Nicholaus (Nico) Halecky nehalecky

For ETS's SKLL project, we found out the hard way that Travis-CI's support for numpy and scipy is pretty abysmal. There are pre-installed versions of numpy for some versions of Python, but those are seriously out of date, and scipy is not there are at all. The two most popular approaches for working around this are to (1) build everything from scratch, or (2) use apt-get to install more recent (but still out of date) versions of numpy and scipy. Both of these approaches lead to longer build times, and with the second approach, you still don't have the most recent versions of anything. To circumvent these issues, we've switched to using Miniconda (Anaconda's lightweight cousin) to install everything.

A template for installing a simple Python package that relies on numpy and scipy using Miniconda is provided below. Since it's a common s

This gist lets you keep IPython notebooks in git repositories. It tells git to ignore prompt numbers and program outputs when checking that a file has changed.

To use the script, follow the instructions given in the script's docstring.

For further details, read this blogpost.

The procedure outlined here is inspired by this answer on Stack Overflow.

Update HISTORY.rst
Commit the changes:

git add HISTORY.rst
git commit -m "Changelog for upcoming release 0.1.1."

Update version number (can also be patch or major)

bumpversion minor

Probably one of the easiest things you'll ever do with gpg

Install Keybase: https://keybase.io/download and Ensure the keybase cli is in your PATH

First get the public key

keybase pgp export | gpg --import

Next get the private key

	{%- macro form_field_label(field) -%}
	<label for="{{ field.id }}">{{ field.label.text }}
	{%- if field.flags.required -%}
	<abbr title="Diese Feld muss angegeben werden">*</abbr>
	{%- endif %}</label>
	{% endmacro %}

	{%- macro form_field_description(field) -%}
	{% if field.description %}
	<span class="descr">{{ field.description }}</span>

	{% macro form_field(field) -%}
	{% set with_label = kwargs.pop('with_label', False) %}
	{% set placeholder = '' %}
	{% if not with_label %}
	{% set placeholder = field.label.text %}
	{% endif %}
	<div class="control-group {% if field.errors %}error{% endif %}">
	{% if with_label %}
	<label for="{{ field.id }}" class="control-label">
	{{ field.label.text }}{% if field.flags.required %} *{% endif %}:

	import sys

	from pyspark.context import SparkContext
	from numpy import array, random as np_random
	from sklearn import linear_model as lm
	from sklearn.base import copy

	N = 10000 # Number of data points
	D = 10 # Numer of dimensions
	ITERATIONS = 5

	# -- mode: ruby --

	Vagrant.configure("2") do \|config\|
	config.vm.box = "precise64"
	config.vm.box_url = "http://files.vagrantup.com/precise64.box"
	config.vm.network :public_network, :bridge => "eth0"
	config.vm.synced_folder "data", "/data"
	config.vm.synced_folder "mesos", "/mesos"
	config.vm.synced_folder "/home/dln/src/mesos-docker/target/scala-2.10", "/mesos/mesos-docker"
	config.vm.synced_folder "salt", "/srv/salt"

	from pyspark import SparkContext

	import numpy as np

	from sklearn.cross_validation import train_test_split, Bootstrap
	from sklearn.datasets import make_classification
	from sklearn.metrics import accuracy_score
	from sklearn.tree import DecisionTreeClassifier

	def run(sc):

	#!/usr/bin/env python
	from __future__ import division, print_function

	"""
	This script generates a file to use for building authorea papers, and then runs
	latex on them.

	Requires python >= 2.6 (3.x should work, too)

	The key assumptions are: