Vishal Belsare vishalbelsare

Multiple SSH Keys settings for different github account

create different ssh key according the article Mac Set-Up Git

$ ssh-keygen -t rsa -C "[email protected]"

GNOME's tracker is a CPU and privacy hog. There's a pretty good case as to why it's neither useful nor necessary here: http://lduros.net/posts/tracker-sucks-thanks-tracker/

After discovering it chowing 2 cores, I decided to go about disabling it.

Directories

	;;; package --- Python Programming ;;;
	;;; Commentary:

	;;; Code:

	; don't show the startup screen
	(setq inhibit-startup-screen t)
	; don't show the menu bar
	(menu-bar-mode nil)

	/**
	* This stylesheet will work pretty well with a regular Org Mode HTML export.
	* However, you do have to turn off all of the defaults:
	*
	* (setq org-export-html-style-include-scripts nil
	* org-export-html-style-include-default nil)
	*
	* and insert a call to the stylesheet:
	*
	* (setq org-export-html-style

	# basic factor analysis
	# http://blog.alphaarchitect.com/2015/05/28/basic-factor-analysis-simple-tools-to-understand-what-drives-performance/

	import pandas as pd
	import pandas.io.data as web
	import datetime, re, copy
	import numpy as np
	import statsmodels.formula.api as sm

	start = datetime.date(2000,1,1)

	# basic factor analysis
	# http://blog.alphaarchitect.com/2015/05/28/basic-factor-analysis-simple-tools-to-understand-what-drives-performance/

	import pandas as pd
	import pandas.io.data as web
	import datetime, re, copy
	import numpy as np
	import statsmodels.formula.api as sm

	start = datetime.date(2000,1,1)

	;; See my explanation of this config here: https://github.com/jorgenschaefer/elpy/issues/1087
	(provide 'my-python-config)

	(require 'python)

	;;; NOTE: PATH environment var must have your path to Anaconda
	;;; environment, e.g., ~/anaconda/bin, as the last thing for
	;;; everything else below to work.
	;;; [[file:~/Encrypted/org-mode-repo/OrgModeFiles/howto-python.org]]
	;;; explains how to work with Anaconda virtual envs and Emacs.

	import numba as nb
	import numpy as np


	def impact_perm(nu, gamma, beta):
	"""Returns the permenant dollar price impact per unit time

	In paper as :math:`g(\nu)`

	Args: