- 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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| // initialize the Shanghai component which keeps track of | |
| // shipping data in and out of the Port of Shanghai. | |
| var shanghai = Elm.worker(Elm.Shanghai, { | |
| coordinates:[0,0], | |
| incomingShip: { name:"", capacity:0 }, | |
| outgoingShip: "" | |
| }); | |
| function logger(x) { console.log(x) } | |
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| ; ___ _ __ ___ __ ___ | |
| ; / __|_ _ __ _| |_____ / /| __|/ \_ ) | |
| ; \__ \ ' \/ _` | / / -_) _ \__ \ () / / | |
| ; |___/_||_\__,_|_\_\___\___/___/\__/___| | |
| ; An annotated version of the snake example from Nick Morgan's 6502 assembly tutorial | |
| ; on http://skilldrick.github.io/easy6502/ that I created as an exercise for myself | |
| ; to learn a little bit about assembly. I **think** I understood everything, but I may | |
| ; also be completely wrong :-) |
Mini projects by Maxime Euzière (xem), subzey, Martin Kleppe (aemkei), Mathieu Henri (p01), Litterallylara, Tommy Hodgins (innovati), Veu(beke), Anders Kaare, Keith Clark, Addy Osmani, bburky, rlauck, cmoreau, maettig, thiemowmde, ilesinge, adlq, solinca, xen_the,...
(For more info and other projects, visit http://xem.github.io)
(Official Slack room: http://jsgolf.club / join us on http://register.jsgolf.club)
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
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| package main | |
| import ( | |
| "errors" | |
| "log" | |
| "os" | |
| "github.com/PuerkitoBio/goquery" | |
| "github.com/robertkrimen/otto" | |
| ) |
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| /** | |
| * K.jpg's OpenSimplex 2, smooth variant ("SuperSimplex") | |
| * | |
| * More language ports, as well as legacy 2014 OpenSimplex, can be found here: | |
| * https://github.com/KdotJPG/OpenSimplex2 | |
| */ | |
| public class OpenSimplex2S { | |
| private static final long PRIME_X = 0x5205402B9270C86FL; |
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| def draw_path(self,x,y): | |
| top_right = 999999999999999999999999999999999999 | |
| top_left = 999999999999999999999999999999999999 | |
| top = 999999999999999999999999999999999999 | |
| if y == 0: | |
| return | |
| self.writablePixels[y,x] = (255,0,0) | |
| # print str((x,y)) |
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| # 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 |