John Arban Lewis johnarban

TERMINAL LESSON PLAN

It is important to note from the outset that most scientific computing is done in a unix environment, which is available on Macs via Terminal or X11 (now provided by XQuartz). Users of Windows machines need not worry. Most research is done in programming languages which can be installed on multiple machine architectures and used via different interactive development environments (IDEs). So if you don’t want to set up a Unix-like environment on your Windows computer, you will probably be fine for the summer, but you will either want to become very proficient at Windows or else set up a Unix-like environment. A Mac, if one can afford it, is a great investment.

Options for Windows users:

The easiest, fastest, and arguably best option is to install Cygwin/X and Putty.
Cygwin provides a Unix-like terminal

	All Ak	Low Ak	High Ak
synthetic P to P	2.7	1.8	4.44
P to D	.13	-1	2.0
D to D	-1.37	-1.57	-0.32
D to P	0.099	-0.13	0.087
Megeath P to P	0.65	0.31	0.67
P to D	0.475	0.40	0.49
D to D	-0.89	-1.25	-0.71
D to P	-1.44	-1.62	-1.18

SEE UPDATE BELOW

There are a few statistics to look at. The most obvious are the ones that compare the different parameters. These take a single parameter and compare it to the true value. I calculate 3 different statistics.

The Fractional Delta. This is essentially the percent difference of the model and the input values, but no absolute value is taken. This should be read as a percentage over/under estimation of the true value.
The Factor above or below. Read as the name implies.
Absolute fractional difference. Basically the standard percent error

	from glue.core import Data, DataCollection
	from glue.core.component_link import ComponentLink
	for i,d1 in enumerate(dc):
	for j,d2 in enumerate(dc):
	if j>i:#d1.label != d2.label:
	print('\n',d1.label,' <---> ',d2.label,'\n')
	comp1 = d1.components
	comp2 = d2.components
	for c1 in comp1:
	for c2 in comp2:

	import numpy as np
	import matplotlib.pyplot as plt
	import re
	import emoji # pip install emojie
	import datetime
	from wordcloud import WordCloud #pip install wordcloud
	import seaborn as sns # pip install seaborn
	from astropy.time import Time # pip install astropy
	plt.ion()

	#!/bin/bash
	#####################################################
	# Name: Bash CheatSheet for Mac OSX
	#
	# A little overlook of the Bash basics
	#
	# Usage:
	#
	# Author: J. Le Coupanec
	# Date: 2014/11/04