dbarnett

import simplejson
import sqlalchemy
from sqlalchemy import String
from sqlalchemy.ext.mutable import Mutable

class JSONEncodedObj(sqlalchemy.types.TypeDecorator):
    """Represents an immutable structure as a json-encoded string."""

    impl = String

szs8

#!/usr/bin/env python

import wx
from wx import EVT_CLOSE
import wx.grid as gridlib

EVEN_ROW_COLOUR = '#CCE6FF'
GRID_LINE_COLOUR = '#ccc'

class PandasTable(wx.Frame):

ragingwind

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
• The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
• Scaling Twitter: Making Twitter 10000 Percent Faster

kageurufu

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Integer, Column
from postgresql_json import JSON
Base = declarative_base()

class Document(Base):
    id = Column(Integer(), primary_key=True)
    data = Column(JSON)

#do whatever other work

davfre

SAM and BAM filtering one-liners

@author: David Fredman, [email protected] (sans poly-A tail)
@dependencies: http://sourceforge.net/projects/bamtools/ and http://samtools.sourceforge.net/

Please extend with additional/faster/better solutions via a pull request!

BWA mapping (using piping for minimal disk I/O)