Robin raggleton

How Do I Into Git?

a helpful primer for users sick of git's poorly-named commands

I've used Git since 2011, and this is the stuff that I've always had to Google to remember. I hope it helps you not hate Git so much.

Assignment
Assign `value` to `variable` if `variable` is not already set, `value` is returned. Combine with a `:` no-op to discard/ignore return `value`.	`${variable="value"}` `: ${variable="value"}`

This gist details the following:

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

	tell application "Google Chrome"

	set tab_list to every tab in the front window

	repeat with the_tab in tab_list
	set the_url to the URL of the_tab
	tell application "Safari" to open location the_url
	end repeat

	end tell

	# Call virtualenvwrapper's "workon" if .venv exists. This is modified from--
	# http://justinlilly.com/python/virtualenv_wrapper_helper.html
	# which is linked from--
	# http://virtualenvwrapper.readthedocs.org/en/latest/tips.html#automatically-run-workon-when-entering-a-directory
	check_virtualenv() {
	if [ -e .venv ]; then
	env=`cat .venv`
	if [ "$env" != "${VIRTUAL_ENV##*/}" ]; then
	echo "Found .venv in directory. Calling: workon ${env}"
	workon $env

	"""
	Helper module for displaying ROOT canvases in ipython notebooks

	Usage example:
	# Save this file as rootnotes.py to your working directory.

	import rootnotes
	c1 = rootnotes.default_canvas()
	fun1 = TF1( 'fun1', 'abs(sin(x)/x)', 0, 10)
	c1.SetGridx()

	import json
	from pprint import pprint as pp

	import numpy as np
	from numba import autojit, typeof, int32

	INF = float('inf')

	@autojit
	def jenks_matrics_init(data, n_classes, ):

	import json
	from pprint import pprint as pp

	def jenks_matrices_init(data, n_classes):
	#fill the matrices with data+1 arrays of n_classes 0s
	lower_class_limits = []
	variance_combinations = []
	for i in xrange(0, len(data)+1):
	temp1 = []
	temp2 = []

	import subprocess
	import select
	from logging import DEBUG, ERROR


	def call(popenargs, logger, stdout_log_level=DEBUG, stderr_log_level=ERROR, **kwargs):
	"""
	Variant of subprocess.call that accepts a logger instead of stdout/stderr,
	and logs stdout messages via logger.debug and stderr messages via
	logger.error.