Jos van der Westhuizen JosvanderWesthuizen

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

Often referred to as the "swiss army of knife" for TCP/IP networking, [Netcat][1] is an extremely versatile Linux utility that allows you to do anything under the sun using TCP/UDP sockets. It is one of the most favorite tools for system admins when they need to do networking related troubleshooting and experimentation.

In this tutorial, I am sharing a few useful netcat examples, although the sky is the limit when it comes to possible netcat use cases. If you are using netcat regularly, feel free to share your use case.

Note that when you are binding to well-known ports (0-1023) with nc, you need root privilege. Otherwise, run nc as a normal user.

1. Test if a particular TCP port of a remote host is open.

$ nc -vn 192.168.233.208 5000

	#!/bin/bash

	### steps ####
	# Verify the system has a cuda-capable gpu
	# Download and install the nvidia cuda toolkit and cudnn
	# Setup environmental variables
	# Verify the installation
	###

	### to verify your gpu is cuda enable check

	import subprocess

	def sendfail():
	print('Sending email')

	def main():
	try:
	subprocess.check_call(["python", "test.py"])
	print('Success!')
	except subprocess.CalledProcessError:

	package com.oasisfeng.hack;

	import android.support.annotation.CheckResult;
	import android.support.annotation.NonNull;
	import android.support.annotation.Nullable;
	import android.util.Log;

	import java.io.IOException;
	import java.lang.reflect.AccessibleObject;
	import java.lang.reflect.Constructor;

	# Working example for my blog post at:
	# https://danijar.github.io/structuring-your-tensorflow-models
	import functools
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data


	def doublewrap(function):
	"""
	A decorator decorator, allowing to use the decorator to be used without

	import theano
	import theano.tensor as T
	from theano.tensor.shared_randomstreams import RandomStreams
	from theano.sandbox.rng_mrg import MRG_RandomStreams
	from lasagne.updates import adam
	from lasagne.utils import collect_shared_vars

	from sklearn.datasets import fetch_mldata
	from sklearn.cross_validation import train_test_split
	from sklearn import preprocessing