René Aguirre rene-aguirre

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!

\

	plugin
	naming convention: name_of_plugin.vim
	these files are sourced for all file types

	doc
	naming convention: name_of_plugin.txt
	these files document the functionality of a plugin

	color
	naming convention: name_of_colorscheme.vim

	#!/bin/bash
	#
	# DESCRIPTION:
	#
	# Set the bash prompt according to:
	# * the active virtualenv
	# * the branch/status of the current git repository
	# * the return value of the previous command
	# * the fact you just came from Windows and are used to having newlines in
	# your prompts.

	template <typename... T>
	constexpr auto make_array(T&&... values) ->
	std::array<
	typename std::decay<
	typename std::common_type<T...>::type>::type,
	sizeof...(T)> {
	return {std::forward<T>(values)...};
	}

	import numpy
	import scipy
	import matplotlib.pyplot as pyplot

	def decibel(lin):
	"""Convert amplitude to decibel.

	We might later need power to decibel..."""
	return 20*numpy.log10(norm(lin))

	#! /usr/bin/sh
	#
	# Build script to cross-compile OpenOCD with MinGW on Mint Linux (FTDI, JLINK, TI-ICDI, OSBDM).
	#
	# 7zip
	# curl
	# git
	# MinGW-W64
	# libtool
	# Automake

	from MySQLdb import cursors
	from flask import request

	class DataTablesServer(object):

	def __init__( self, request, columns, index, table, cursor):
	self.columns = columns
	self.index = index
	self.table = table
	# values specified by the datatable for filtering, sorting, paging

	// @property (nonatomic) BOOL enabled;
	// someObject = [OCMock partialMockForObject:[[SomeObject alloc] init]];

	[[[mock stub] andDo:^(NSInvocation *invocation) {
	BOOL enabled = someObject.enabled;
	NSValue *returnValue = [NSValue valueWithBytes:&enabled objCType:@encode(BOOL)];
	[invocation setReturnValue:&returnValue];
	}] enabled];