literadix

const jsonTimeLayout = "2006-01-02T15:04:05+07:00"

// JSONTime is the time.Time with JSON marshal and unmarshal capability
type JSONTime struct {
	time.Time
}

// UnmarshalJSON will unmarshal using 2006-01-02T15:04:05+07:00 layout
func (t *JSONTime) UnmarshalJSON(b []byte) error {
	parsed, err := time.Parse(jsonTimeLayout, string(b))

literadix

Archwomen.ics file

BEGIN:VCALENDAR
PRODID:-//Mozilla.org/NONSGML Mozilla Calendar V1.1//EN
VERSION:2.0
BEGIN:VEVENT
CREATED:20170220T182458Z
LAST-MODIFIED:20170220T182458Z
DTSTAMP:20170220T182458Z

literadix

README

The example below creates a TCP server listening on a stream (i.e. SOCK_STREAM) socket. A similar approach can be followed to create a UDP server on a datagram (i.e. SOCK_DGRAM) socket. See man systemd.socket for details.

An example server

Create an simple echo server at ~/tmp/foo/serve.py.

literadix

1. Install pre-requisities

sudo apt-get install build-essential tcl

2. Install Redis

cd /tmp
curl -O http://download.redis.io/redis-stable.tar.gz
tar xzvf redis-stable.tar.gz

literadix

extern crate num;
use num::bigint::BigInt;

fn main() {

    match "123123123123123123123".parse::<BigInt>() {
        Ok(n)  => println!("{}", n),
        Err(_) => println!("Error")
    }
    

literadix

Tools

Located in alphabetical order (not prefer)

• ab – slow and single threaded, written in C
• apib – most of the features of ApacheBench (ab), also designed as a more modern replacement, written in C
• baloo – Expressive end-to-end HTTP API testing made easy, written in Go (golang)
• bombardier – Fast crossplatform HTTP benchmarking tool, written in Go (golang)
• curl-loader – performance loading of various application services and traffic generation, written in C
• gatling – High performance load testing framework based on Scala, Akka and Netty, write in Scala

literadix

var Rx = require('rx');

var zipper = function () {
    // Turning arguments from an object into an actual array so we can use things like map()
    return Array.prototype.slice.call(arguments);
};

var array; // Given some array of Observables that you want zipped together

// Or the more classical case where given an array of data to operate on, simply map them into observables