tianhuil

#!ipython
# to use this run these two steps
# curl https://gist.githubusercontent.com/tianhuil/a6675835a7a0c157fbcb296a743f52d4/raw/704a20201dd4362928f6e39ab0ab0bc0784b2af9/update_branches.ipy
# ipython merged_branches.ipy

!git checkout master
branches = !git branch
other_branches = [b.lstrip() for b in branches if b != '* master']

results = {}

tianhuil

# cd into a new folder and observe the error in the last line.

yes | rm email.py*
echo "from email.utils import formatdate; print 'OK'" > foo.py
PYTHONPATH="" python foo.py
touch email.py
PYTHONPATH="" python foo.py

tianhuil

React is a fairly simple browser-side framework. It promises to be faster than Angular.

The website itself, provides two great tutorials:

1. https://facebook.github.io/react/docs/hello-world.html
2. https://facebook.github.io/react/tutorial/tutorial.html

After going through these two, it is recommended that you go through this tutorial on react router:

tianhuil

#!/usr/bin/python

"""
Script to generate passphrases according to the vocabular in:
http://world.std.com/~reinhold/diceware.wordlist.asc

To see why this might be a better algorithm for choosing a password:
https://blog.agilebits.com/2011/06/21/toward-better-master-passwords/

Usage: ./dicewords.py n m

tianhuil

# from http://stackoverflow.com/questions/1816958/cant-pickle-type-instancemethod-when-using-pythons-multiprocessing-pool-ma

from multiprocessing import Pool, cpu_count
from multiprocessing.pool import ApplyResult

# --------- see Stenven's solution above -------------
from copy_reg import pickle
from types import MethodType

def _pickle_method(method):

tianhuil

# Instaling Ubuntu
# http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH4/latest/CDH4-Quick-Start/cdh4qs_topic_3_2.html

# While, we're at it, let's install the JDK ...
echo "y" | sudo apt-get install openjdk-6-jdk

# ... and Yelp's mrjob
pip install mrjob

# Install maven

tianhuil

# if you need to install virtualenv
# pip install virtualenv

# in the folder
virtualenv venv
. venv/bin/activate

# to deactivate
# deactivate

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# To run this command:
# curl https://gist.githubusercontent.com/tianhuil/0aa9b265f55413dc7198/raw > setup_digitalocean.sh
# . setup_digitalocean.sh

# Update sudo apt-get
sudo apt-get update

# Installing scientific Python
sudo apt-get -y install --fix-missing build-essential python-dev python-numpy python-setuptools python-scipy libatlas-dev
sudo apt-get -y install --fix-missing build-essential python-sklearn

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#!/usr/bin/env python                                                                                         

import sys

n_rows = int(sys.argv[1])

data = map(lambda x: [], xrange(n_rows))
for k, line in enumerate(sys.stdin):
  data[k % n_rows] += [line.rstrip()]

tianhuil

import numpy as np
from collections import namedtuple

# Create a random dataset
rng = np.random.RandomState(42)
N_points = 10000
X = np.sort(5 * rng.rand(N_points, 1), axis=0)
y = np.sin(X).ravel()
y += .4 * (0.5 - rng.rand(N_points))