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<div id="main-container">
<div id="main">
<h1>
<img alt="scubabook logo" src="{{ static_url("img/logo.png") }}">
</h1>
<div id="login-form">
<form action="/auth/login/" method="post" id="login_form">
<fieldset>
<label for="username">Username</label>
<input autocapitalize="off" autocorrect="off" class="text-input" id="username" name="username" tabindex="1" type="text" value="">
import os
import random
from scrapy.conf import settings
class RandomUserAgentMiddleware(object):
def process_request(self, request, spider):
ua = random.choice(settings.get('USER_AGENT_LIST'))
if ua:
request.headers.setdefault('User-Agent', ua)
class ProxyMiddleware(object):
@c0ldlimit
c0ldlimit / svm.py
Created April 30, 2013 14:10 — forked from mblondel/svm.py
# Mathieu Blondel, September 2010
import numpy as np
from numpy import linalg
import cvxopt
import cvxopt.solvers
def linear_kernel(x1, x2):
return np.dot(x1, x2)
def NewTorIP():
s = socket.socket()
s.connect(('localhost', 9051))
s.send("AUTHENTICATE\r\n")
r = s.recv(1024)
if r.startswith('250'):
s.send("signal NEWNYM\r\n")
r = s.recv(1024)
if r.startswith('250'):
return True
# -*- coding: utf-8 -*-
"""
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,
add booleans?,
# -*- coding: utf-8 -*-
"""
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,
add booleans?,
import matplotlib.pyplot as plt
import numpy as np
column_labels = list('ABCD')
row_labels = list('WXYZ')
data = np.random.rand(4,4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)
# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[0])+0.5, minor=False)
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@c0ldlimit
c0ldlimit / process_cursor.py
Created November 16, 2012 17:11 — forked from phobson/process_cursor.py
Process a pyodbc database cursor into a numpy record array or pandas dataframe
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: