rocarvaj

" VIM Configuration File
" Description: Optimized for C/C++ development, but useful also for other things.
" Author: Gerhard Gappmeier
"

" set UTF-8 encoding
set enc=utf-8
set fenc=utf-8
set termencoding=utf-8
" disable vi compatibility (emulation of old bugs)

huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

catawbasam

# -*- coding: utf-8 -*-
"""
LICENSE: BSD (same as pandas)
example use of pandas with oracle mysql postgresql sqlite
    - updated 9/18/2012 with better column name handling; couple of bug fixes.
    - used ~20 times for various ETL jobs.  Mostly MySQL, but some Oracle. 

    to do:  
            save/restore index (how to check table existence? just do select count(*)?), 
            finish odbc, 

fyears

if you are using linux, unix, os x:

pip install -U setuptools
pip install -U pip

pip install numpy
pip install scipy
pip install matplotlib
#pip install PySide

e000

"""SocksiPy - Python SOCKS module.
Version 1.00

Copyright 2006 Dan-Haim. All rights reserved.

Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,

therg

import re
import random
import base64
from scrapy import log

class RandomProxy(object):
    def __init__(self, settings):
        self.proxy_list = settings.get('PROXY_LIST')
        fin = open(self.proxy_list)

glamp

import numpy as np
import pylab as pl
import pandas as pd

from sklearn import svm
from sklearn import linear_model
from sklearn import tree

from sklearn.metrics import confusion_matrix

glamp

  o		o		o	
	o		 	x		
o			x	x	x	
			x			o
			x	x	x	o
		x				
				o		o
		o				
						

phobson

import pyodbc
import numpy as np
import datetime
import pandas

def processCursor(cur, dataframe=False):
    datatypes = []
    colinfo = cur.description
    for col in colinfo:
        if col[1] == unicode: