- 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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| ############################################################################# | |
| # Full Imports | |
| from __future__ import division | |
| import math | |
| import random | |
| """ | |
| This is a pure Python implementation of the K-means Clustering algorithmn. The | |
| original can be found here: |
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| tmp/ |
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| import requests | |
| import operator | |
| companies = ["facebook", "aws", "google", "yahoo", "dropbox", "twitter", "paypal", "linkedin", "mozilla", "adobe"] | |
| api_url = "https://api.github.com/orgs/{}/repos" | |
| data = {} | |
| for company in companies: | |
| data[company] = {'forks': 0, 'stars': 0, 'repos': 0, 'languages': {}} | |
| r = requests.get(api_url.format(company)) |
(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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| sudo wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo | |
| sudo sed -i s/\$releasever/6/g /etc/yum.repos.d/epel-apache-maven.repo | |
| sudo yum install -y apache-maven | |
| mvn --version |
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| # Initialize the scroll | |
| page = es.search( | |
| index = 'yourIndex', | |
| doc_type = 'yourType', | |
| scroll = '2m', | |
| search_type = 'scan', | |
| size = 1000, | |
| body = { | |
| # Your query's body | |
| }) |
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| # Nginx proxy for Elasticsearch + Kibana | |
| # | |
| # In this setup, we are password protecting the saving of dashboards. You may | |
| # wish to extend the password protection to all paths. | |
| # | |
| # Even though these paths are being called as the result of an ajax request, the | |
| # browser will prompt for a username/password on the first request | |
| # | |
| # If you use this, you'll want to point config.js at http://FQDN:443/ instead of | |
| # http://FQDN:9200 |
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| $fs=1; | |
| $fa=1; | |
| servo_l = 24; | |
| servo_w = 13; | |
| servo_h = 21; | |
| bolt_hole_diameter = 4.5; | |
| servo_axis_diameter = 4; |