Chankey Pathak chankeypathak

## chrome2requests.py
dict([[h.partition(':')[0], h.partition(':')[2]] for h in rawheaders.split('\n')])

## useful_pandas_snippets.py
# List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

# Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

# Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(valuelist)]

## trie.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
#author:         rex
#blog:           http://iregex.org
#filename        trie.py
#created:        2010-08-01 20:24
#source uri:     http://iregex.org/blog/trie-in-python.html

# escape bug fix by fcicq @ 2012.8.19

## IEUserAgentTest.html
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
    <title>Testing IE Compatibility Mode</title>
    <script src="ieUserAgent.js" type="text/javascript"></script>
</head>
<body>
<div id="results">Results:</div>
<script type="text/javascript">
    var val = "IE" + ieUserAgent.version;
	# List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	# Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	# Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(valuelist)]
	#!/usr/bin/python
	# -- coding: utf-8 --
	#
	#author: rex
	#blog: http://iregex.org
	#filename trie.py
	#created: 2010-08-01 20:24
	#source uri: http://iregex.org/blog/trie-in-python.html

	# escape bug fix by fcicq @ 2012.8.19
	<!DOCTYPE html>
	<html xmlns="http://www.w3.org/1999/xhtml">
	<head>
	<title>Testing IE Compatibility Mode</title>
	<script src="ieUserAgent.js" type="text/javascript"></script>
	</head>
	<body>
	<div id="results">Results:</div>
	<script type="text/javascript">
	var val = "IE" + ieUserAgent.version;