- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
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""" | |
This fabric file makes setting up and deploying a django application much | |
easier, but it does make a few assumptions. Namely that you're using Git, | |
Apache and mod_wsgi and your using Debian or Ubuntu. Also you should have | |
Django installed on your local machine and SSH installed on both the local | |
machine and any servers you want to deploy to. | |
_note that I've used the name project_name throughout this example. Replace | |
this with whatever your project is called._ |
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(function() { | |
Backbone.Model.prototype._save = Backbone.Model.prototype.save; | |
Backbone.Model.prototype.save = function(attrs, options) { | |
var that = this; | |
if (!options) { options = {}; } | |
if (this.savingNewRecord) { | |
// store or replace last PUT request with the latest version, we can safely replace old PUT requests with new ones | |
// but if there are callbacks from a previous PUT request, we need to make sure they are all called as well | |
_(['success','error']).each(function(event) { | |
// convert all callbacks to a single array of callbacks) |
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This playbook has been removed as it is now very outdated. |
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import hudson.model.StreamBuildListener | |
import hudson.plugins.emailext.ExtendedEmailPublisher | |
import java.io.ByteArrayOutputStream | |
def projectName = "your-project-name-here" | |
Jenkins.instance.copy(Jenkins.instance.getItem(projectName), "$projectName-Testing"); | |
def project = Jenkins.instance.getItem(projectName) | |
try { | |
def testing = Jenkins.instance.getItem("$projectName-Testing") |
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#!/usr/bin/env bash | |
# | |
# This is sp, the command-line Spotify controller. It talks to a running | |
# instance of the Spotify Linux client over dbus, providing an interface not | |
# unlike mpc. | |
# | |
# Put differently, it allows you to control Spotify without leaving the comfort | |
# of your command line, and without a custom client or Premium subscription. | |
# |
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APPDIRS := $(wildcard apps/*) | |
## Example hack to filter one out: | |
## APPDIRS := $(filter-out apps/fooapp, $(APPDIRS)) | |
define PROXY_TARGET | |
$(1): | |
$(foreach appdir,$(APPDIRS),$(MAKE) -C $(appdir) $(1) ;) | |
endef |
This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.
The script is here:
#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"
This is a sequel to "Postfix: relay to authenticated SMTP".
I would like to send mail from two different Gmail accounts using Postfix. Here is the relevant section in the Postfix documentation: Configuring Sender-Dependent SASL authentication.
As a concrete example, here's how to set up two Gmail accounts (only relevant sections of the config files are listed below):
/etc/postfix/main.cf:
# sender-dependent sasl authentication
smtp_sender_dependent_authentication = yes
sender_dependent_relayhost_maps = hash:/etc/postfix/sender_relay
$ ssh remote-host "epmd -names"
epmd: up and running on port 4369 with data:
name some_node at port 58769
Note the running on port
for epmd
itself and the port of the node you're interested in debugging. Reconnect to the remote host with these ports forwarded:
$ ssh -L 4369:localhost:4369 -L 58769:localhost:58769 remote-host
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