
	import java.util.concurrent.Executors
	import org.jboss.netty.handler.codec.http._
	import collection.JavaConversions._
	import websocketx._
	import java.net.{InetSocketAddress, URI}