| #!/bin/sh | |
| ### | |
| # SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer) | |
| # For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos | |
| ### | |
| # Alot of these configs have been taken from the various places | |
| # on the web, most from here | |
| # https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx |
| #!/usr/bin/env python | |
| # Haversine formula example in Python | |
| # Author: Wayne Dyck | |
| import math | |
| def distance(origin, destination): | |
| lat1, lon1 = origin | |
| lat2, lon2 = destination |
This is a sample of how to send some information to logstash via the TCP input in python. It assumes the logstash host is on "localhost" and the TCP listening input is 5959.
The logstash.conf should look something like the sample file.
The log message should be a stringified JSON object with the log message in the @message field.
To use, run the python script python sendMessageToLogstash.js
Revised: 2016-08-29 23:28 CT (Mon)
This is a list of the key resources I have found useful. If you know of others, please post in a comment below, and I will add to this list.
I have tried to order this list in the order that, to me, is best for learning JXA from scratch. We all learn a bit diferently, so adjust to suit your style/needs. Please post if you have suggestions on learning JXA.
| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Fri Jun 15 14:00:29 2012 | |
| Author: Josef Perktold | |
| License: MIT, BSD-3 (for statsmodels) | |
| http://en.wikipedia.org/wiki/Distance_correlation | |
| Yaroslav and Satrajit on sklearn mailing list |
