Mauricio Alejandro Toro Espejo maurotoro

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

#Non-mathematical Introductions

#Videos

Quick List of Resources for Topological Data Analysis with Emphasis on Machine Learning

This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.

Survey Papers

Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject

Topology and Data by Gunnar Carlsson
Barcodes: The Persistent Topology of Data by Robert Ghrist

Other Papers and Web Resources

Extracting insights from the shape of complex data using topology A good introductory paper in Nature on the Mapper algorithm.

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

	#!/usr/bin/python2


	# Copyright (C) 2016 Sixten Bergman
	# License WTFPL
	#
	# This program is free software. It comes without any warranty, to the extent
	# permitted by applicable law.
	# You can redistribute it and/or modify it under the terms of the Do What The
	# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See

	from random import random

	def crpgen(N = None, alpha = 1.0):
	"""
	A generator that implements the Chinese Restaurant Process
	"""
	counts = []
	n = 0
	while N == None or n < N:
	# Compute the (unnormalized) probabilities of assigning the new object

	MIT License

	Copyright (c) 2012 endolith

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is
	furnished to do so, subject to the following conditions:

	import math
	import random
	import csv
	import cProfile
	import numpy as np
	import hashlib

	memoization = {}

	Development Status :: 1 - Planning
	Development Status :: 2 - Pre-Alpha
	Development Status :: 3 - Alpha
	Development Status :: 4 - Beta
	Development Status :: 5 - Production/Stable
	Development Status :: 6 - Mature
	Development Status :: 7 - Inactive
	Environment :: Console
	Environment :: Console :: Curses
	Environment :: Console :: Framebuffer