Milad Alizadeh mil-ad

This was tested on a ThinkPad P70 laptop with an Intel integrated graphics and an NVIDIA GPU:

lspci | egrep 'VGA|3D'
00:02.0 VGA compatible controller: Intel Corporation Device 191b (rev 06)
01:00.0 VGA compatible controller: NVIDIA Corporation GM204GLM [Quadro M3000M] (rev a1)

A reason to use the integrated graphics for display is if installing the NVIDIA drivers causes the display to stop working properly. In my case, Ubuntu would get stuck in a login loop after installing the NVIDIA drivers. This happened regardless if I installed the drivers from the "Additional Drivers" tab in "System Settings" or the ppa:graphics-drivers/ppa in the command-line.

Typing vagrant from the command line will display a list of all available commands.

Be sure that you are in the same directory as the Vagrantfile when running these commands!

Creating a VM

vagrant init -- Initialize Vagrant with a Vagrantfile and ./.vagrant directory, using no specified base image. Before you can do vagrant up, you'll need to specify a base image in the Vagrantfile.
vagrant init <boxpath> -- Initialize Vagrant with a specific box. To find a box, go to the public Vagrant box catalog. When you find one you like, just replace it's name with boxpath. For example, vagrant init ubuntu/trusty64.

Starting a VM

vagrant up -- starts vagrant environment (also provisions only on the FIRST vagrant up)

$ ./githubapi-get.sh $GITHUBTOKEN /users/mbohun/repos

HTTP/1.1 200 OK
Server: GitHub.com
Date: Wed, 04 Mar 2015 04:30:29 GMT
Content-Type: application/json; charset=utf-8
Content-Length: 155683
Status: 200 OK

Useful tip from the late creator of matplotlib, John Hunter.

http://matplotlib.1069221.n5.nabble.com/dynamically-add-subplots-to-figure-td23571.html

import matplotlib.pyplot as plt

# start with one
fig = plt.figure()
ax = fig.add_subplot(111)

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

Q: How can I make a chain of function decorators in Python?

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

	import matplotlib.pyplot as plt
	import numpy as np

	def show_images(images, cols = 1, titles = None):
	"""Display a list of images in a single figure with matplotlib.

	Parameters
	---------
	images: List of np.arrays compatible with plt.imshow.

	.pre-wrapper{
	position:relative;
	}
	.pre-wrapper pre{
	padding-top: 25px;
	}
	.pre-wrapper .copy-snippet {
	border-radius: 0;
	min-width:55px;
	background: none repeat scroll 0 0 transparent;

	# Typical setup to include TensorFlow.
	import tensorflow as tf

	# Make a queue of file names including all the JPEG images files in the relative
	# image directory.
	filename_queue = tf.train.string_input_producer(
	tf.train.match_filenames_once("./images/*.jpg"))

	# Read an entire image file which is required since they're JPEGs, if the images
	# are too large they could be split in advance to smaller files or use the Fixed