chronitis

What is a kernel?

The kernel lets you run code in a particular programming language using one of the Jupyter tools, such as the Notebook, Jupyterlab or nteract. Installing additional kernels will let you run code in more languages using your existing jupyter installation.

Technically, the kernel is an application which speaks the Jupyter Messaging Protocol, to receive code input from the frontend and respond with the results.

Which kernels do I have installed?

In the Notebook or JupyterLab, the list of available kernels will be shown when trying to create a new notebook.

FredericJacobs

Analytics

Analytics track you, but they also keep local files really useful for forensics to gather evidence against you.

Google Analytics

Because of course, you need to know if people actually use it when it's developed by a PR firm. Google Analytics tracks a lot of your moves and stored locally in a cache then uploaded to Google servers. Every action is logged.

petertodd

-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA256

This is my standard consulting agreement, drafted by Addison Cameron-Huff
<addison@cameronhuff.com> Feel free to use/distribute this as you see fit.


Consulting Agreement
====================

9b

import requests, json, logging, sys

class PassiveTotal:
	def __init__(self, apikey):
		
		self.__apikey = apikey
		
		self.__classifications = [ 'targeted', 'crime', 'benign', 'multiple' ]
		self.__actions = [ 'add', 'remove' ]
		

simon-weber

import vcrutils

VCR_CASSETTE_PATH = APPROOT + '/venmo_tests/cassettes/'  # eg
MAKE_EXTERNAL_REQUESTS = os.environ.get('MAKE_EXTERNAL_REQUESTS') == 'TRUE'


@dual_decorator  # convert a paramaterized decorator for no-arg use (https://gist.github.com/simon-weber/9956622).
def external_call(*args, **kwargs):
    """Enable vcrpy to store/mock http requests.

bitemyapp

The Learning Haskell guide has been moved to a git repo to enable outside contribution

Find it here: https://github.com/bitemyapp/learnhaskell

PaulKinlan

(function() { 
  var CSSCriticalPath = function(w, d, opts) {
    var opt = opts || {};
    var css = {};
    var pushCSS = function(r) {
      if(!!css[r.selectorText] === false) css[r.selectorText] = {};
      var styles = r.style.cssText.split(/;(?![A-Za-z0-9])/);
      for(var i = 0; i < styles.length; i++) {
        if(!!styles[i] === false) continue;
        var pair = styles[i].split(": ");

diogomonica

require 'rubygems'
require 'mechanize'

FIRST_NAME = 'FIRST_NAME'
LAST_NAME = 'LAST_NAME'
PHONE = 'PHONE'
EMAIL = 'EMAIL@provider.com'

PARTY_SIZE = 2
SCHEDULE_RANGE = { :start_time => '19:00', :end_time => '20:30' }

maccman

--
-- Name: c_posts_voted(); Type: FUNCTION; Schema: public; Owner: -
--

CREATE FUNCTION c_posts_voted() RETURNS trigger
    LANGUAGE plpgsql
    AS $$      BEGIN
        UPDATE "posts" SET voted_user_ids = array_append(voted_user_ids, NEW.user_id) WHERE "id" = NEW.post_id;
        RETURN NEW;
      END;

ragingwind

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
• The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
• Scaling Twitter: Making Twitter 10000 Percent Faster