- 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
- Read Get That Job At Google
- Cracking the Coding Interview
- Algorithm Design (first four or so chapters).
- Review common computer science design patterns
- The Tangled Web: A guide to securing modern web applications
- Be ready to set up dev environment on demand.
- Really know your language of choice. (e.g. read a [book](http://www.amazon.com/gp/product/1593273886/ref=as
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prefix | publisher | journals | dois | |
---|---|---|---|---|
10.12679 | 0 | 0 | ||
10.7579 | 123Doc Education | 0 | 0 | |
10.3731 | 21st Century COE Program (Toplogical Science and Technology) | 1 | 40 | |
10.5775 | A. I. Rosu Cultural Scientific Foundation Fundatia cultural-stiintifica A. I. Rosu | 1 | 80 | |
10.4037 | AACN Publishing | 2 | 766 | |
10.1306 | AAPG/Datapages | 4 | 21817 | |
10.3183 | AB Svensk Papperstidning | 1 | 1550 | |
10.5769 | ABEAT - Associacao Brasileira de Especialistas em Alta Tecnologia | 1 | 57 | |
10.7597 | ACOPIOS - Revista Iberica de Mineralogia | 1 | 9 |
I'm going to cover a simple, but effective, utility for managing state and transitions (aka workflow). We often need to store the state (status) of a model and it should only be in one state at a time.
- Publishing (Draft->Approved->Published->Expired->Deleted)
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# requires imagemagick and ffmpeg (tested with latest versions) | |
# make sure you set an INFILE variable first | |
# get GIF info | |
video=$(ffmpeg -i "$INFILE" 2>&1 /dev/null | grep "Video:"); | |
# get GIF Frames per second | |
fps=$(echo "$video" | sed -n "s/.* \([0-9.]*\) fps.*/\1/p"); | |
# a convinience variable so we can easily set FPS on the video |
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import "bytes" | |
func StreamToByte(stream io.Reader) []byte { | |
buf := new(bytes.Buffer) | |
buf.ReadFrom(stream) | |
return buf.Bytes() | |
} | |
func StreamToString(stream io.Reader) string { | |
buf := new(bytes.Buffer) |
- http://stackoverflow.com/questions/3606591/why-does-intellij-idea-compile-scala-so-slowly/3612212#3612212
- https://gist.github.com/anonymous/1406238
- http://www.infoq.com/news/2011/11/yammer-scala
- http://grundlefleck.github.io/2013/06/23/using-scala-will-make-you-less-productive.html
- http://www.infoq.com/news/2011/11/scala-ejb2
- http://alarmingdevelopment.org/?p=562
- https://news.ycombinator.com/item?id=7458588
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,_---~~~~~----._ | |
_,,_,*^____ _____``*g*\"*, | |
/ __/ /' ^. / \ ^@q f | |
[ @f | @)) | | @)) l 0 _/ | |
\`/ \~____ / __ \_____/ \ | |
| _l__l_ I | |
} [______] I | |
] | | | | | |
] ~ ~ | | |
| | |
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package main | |
import ( | |
"compress/gzip" | |
"io" | |
"net/http" | |
"strings" | |
) | |
// Gzip Compression |