- 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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Files to replace the annoying ads.html in Micromax 400R mifi router. Thanks to http://motyar.blogspot.in/2013/02/hacking-micromax-400r-mi-fi.html for tips. | |
Usage : | |
1. Download the files. Make sure you have enabled "Web Sharing" in the administrator page. Factory setting is only usb for this. | |
2. Open upload.html in your browser while being connected to your Micromax 400R | |
3. Choose ads.html in the form and upload. | |
4. See if the response is "ok" | |
5. DONE, PROFIT!!!!! |
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// Just before switching jobs: | |
// Add one of these. | |
// Preferably into the same commit where you do a large merge. | |
// | |
// This started as a tweet with a joke of "C++ pro-tip: #define private public", | |
// and then it quickly escalated into more and more evil suggestions. | |
// I've tried to capture interesting suggestions here. | |
// | |
// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_, | |
// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant, |
- Update HISTORY.md
- Commit the changes:
git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."
- Update version number (can also be minor or major)
bumpversion patch
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Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
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# coding=UTF-8 | |
from __future__ import division | |
import re | |
# This is a naive text summarization algorithm | |
# Created by Shlomi Babluki | |
# April, 2013 | |
class SummaryTool(object): |
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13:15 <xQuasar> | HASKELL IS FOR FUCKIN FAGGOTS. YOU'RE ALL A BUNCH OF | |
| FUCKIN PUSSIES | |
13:15 <xQuasar> | JAVASCRIPT FOR LIFE FAGS | |
13:16 <luite> | hello | |
13:16 <ChongLi> | somebody has a mental illness! | |
13:16 <merijn> | Wow...I suddenly see the error of my ways and feel | |
| compelled to write Node.js! | |
13:16 <genisage> | hi | |
13:16 <luite> | you might be pleased to learn that you can compile | |
| haskell to javascript now |
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# you can make a text file of request times (in ms, one number per line) and import it here, or you can use a probability distribution to simulate request times (see below where setting req_durations_in_ms) | |
# rq = read.table("~/Downloads/request_times.txt", header=FALSE)$V1 | |
# argument notes: | |
# parallel_router_count is only relevant if router_mode is set to "intelligent" | |
# choice_of_two, power_of_two, and unicorn_workers_per_dyno are only relevant if router_mode is set to "naive" | |
# you can only select one of choice_of_two, power_of_two, and unicorn_workers_per_dyno | |
run_simulation = function(router_mode = "naive", | |
reqs_per_minute = 9000, |