- 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
# taken from http://www.piware.de/2011/01/creating-an-https-server-in-python/ | |
# generate server.xml with the following command: | |
# openssl req -new -x509 -keyout server.pem -out server.pem -days 365 -nodes | |
# run as follows: | |
# python simple-https-server.py | |
# then in your browser, visit: | |
# https://localhost:4443 | |
import BaseHTTPServer, SimpleHTTPServer | |
import ssl |
@foo = thread_local global i32 3 | |
define i32 @main() { | |
%1 = load i32* @foo | |
ret i32 %1 | |
} | |
// ./x86_64-apple-darwin/llvm/Release+Asserts/bin/llc foo.ll -filetype=obj | |
// gcc -o foo foo.o |
PYTHON
sudo yum install glibc-static zlib-static
download python source to /virtualenvs/nodict/Python-2.7.6
Configure to accomplish 3 things: static -pg TODO: NEEDED, ALONG WITH --enable-profiling ?? prefix
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
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(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.
<!DOCTYPE html> | |
<!-- | |
Red is Beautiful: A Visualization of Redis Commands | |
By Itamar Haber, Redis Labs | |
Adopted from Mike Bostock's Zoomable Pack Layout example: http://mbostock.github.io/d3/talk/20111116/pack-hierarchy.html | |
!--> | |
<html> | |
<head> | |
<style> |
-- A basic GDSII reader that reads from standard input and writes serialized | |
-- text to standard output | |
local gdsii = {} | |
gdsii.types = { | |
[0] = "HEADER", | |
[1] = "BGNLIB", | |
[2] = "LIBNAME", | |
[3] = "UNITS", |
This document is research for the selection of a communication platform for robot-net.
The purpose of this component is to enable rapid, reliable, and elegant communication between the various nodes of the network, including controllers, sensors, and actuators (robot drivers). It will act as the core of robot-net to create a standardized infrastructure for robot control.
Requirements:
import Data.Char --for ord (Char -> Int) | |
data Query = Relation (String,[String]) -- (Relationenname, [Attributname]) | |
| Projection [String] Query -- [Attributname] | |
| Selection String Query -- Bedingung | |
| Rename [(String,String)] Query -- [(alter Attributname, neuer Attributname)] | |
| Union Query Query | |
| Difference Query Query | |
| Product Query Query | |
deriving Show |