| // Source: https://groups.google.com/forum/#!topic/angular/hVrkvaHGOfc | |
| // jsFiddle: http://jsfiddle.net/pkozlowski_opensource/PxdSP/14/ | |
| // author: Pawel Kozlowski | |
| var myApp = angular.module('myApp', []); | |
| //service style, probably the simplest one | |
| myApp.service('helloWorldFromService', function() { | |
| this.sayHello = function() { | |
| return "Hello, World!" |
| """ | |
| Use a Counter to find the most common words in "The Wonderful Wizard of Oz" by | |
| L. Frank Baum. | |
| Available in (mostly) plain text at: | |
| https://archive.org/stream/wonderfulwizardo00baumiala/wonderfulwizardo00baumiala_djvu.txt | |
| Note: This code also counts the words in the header, so it's not a *realistic* | |
| applicaton, but more of a demonstration of python's Counter. |
| // 1. Go to page https://www.linkedin.com/settings/email-frequency | |
| // 2. You may need to login | |
| // 3. Open JS console | |
| // ([How to?](http://webmasters.stackexchange.com/questions/8525/how-to-open-the-javascript-console-in-different-browsers)) | |
| // 4. Copy the following code in and execute | |
| // 5. No more emails | |
| // | |
| // Bookmarklet version: | |
| // http://chengyin.github.io/linkedin-unsubscribed/ |
- 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
The attack detailed below has stopped (for the time being) and almost all network access for almost all customers have been restored. We're keeping this post and the timeline intact for posterity. Unless the attack resumes, we'll post a complete postmortem within 48 hours (so before Wednesday, March 26 at 11:00am central time).
Criminals have laid siege to our networks using what's called a distributed denial-of-service attack (DDoS) starting at 8:46 central time, March 24 2014. The goal is to make Basecamp, and the rest of our services, unavailable by flooding the network with bogus requests, so nothing legitimate can come through. This attack was launched together with a blackmail attempt that sought to have us pay to avoid this assault.
Note that this attack targets the network link between our servers and the internet. All the data is safe and sound, but nobody is able to get to it as long as the attack is being successfully executed. This is like a bunch of people
frequently asked question:
Q: I would like to ask your advice about preparing for a role in data science
A:
my advice would be to put together a portfolio of projects, on GitHub, evidencing that you know how to
| @binkmail.com | |
| @bobmail.info | |
| @chammy.info | |
| @devnullmail.com | |
| @letthemeatspam.com | |
| @mailinater.com | |
| @mailinator.net | |
| @mailinator2.com | |
| @notmailinator.com | |
| @reallymymail.com |
| # You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine | |
| # This is how I upload my new Sol Trader builds (http://soltrader.net) | |
| # Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash | |
| S3KEY="my aws key" | |
| S3SECRET="my aws secret" # pass these in | |
| function putS3 | |
| { | |
| path=$1 |