amcasari amcasari

How We Got Here: A Slightly Irreverent History of Technology and Markets by Andy Kessler
Running Money: Hedge Fund Honchos, Monster Markets and My Hunt for the Big Score by Andy Kessler
Makers and Takers: The Rise of Finance and the Fall of American Business by Rana Foroohar
Nixonland: The Rise of a President and the Fracturing of America by Rick Perlstein
The Day of the Triffids by John Wyndham
Crucial Conversations: Tools for Talking When Stakes Are High by Kerry Patterson and Joseph Grenny
Getting to Yes: Negotiating Agreement Without Giving In by Roger Fisher and William L. Ury
Nonviolent Communication: A Language of Life, 3rd Edition: Life-Changing Tools for Healthy Relationships by Marshall B. Rosenberg
Getting More: How You Can Negotiate to Succeed in Work and Life by Stuart Diamond
Understanding Context: Environment, Language, and Information Architecture by Andrew Hinton

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

	// Open 'Messages', then go to developer tools console, paste this in, and watch it do all the work

	function sleep(ms) {
	return new Promise(resolve => setTimeout(resolve, ms));
	}

	while (true) {
	// Click first conversation "three dots" for dropdown menu
	document.querySelector('[data-testid=conversation] div:has(+svg)').click();

	import numpy as np
	import matplotlib.patches as mpatches
	import networkx as nx
	from matplotlib.patches import FancyArrowPatch as ArrowPath
	from matplotlib.font_manager import FontProperties

	def draw_curved_edges(edges, pos, ax, mu=0.05, edge_color="black", edge_width=1.0, alpha=1.0, arrow_scale=20.0, loopsize=0):

	"""