eh-dub

// in $PROJECT_ROOT/typings/@sapper
declare module '@sapper/app' {
  // from sapper/runtime/src/app/types.ts
  // sapper doesn't export its types yet
  interface Redirect {
      statusCode: number
      location: string
  }
  // end

swalkinshaw

Moved to Shopify/graphql-design-tutorial

acolyer

A collection of The Morning Paper posts relating to containers, operating systems etc.

In order of first appearance in The Morning Paper.

• On the duality of operating system structures
• Why threads are a bad idea
• Why events are a bad idea
• Unikernels: library operating systems for the cloud
• The scalable commutativity rule: designing scalable software for multicore processors
• Jitsu: just-in time summoning of unikernels

conky_orange_4k.lua

--==============================================================================
--                            conky_orange.lua
--
--  author  : SLK
--  version : v2011062101
--  license : Distributed under the terms of GNU GPL version 2 or later
--
--  modified: me
--  version : v20171027
--  notes   : works on 4k screen. uses conky conf newer >v1.1

JPenuchot

# If you come from bash you might have to change your $PATH.
export PATH=$HOME/bin:/usr/local/bin:/home/jpenuchot/node_modules/.bin:$HOME/.cargo/bin:$PATH

# Path to your oh-my-zsh installation.
export ZSH=$HOME/.oh-my-zsh

# Set name of the theme to load. Optionally, if you set this to "random"
# it'll load a random theme each time that oh-my-zsh is loaded.
# See https://github.com/robbyrussell/oh-my-zsh/wiki/Themes
ZSH_THEME="robbyrussell"

jmoiron

all: monte-c monte-go monte-rs monte-gccgo

monte-go:
	go build montepi.go && mv montepi monte-go

monte-rs:
	rustc -O -o monte-rs montepi.rs

monte-c:
	gcc -std=c99 -O2 -o monte-c montepi.c -lm

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

terrywang

# /home/terrywang/.tmux.conf
# Based on tmux book written by Brian P. Hogan
# c-a o to switch to another panel
# c-d   to close shell
# c-a ! to close panel
# c-a w to list windows
# c-a " split pane horizontally
# c-a % split pane vertically

# Setting the prefix from C-b to C-a