VigneshChennai

struct CovariantExample<'a, T> {
    a: &'a  T
}

struct InvariantExample<'a, T> {
    a: &'a mut T
}

fn covarient() {

jnaulty

#!/bin/bash

## **Updates to this file are now at https://github.com/giovtorres/kvm-install-vm.**
## **This updated version has more options and less hardcoded variables.**

# Take one argument from the commandline: VM name
if ! [ $# -eq 1 ]; then
    echo "Usage: $0 <node-name>"
    exit 1
fi

tadeck

#!/usr/bin/env python

"""
This simple script fetches your IP as seen by web pages, and displays it.

Execute this script locally like that:
$ curl -s https://raw.github.com/gist/3389407/myip.py | python
"""
import urllib2

mikedilger

[package]
name = "example"
version = "0.1.0"
edition = "2021"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]
anyhow = { version = "1.0", features = [ "backtrace" ] }
futures = "0.3"

oubiwann

Listing queues ...
hipri   5
lopri   0
midpri  0
...done.

ashwin

import random

# Random float in [0.0, 1.0)
a = random.random()

# Random float in [0, 100]
b = random.uniform( 0, 100 )

jamesbuckett

Deploy a Kubernetes cluster and Microservices Application

What Problem are we solving

What is Kubernetes?

Agenda

• Deploy a Kubernetes cluster on Digital Ocean using kubeadm

mchirico

#!/usr/bin/env python
import tensorflow as tf
import numpy as np
from numpy import genfromtxt

# Build Example Data is CSV format, but use Iris data
from sklearn import datasets
from sklearn.model_selection import train_test_split
import sklearn
def buildDataFromIris():

carlessanagustin

1. Create cluster

Cluster up and running

minikube version
minikube start
kubectl version

jbcurtin

#!/usr/bin/env python
'''
A #microtutorial to show how to use asyncio and some other stdlib-tools,
 https://pugetsoundpython.slack.com/archives/C03LJKBPJ/p1530204386000485
 
 
Invoke with,
`python nhuntwalker-asyncio.py -m on`
`python nhuntwalker-asyncio.py -m awe`
`python nhuntwalker-asyncio.py`