Nick Omeyer nomeyer

## pd_sample.py
import pandas

df = pandas.DataFrame(data)

# Randomly sample 70% of your dataframe
df_0.7 = df.sample(frac=0.7)

# Randomly sample 7 elements from your dataframe
df_7 = df.sample(n=7)

## df_concat.py
In [1]: df1 = pd.DataFrame({'A': ['A0', 'A1', 'A2', 'A3'],
   ...:                     'B': ['B0', 'B1', 'B2', 'B3'],
   ...:                     'C': ['C0', 'C1', 'C2', 'C3'],
   ...:                     'D': ['D0', 'D1', 'D2', 'D3']},
   ...:                     index=[0, 1, 2, 3])
   ...:

In [2]: df2 = pd.DataFrame({'A': ['A4', 'A5', 'A6', 'A7'],
   ...:                     'B': ['B4', 'B5', 'B6', 'B7'],
   ...:                     'C': ['C4', 'C5', 'C6', 'C7'],

## torch_ubuntu_install.md

      
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                nomeyer
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              April 2, 2016 18:26
            
              
                Guide to setting up Torch on an AWS GPU instance (copied from https://github.com/brotchie/torch-ubuntu-gpu-ec2-install)
              
          
    Installing Torch on Ubuntu 14.04 Amazon EC2 GPU Instances

This is a guide for installing the Torch machine learning ecosystem onto a GPU EC2 instance running Ubuntu 14.04.
Note: I have created and made available a Community EC2 AMI following these step with the name torch-ubuntu-14.04-cuda-7.0-28 and ami-id ami-c79b7eac. Simply search for ami-c79b7eac in Community AMIs when creating an instance to get up and running quickly.
Preliminary steps:

Start a g2.2xlarge or g2.8xlarge instance with the Ubuntu Server 14.04 LTS (HVM), SSD Volume Type - ami-d05e75b8 base AMI;
On Step 4: Add Storage of the instance configuration, increase storage on the primary volume from 8GB to 16GB; the 8GB default is too small;
Ensure the SSH port is allowed in the security group;


## new_doc.html
<!doctype html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <title></title>
        <link rel="stylesheet" type="text/css" href="">
    </head>
    <body>
        <script type="text/javascript" src=""></script>
    </body>

## list_remote_branches.sh
git ls-remote --heads <remote-name>

## recursive_walk.py
import os
import sys

walk_dir = sys.argv[1]

print('walk_dir = ' + walk_dir)

# If your current working directory may change during script execution, it's recommended to
# immediately convert program arguments to an absolute path. Then the variable root below will
# be an absolute path as well. Example:

## simple_scraper.py
import urllib2
import BeautifulSoup

request = urllib2.Request("http://www.gpsbasecamp.com/national-parks")
response = urllib2.urlopen(request)
soup = BeautifulSoup.BeautifulSoup(response)
for a in soup.findAll('a'):
  if 'national-park' in a['href']:
    print 'found a url with national-park in the link'

## git_remove_dir.sh
git rm -r --cached some-directory
git commit -m 'Remove the now ignored directory "some-directory"'
git push origin master

## xcode.gitignore
#########################
# .gitignore file for Xcode4 and Xcode5 Source projects
#
# Apple bugs, waiting for Apple to fix/respond:
#
#    15564624 - what does the xccheckout file in Xcode5 do? Where's the documentation?
#
# Version 2.6
# For latest version, see: http://stackoverflow.com/questions/49478/git-ignore-file-for-xcode-projects
#

## copy_to_pasteboard.m
NSString *stringToCopy = @"Djyes";
NSPasteboard *pasteboard = [NSPasteboard generalPasteboard];
[pasteboard declareTypes:[NSArray arrayWithObject:NSStringPboardType] owner:nil];
BOOL success = [pasteboard setString:stringToCopy forType:NSStringPboardType];
	import pandas

	df = pandas.DataFrame(data)

	# Randomly sample 70% of your dataframe
	df_0.7 = df.sample(frac=0.7)

	# Randomly sample 7 elements from your dataframe
	df_7 = df.sample(n=7)
	In [1]: df1 = pd.DataFrame({'A': ['A0', 'A1', 'A2', 'A3'],
	...: 'B': ['B0', 'B1', 'B2', 'B3'],
	...: 'C': ['C0', 'C1', 'C2', 'C3'],
	...: 'D': ['D0', 'D1', 'D2', 'D3']},
	...: index=[0, 1, 2, 3])
	...:

	In [2]: df2 = pd.DataFrame({'A': ['A4', 'A5', 'A6', 'A7'],
	...: 'B': ['B4', 'B5', 'B6', 'B7'],
	...: 'C': ['C4', 'C5', 'C6', 'C7'],
	<!doctype html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title></title>
	<link rel="stylesheet" type="text/css" href="">
	</head>
	<body>
	<script type="text/javascript" src=""></script>
	</body>
	import os
	import sys

	walk_dir = sys.argv[1]

	print('walk_dir = ' + walk_dir)

	# If your current working directory may change during script execution, it's recommended to
	# immediately convert program arguments to an absolute path. Then the variable root below will
	# be an absolute path as well. Example:
	import urllib2
	import BeautifulSoup

	request = urllib2.Request("http://www.gpsbasecamp.com/national-parks")
	response = urllib2.urlopen(request)
	soup = BeautifulSoup.BeautifulSoup(response)
	for a in soup.findAll('a'):
	if 'national-park' in a['href']:
	print 'found a url with national-park in the link'
	git rm -r --cached some-directory
	git commit -m 'Remove the now ignored directory "some-directory"'
	git push origin master
	#########################
	# .gitignore file for Xcode4 and Xcode5 Source projects
	#
	# Apple bugs, waiting for Apple to fix/respond:
	#
	# 15564624 - what does the xccheckout file in Xcode5 do? Where's the documentation?
	#
	# Version 2.6
	# For latest version, see: http://stackoverflow.com/questions/49478/git-ignore-file-for-xcode-projects
	#
	NSString *stringToCopy = @"Djyes";
	NSPasteboard *pasteboard = [NSPasteboard generalPasteboard];
	[pasteboard declareTypes:[NSArray arrayWithObject:NSStringPboardType] owner:nil];
	BOOL success = [pasteboard setString:stringToCopy forType:NSStringPboardType];