Robert Kreuzer rkrzr

Co-Founder and CTO of channable.com

rkrzr / UpperStream.js

Last active December 20, 2015 18:19

An example of how to use streams in Node.js. It gets a page via http, transforms the data to uppercase and prints it to stdout.

	var request = require('request');
	var url = 'http://www.site2mobile.com';

	// Set both readable and writable in constructor.
	var UpperStream = function () {
	this.readable = true;
	this.writable = true;
	};

	// Inherit from base stream class.

rkrzr / gzipRequestTest.js

Created August 8, 2013 12:57 — forked from nickfishman/gzipRequestTest.js

	var request = require('request'),
	zlib = require('zlib');

	var headers = {
	"accept-charset" : "ISO-8859-1,utf-8;q=0.7,*;q=0.3",
	"accept-language" : "en-US,en;q=0.8",
	"accept" : "text/html,application/xhtml+xml,application/xml;q=0.9,/;q=0.8",
	"user-agent" : "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/537.13+ (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2",
	"accept-encoding" : "gzip,deflate",
	};

rkrzr / keybase.md

Last active December 23, 2018 17:58

I hereby claim:

To claim this, I am signing this object:

rkrzr / auto_tags.py

Last active August 14, 2024 16:36

Automatically generate ansible tags of the same name for each role in a playbook

	"""
	This module implements an Ansible plugin that is triggered at the start of a playbook.

	The plugin dynamically generates a tag for each role. Each tag has the same name as its role.
	The advantage of this is that it saves you some boilerplate, because you don't have to wrap
	all tasks of a role in an additional block and assign a tag to that.
	Additionally, it works automatically when you add new roles to your playbook.

	Usage is exactly the same as without this plugin:

rkrzr / shell.nix

Last active April 13, 2020 15:08

Reproducible jupyter lab notebook using the Nix package manager (including working plots)

	# Run this file with with 'nix-shell --command "jupyter lab"'
	#
	# This file uses jupyterWith from https://github.com/tweag/jupyterWith which
	# implements reproducible Jupyter lab notebooks. The killer feature of jupyterWith
	# is that it allows you to get plots working with e.g. matplotlib or seaborn,
	# which did not work for me with the regular 'jupyterlab' derivation in nixpkgs.
	#
	# Enable plots with the `%matplotlib inline` magic command at the top of the notebook.
	# Alternatively, you can do the same thing with `matplotlib.pyplot.ion()`.
	#