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Stream Hacker | Weotta be Hacking

Weotta be Hacking (by Jacob)

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Stream Hacker | Weotta be Hacking | streamhacker.wordpress.com Reviews
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Weotta be Hacking (by Jacob)
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1 stream hacker
2 nltk
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4 redis
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6 fast to build
7 persistent data
8 nltk’s
9 freqdist
10 classification
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stream hacker,nltk,probability,redis,statistics,fast to build,persistent data,nltk’s,freqdist,classification,building a freqdist,frequency analysis,spam classification,text categorization,redisfreqdist,up at bitbucket,probablity py,contains,internally
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Stream Hacker | Weotta be Hacking | streamhacker.wordpress.com Reviews

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Weotta be Hacking (by Jacob)

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1

Django Datetime Snippets | Stream Hacker

https://streamhacker.wordpress.com/2009/04/13/django-datetime-snippets

April 13, 2009 at 9:12 am ( python. I’ve started posting over at Django snippets. Which is a great resource for finding useful bits of functionality. My first set of snippets is focused on datetime conversions. Is a drop in replacement for the standard DateTimeField. That uses dateutil.parser. To clean the value, allowing the parser to be more liberal with the input formats it accepts. The isoutc template filter. Produces an ISO format UTC datetime string from a timezone aware. The timeto template filter.

2

Deploying Django with Mercurial, Fab and Nginx | Stream Hacker

https://streamhacker.wordpress.com/2009/04/26/deploying-django-with-mercurial-fab-and-nginx

Deploying Django with Mercurial, Fab and Nginx. April 26, 2009 at 11:00 am ( python. Writing web apps with Django. Can be a lot of fun, but deploying. Them can be a chore, even if you’re using Apache. Here’s a setup I’ve been using that makes deployment. Fast and easy. This all assumes you’ve got. Access on a remote server running Ubuntu. This setup assumes you’ve got 2 mercurial. Hooks] changegroup = hg up. This makes mercurial run. Paths] default = ssh:/ user@domain.com/repo. Now when you run. To the e...

3

Dates and Times in Python and Javascript | Stream Hacker

https://streamhacker.wordpress.com/2009/04/02/dates-and-times-in-python-and-javascript

Dates and Times in Python and Javascript. April 2, 2009 at 9:06 am ( javascript. If you are dealing with dates and times in python and/or javascript, there are two must have libraries. Being javascript, is designed for parsing and creating human readable dates and times. It’s powerful parse(). Function can handle all the dates and times you’d expect, plus fuzzier human readable date words. Here are some examples from their site. And if you are programmatically creating Date objects. Like Datejs, dateutil.

4

Building a NLTK FreqDist on Redis | Stream Hacker

https://streamhacker.wordpress.com/2009/05/20/building-a-nltk-freqdist-on-redis

Building a NLTK FreqDist on Redis. May 20, 2009 at 1:27 pm ( python. Say you want to build a frequency distribution. Of many thousands of samples with the following characteristics:. Network accessible (with no locking requirements). Can store large sliceable index lists. The only solution I know that meets those requirements is Redis. Is not persistent , shelve. Is far too slow, BerkeleyDB is not network accessible. Especially given how new it is. It’s quite fast. And sliceable list structures. For effi...

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Python NLTK Natural Language Processing | StreamHacker

Recommended Products and Services. Using word2vec with NLTK. December 29, 2014. Is an algorithm for constructing vector representations of words, also known as. The vector for each word is a semantic description of how that word is used in context, so two words that are used similarly in text will get similar vector represenations. Once you map words into vector space, you can then use vector math to find words that have similar semantics. Provides a nice Python implementation of Word2Vec. Download Data ...

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Stream Hacker | Weotta be Hacking

Building a NLTK FreqDist on Redis. May 20, 2009 at 1:27 pm ( python. Say you want to build a frequency distribution. Of many thousands of samples with the following characteristics:. Network accessible (with no locking requirements). Can store large sliceable index lists. The only solution I know that meets those requirements is Redis. Is not persistent , shelve. Is far too slow, BerkeleyDB is not network accessible. Especially given how new it is. It’s quite fast. And sliceable list structures. For effi...

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